openclaw
Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
Preview catalog
Search by project, capability, or tag; check whether it is safe to try, portable to your AI host, and clear about risks.
Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
Developer workflow project for checking task state, code/agent collaboration, permissions, and delivery boundaries.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
LLM application framework for checking model, prompt, tool, retrieval, and chain integration boundaries.
Web data extraction project for checking crawl boundaries, permissions, structured output, and recovery behavior.
The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.
An open-source AI agent that brings the power of Gemini directly into your terminal.
Browser automation project for web operations, testing, extraction, and permission-boundary checks.
Lightweight coding agent that runs in your terminal
Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.
Vector retrieval project for checking embedding storage, query semantics, RAG integration, data boundaries, and rollback.
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
🙌 OpenHands: AI-Driven Development
Frontend agent and generative UI project for checking React/Angular integration, app actions, UI state, and UX boundaries.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy and maintain. Automate everything from code deployment to network configuration to cloud management, in a language that approaches plain English, using SSH, with no agents to install on remote systems. https://docs.ansible.com.
Financial data platform for analysts, quants and AI agents.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
Data and AI pipeline project for checking inputs, outputs, state, latency, recovery, and deployment boundaries.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
Vector retrieval project for checking embedding storage, query semantics, RAG integration, data boundaries, and rollback.
A programming framework for agentic AI
Vector retrieval project for checking embedding storage, query semantics, RAG integration, data boundaries, and rollback.
Git with a cup of tea! Painless self-hosted all-in-one software development service, including Git hosting, code review, team collaboration, package registry and CI/CD
Spec-driven development (SDD) for AI coding assistants.
Run macOS VM in a Docker! Run near native OSX-KVM in Docker! X11 Forwarding! CI/CD for OS X Security Research! Docker mac Containers.
Prettier is an opinionated code formatter.
Customer and team operations project for checking CRM/low-code data models, permissions, workflows, and rollback.
LlamaIndex is the leading document agent and OCR platform
Vector retrieval project for checking embedding storage, query semantics, RAG integration, data boundaries, and rollback.
Developer workflow project for checking task state, code/agent collaboration, permissions, and delivery boundaries.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
Opiniated RAG for integrating GenAI in your apps 🧠 Focus on your product rather than the RAG. Easy integration in existing products with customisation! Any LLM: GPT4, Groq, Llama. Any Vectorstore: PGVector, Faiss. Any Files. Anyway you want.
Harness Open Source is an end-to-end developer platform with Source Control Management, CI/CD Pipelines, Hosted Developer Environments, and Artifact Registries.
Find vulnerabilities, misconfigurations, secrets, SBOM in containers, Kubernetes, code repositories, clouds and more
[EMNLP2025] "LightRAG: Simple and Fast Retrieval-Augmented Generation"
Convert PDF to markdown + JSON quickly with high accuracy
Vane is an AI-powered answering engine.
DSPy: The framework for programming—not prompting—language models
🦔 PostHog is an all-in-one developer platform for building successful products. We offer product analytics, web analytics, session replay, error tracking, feature flags, experimentation, surveys, data warehouse, a CDP, and an AI product assistant to help debug your code, ship features faster, and keep all your usage and customer data in one stack.
Frontend agent and generative UI project for checking React/Angular integration, app actions, UI state, and UX boundaries.
A modular graph-based Retrieval-Augmented Generation (RAG) system
LLM application framework for checking model, prompt, tool, retrieval, and chain integration boundaries.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
Vector retrieval project for checking embedding storage, query semantics, RAG integration, data boundaries, and rollback.
Vector retrieval project for checking embedding storage, query semantics, RAG integration, data boundaries, and rollback.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
Vector retrieval project for checking embedding storage, query semantics, RAG integration, data boundaries, and rollback.
Agent SDK project for checking tool calls, state, handoffs, traces, evaluation, and permission boundaries.
Vector retrieval project for checking embedding storage, query semantics, RAG integration, data boundaries, and rollback.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
Find secrets with Gitleaks 🔑
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
Invoke is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, and serves as the foundation for multiple commercial products.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
Vector retrieval project for checking embedding storage, query semantics, RAG integration, data boundaries, and rollback.
Event Driven Orchestration & Scheduling Platform for Mission Critical Applications
Developer workflow project for checking task state, code/agent collaboration, permissions, and delivery boundaries.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
Vector retrieval project for checking embedding storage, query semantics, RAG integration, data boundaries, and rollback.
Find, verify, and analyze leaked credentials
Concise, consistent, and legible badges in SVG and raster format
Vector retrieval project for checking embedding storage, query semantics, RAG integration, data boundaries, and rollback.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
Data and AI pipeline project for checking inputs, outputs, state, latency, recovery, and deployment boundaries.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
Vector retrieval project for checking embedding storage, query semantics, RAG integration, data boundaries, and rollback.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
Crawlee—A web scraping and browser automation library for Node.js to build reliable crawlers. In JavaScript and TypeScript. Extract data for AI, LLMs, RAG, or GPTs. Download HTML, PDF, JPG, PNG, and other files from websites. Works with Puppeteer, Playwright, Cheerio, JSDOM, and raw HTTP. Both headful and headless mode. With proxy rotation.
Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.
Platform for stateful agents: AI with advanced memory that can learn and self-improve over time.
Data and AI pipeline project for checking inputs, outputs, state, latency, recovery, and deployment boundaries.
Agent SDK project for checking tool calls, state, handoffs, traces, evaluation, and permission boundaries.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MaxKB is a Doramagic preview pack compiled from public project evidence and validation signals.
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
The industry-leading GraphQL client for TypeScript, JavaScript, React, Vue, Angular, and more. Apollo Client delivers powerful caching, intuitive APIs, and comprehensive developer tools to accelerate your app development.
Self-hosted LLM web UI covering Docker deployment, auth, model backends, OAI/Ollama endpoints, and reverse proxy checks.
Vector retrieval project for checking embedding storage, query semantics, RAG integration, data boundaries, and rollback.
LLM application framework for checking model, prompt, tool, retrieval, and chain integration boundaries.
Agent SDK project for checking tool calls, state, handoffs, traces, evaluation, and permission boundaries.
Toolkit for linearizing PDFs for LLM datasets/training
Vector retrieval project for checking embedding storage, query semantics, RAG integration, data boundaries, and rollback.
Agent SDK project for checking tool calls, state, handoffs, traces, evaluation, and permission boundaries.
Observability and evaluation project for turning logs, quality metrics, drift, or experiment results into reviewable signals.
Data and AI pipeline project for checking inputs, outputs, state, latency, recovery, and deployment boundaries.
Vector retrieval project for checking embedding storage, query semantics, RAG integration, data boundaries, and rollback.
Light, fluffy, and always free - The AWS Local Emulator alternative
FinRL®: Financial Reinforcement Learning. 🔥
Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems.
Developer workflow project for checking task state, code/agent collaboration, permissions, and delivery boundaries.
ComfyUI-Manager is an extension designed to enhance the usability of ComfyUI. It offers management functions to install, remove, disable, and enable various custom nodes of ComfyUI. Furthermore, this extension provides a hub feature and convenience functions to access a wide range of information within ComfyUI.
Convert documents to structured data effortlessly. Unstructured is open-source ETL solution for transforming complex documents into clean, structured formats for language models. Visit our website to learn more about our enterprise grade Platform product for production grade workflows, partitioning, enrichments, chunking and embedding.
Frontend agent and generative UI project for checking React/Angular integration, app actions, UI state, and UX boundaries.
Structured Outputs
From workspace to agent memory
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
Open Machine Learning Compiler Framework
structured outputs for llms
SeleniumBase is a framework for UI Testing, Web Scraping, and Stealth. Passes every bot-detection test with CDP Mode, and extends Playwright.
Vector retrieval project for checking embedding storage, query semantics, RAG integration, data boundaries, and rollback.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
Project has been discontinued ////// Mailchimp Open Commerce is an API-first, headless commerce platform built using Node.js, React, GraphQL. Deployed via Docker and Kubernetes.
HunyuanVideo: A Systematic Framework For Large Video Generation Model
Developer workflow project for checking task state, code/agent collaboration, permissions, and delivery boundaries.
Vector retrieval project for checking embedding storage, query semantics, RAG integration, data boundaries, and rollback.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
Vector retrieval project for checking embedding storage, query semantics, RAG integration, data boundaries, and rollback.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
Botkit is an open source developer tool for building chat bots, apps and custom integrations for major messaging platforms.
Convert any URL to an LLM-friendly input with a simple prefix https://r.jina.ai/
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
Pocket Flow: 100-line LLM framework. Let Agents build Agents!
Official repository for LTX-Video
OpenVINO™ is an open source toolkit for optimizing and deploying AI inference
Incremental engine for long horizon agents 🌟 Star if you like it!
Developer workflow project for checking task state, code/agent collaboration, permissions, and delivery boundaries.
Observability and evaluation project for turning logs, quality metrics, drift, or experiment results into reviewable signals.
Build, Manage and Deploy AI/ML Systems
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse, with 35.24% token savings
Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.
An open-source framework for detecting, redacting, masking, and anonymizing sensitive data (PII) across text, images, and structured data. Supports NLP, pattern matching, and customizable pipelines.
Prevent cloud misconfigurations and find vulnerabilities during build-time in infrastructure as code, container images and open source packages with Checkov by Bridgecrew.
High accuracy RAG for answering questions from scientific documents with citations
The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!
Vector retrieval project for checking embedding storage, query semantics, RAG integration, data boundaries, and rollback.
Self-evolving memory across Agent and platform. The one portable memory layer for every agent they use - Claude Code, Codex, OpenClaw, Hermes, and more
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
the LLM vulnerability scanner
Bandit is a tool designed to find common security issues in Python code.
Vector retrieval project for checking embedding storage, query semantics, RAG integration, data boundaries, and rollback.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
Self-hosted LLM web UI covering Docker deployment, auth, model backends, OAI/Ollama endpoints, and reverse proxy checks.
Vector retrieval project for checking embedding storage, query semantics, RAG integration, data boundaries, and rollback.
Flexible and powerful framework for managing multiple AI agents and handling complex conversations
Observability and evaluation project for turning logs, quality metrics, drift, or experiment results into reviewable signals.
🔥 Open Source Browser API for AI Agents & Apps. Steel Browser is a batteries-included browser sandbox that lets you automate the web without worrying about infrastructure.
The Open Source Feature Store for AI/ML
Dynamic, resilient AI orchestration. Coordinate data, models, and compute as you build AI workflows.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
Large Action Model framework to develop AI Web Agents
Data and AI pipeline project for checking inputs, outputs, state, latency, recovery, and deployment boundaries.
Python & Command-line tool to gather text and metadata on the Web: Crawling, scraping, extraction, output as CSV, JSON, HTML, MD, TXT, XML
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
Tiny and powerful JavaScript full-text search engine for browser and Node
Frontend agent and generative UI project for checking React/Angular integration, app actions, UI state, and UX boundaries.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
Vector retrieval project for checking embedding storage, query semantics, RAG integration, data boundaries, and rollback.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
Spec-driven development for large codebases
ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.
The open source platform for AI-native application development.
Vector retrieval project for checking embedding storage, query semantics, RAG integration, data boundaries, and rollback.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
Agent SDK project for checking tool calls, state, handoffs, traces, evaluation, and permission boundaries.
A framework for serving and evaluating LLM routers - save LLM costs without compromising quality
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
The CLI and skills that turn any coding assistant into an expert at creating, evaluating, and deploying AI agents on Google Cloud.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
Vector retrieval project for checking embedding storage, query semantics, RAG integration, data boundaries, and rollback.
An enterprise friendly way of detecting and preventing secrets in code.
Enhanced LanceDB memory plugin for OpenClaw — Hybrid Retrieval (Vector + BM25), Cross-Encoder Rerank, Multi-Scope Isolation, Management CLI
The easiest way to use Agentic RAG in any enterprise
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
The open-source LLMOps platform: prompt playground, prompt management, LLM evaluation, and LLM observability all in one place.
AdalFlow: The library to build & auto-optimize LLM applications.
Vector retrieval project for checking embedding storage, query semantics, RAG integration, data boundaries, and rollback.
Vector retrieval project for checking embedding storage, query semantics, RAG integration, data boundaries, and rollback.
Distributed Peer-to-Peer Web Search Engine and Intranet Search Appliance
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
A simple, easy-to-hack GraphRAG implementation
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
Easiest and laziest way for building multi-agent LLMs applications.
Developer workflow project for checking task state, code/agent collaboration, permissions, and delivery boundaries.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
Vector retrieval project for checking embedding storage, query semantics, RAG integration, data boundaries, and rollback.
Agent SDK project for checking tool calls, state, handoffs, traces, evaluation, and permission boundaries.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
Neo.mjs is a self-evolving software organism: a professional end-to-end AI engineering team whose cross-model swarm inhabits live apps via Neural Link, Active Hybrid GraphRAG, DreamService, and self-healing loops.
Scalable and efficient data transformation framework - backwards compatible with dbt.
ReMe: Memory Management Kit for Agents - Remember Me, Refine Me.
🚀 EvoAgentX: Building a Self-Evolving Ecosystem of AI Agents
Fast, Accurate, Lightweight Python library to make State of the Art Embedding
Vector retrieval project for checking embedding storage, query semantics, RAG integration, data boundaries, and rollback.
Structured data gathering from any website using AI-powered scraper, crawler, and browser automation. Scraping and crawling with natural language prompts. Equip your LLM agents with fresh data. AI Studio python SDK for intelligent web data gathering.
🔍 Tiny, full-text search engine for static websites built with Rust and Wasm
[NeurIPS 2024] OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
Native CSS search engine
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
The AI-Native Search Database. Best for agent storage, it unifies vector, text, structured, and semi-structured data into a single engine. This all-in-one database makes agents smarter, easier to run, and more stable.
Vector retrieval project for checking embedding storage, query semantics, RAG integration, data boundaries, and rollback.
OpenKB: Open LLM Knowledge Base
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
Python & JS/TS SDK for running AI-generated code/code interpreting in your AI app
🌀 AI-native framework for building data portals. Scaffold a full portal from a brief and load datasets in minutes with agentic skills — any backend (CKAN, GitHub, Frictionless).
Vector retrieval project for checking embedding storage, query semantics, RAG integration, data boundaries, and rollback.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
Self-hosted LLM web UI covering Docker deployment, auth, model backends, OAI/Ollama endpoints, and reverse proxy checks.
Vector retrieval project for checking embedding storage, query semantics, RAG integration, data boundaries, and rollback.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
[ACL2026] "MiniRAG: Making RAG Simpler with Small and Open-Sourced Language Models"
Vector retrieval project for checking embedding storage, query semantics, RAG integration, data boundaries, and rollback.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
Vector retrieval project for checking embedding storage, query semantics, RAG integration, data boundaries, and rollback.
Vector retrieval project for checking embedding storage, query semantics, RAG integration, data boundaries, and rollback.
A toolkit to create optimal Production-readyRetrieval Augmented Generation(RAG) setup for your data
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
LLM application framework for checking model, prompt, tool, retrieval, and chain integration boundaries.
Vector retrieval project for checking embedding storage, query semantics, RAG integration, data boundaries, and rollback.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
Vector retrieval project for checking embedding storage, query semantics, RAG integration, data boundaries, and rollback.
AgentQL is a suite of tools for connecting your AI to the web. Featuring a query language and Playwright integrations for interacting with elements and extracting data quickly, precisely, and at scale. Includes REST API, Python and JavaScript SDKs, browser debugger.
Semantica 🧠 • Build AI systems that can explain, trace, and justify every decision. Knowledge graphs, context graphs, reasoning engines, provenance, and governance for production AI.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
ragflow-plus is a Doramagic preview pack compiled from public project evidence and validation signals.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
Vector retrieval project for checking embedding storage, query semantics, RAG integration, data boundaries, and rollback.
Open-source tool to visualise your RAG 🔮
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
Vector retrieval project for checking embedding storage, query semantics, RAG integration, data boundaries, and rollback.
Open source and self-hostable browser automation library for AI agents
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
Vector retrieval project for checking embedding storage, query semantics, RAG integration, data boundaries, and rollback.
Ship RAG based LLM web apps in seconds.
Lite & Super-fast re-ranking for your search & retrieval pipelines. Supports SoTA Listwise and Pairwise reranking based on LLMs and cross-encoders and more. Created by Prithivi Da, open for PRs & Collaborations.
📚 Process PDFs, Word documents and more with spaCy
Official inference library for pre-processing of Mistral models
Vector retrieval project for checking embedding storage, query semantics, RAG integration, data boundaries, and rollback.
Declarative language for composable Al workflows. Devtool for agents and mere humans.
Build compute kernels and load them from the Hub.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
Agent SDK project for checking tool calls, state, handoffs, traces, evaluation, and permission boundaries.
A collection of useful extensions for Django.
Transform code to support top-level await in normal browsers for Vite.
Vector retrieval project for checking embedding storage, query semantics, RAG integration, data boundaries, and rollback.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
A tool for running automated static analysis on code posted to a Review Board instance.
Vector retrieval project for checking embedding storage, query semantics, RAG integration, data boundaries, and rollback.
File Storage & Sandbox Backends for Pydantic AI: console tools for file operations, Docker-isolated sandboxes for safe execution, and permission system with presets for access control. Enables secure multi-user handling and testing in agents via in-memory, local, or containerized storage.
12 production-grade skills for AI coding agents — setup, scope, discipline, code review, security, session management. Works with Claude Code, Codex, and Cursor.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
CReact is how you write your workflows using JSX, build durable apps that you can sync with external state, build jobs, agents, infrastructure, anything you can declare you can build!
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
Python function spy support for unit tests
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
You.com skills and plugins for web search, content extraction, research, finance, and integration discovery, helping AI agents build with up-to-date web context.
Agent workspace template for gptme - create persistent autonomous agents that build, learn, socialize, and assist you with whatever you need.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
Qualixar OS: The Universal OS for AI Agents. Claw-compatible. 12 topologies, Forge AI team designer, 24-tab dashboard, skill marketplace. PAPER: https://arxiv.org/abs/2604.06392
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
Vector retrieval project for checking embedding storage, query semantics, RAG integration, data boundaries, and rollback.
Filecoin Pin
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
An open-source, model-agnostic agent harness for local LLMs. Define agents in YAML (tools, memory, deny-first permissions) and run them against any OpenAI-compatible endpoint: vLLM, Ollama, LM Studio, or llama.cpp.
Building TITAN — the open-source AI operating system for trusted autonomous work: agents, tools, memory, approvals, receipts, voice, mission control, and SOMA. npm i -g titan-agent
Vector retrieval project for checking embedding storage, query semantics, RAG integration, data boundaries, and rollback.
An adversarially benchmarked reference implementation for pre-action agent authorization. Framework-agnostic tool permissions, identity verification, scoped access control, and audit logging for any AI agent.
Agent SDK project for checking tool calls, state, handoffs, traces, evaluation, and permission boundaries.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
Developer workflow project for checking task state, code/agent collaboration, permissions, and delivery boundaries.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
The grainulation ecosystem. Structured research, decision-making, and knowledge management for AI agents.
Vector retrieval project for checking embedding storage, query semantics, RAG integration, data boundaries, and rollback.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
Agent SDK project for checking tool calls, state, handoffs, traces, evaluation, and permission boundaries.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
Create registries managing collections of classes or objects, for more extensible and maintainable codebases.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
Vector retrieval project for checking embedding storage, query semantics, RAG integration, data boundaries, and rollback.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
Vector retrieval project for checking embedding storage, query semantics, RAG integration, data boundaries, and rollback.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
Customer and team operations project for checking CRM/low-code data models, permissions, workflows, and rollback.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
LLM-driven browser automation with wallet extension testing. Accessibility tree + optional vision.
Vector retrieval project for checking embedding storage, query semantics, RAG integration, data boundaries, and rollback.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
Vector retrieval project for checking embedding storage, query semantics, RAG integration, data boundaries, and rollback.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
Investment-research skills for Claude Code: top-down macro-aware framework, bilingual EN/CN NL triggers, Telegram alerts (2-min cron + 1-3s webhook). For personal-finance buy-side use (swing/position/LEAPS) — not HFT. See NEXT-STEPS.md for roadmap.
Vector retrieval project for checking embedding storage, query semantics, RAG integration, data boundaries, and rollback.
Vector retrieval project for checking embedding storage, query semantics, RAG integration, data boundaries, and rollback.
Vector retrieval project for checking embedding storage, query semantics, RAG integration, data boundaries, and rollback.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
Vector retrieval project for checking embedding storage, query semantics, RAG integration, data boundaries, and rollback.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
Vector retrieval project for checking embedding storage, query semantics, RAG integration, data boundaries, and rollback.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
Vector retrieval project for checking embedding storage, query semantics, RAG integration, data boundaries, and rollback.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
Python SDK that gives xAI Grok Voice agents persistent memory across sessions, devices, and models. LiveKit-enabled. MIT licensed.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
Vector retrieval project for checking embedding storage, query semantics, RAG integration, data boundaries, and rollback.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
Vector retrieval project for checking embedding storage, query semantics, RAG integration, data boundaries, and rollback.
Developer workflow project for checking task state, code/agent collaboration, permissions, and delivery boundaries.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
Index and search Markdown vaults as knowledge graphs to provide AI agents with persistent, structured long-term memory across sessions.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
One workflow framework, every coding agent. Install your AI-coding discipline into Claude Code, Cursor, GitHub Copilot, Gemini CLI, Codex, and Windsurf from one tool-agnostic core. Apache 2.0.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
Type hints and utility objects for Python and Django projects.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
Manage project-scoped personal AI configuration bundles (skills, commands, agents) for AI coding tools while supporting both stealth (git-excluded) and tracked installation, with full support for Git worktrees.
Free AI agent code hygiene checker. Scans for hardcoded LLM keys, shared credentials, and long-lived permissions in TypeScript, JavaScript, and Python projects. By Vorim AI.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
Arcjet runtime security SDK for Next.js — bot protection, rate limiting, prompt injection detection, PII blocking, and WAF
**Boffin (npm: `boffinit`) is a staff-engineer control layer for AI coding
Cactus Hybrid
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
Bootstrap projects with a production-ready Claude Code workflow in one command. Templates for .NET, Java, Python, Rust+Tauri, MAUI, or any language.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
The official CLI for Lark/Feishu open platform
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
Crawlora Agent Skills — structured public web data (search, e-commerce, social, finance, app stores, media, reviews) via the Crawlora REST API. Installable in any agent with the skills CLI or as a Claude Code plugin marketplace.
New Relic Security Agent for Node.js
`deepsec` an agent-powered vulnerability scanner that you can run in your own infrastructure, optimized to perform on-demand review of all code in existing
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
Reactive harness layer for agent workflows. Describe automations in plain language, trace every decision, enforce policies, persist checkpoints. Python. Zero dependencies.
**Make agent-written code reviewable.**
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
The AI coding agent built for the terminal. Generate code from natural language, automate tasks, and run terminal commands -- powered by 500+ AI models.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
LLM application framework for checking model, prompt, tool, retrieval, and chain integration boundaries.
Vector retrieval project for checking embedding storage, query semantics, RAG integration, data boundaries, and rollback.
**An open-source cost controller for AI agent loops.**
Mantine DataTable
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
Developer workflow project for checking task state, code/agent collaboration, permissions, and delivery boundaries.
Nimic is a pure Python module that facilitates writing AOT compilable code with a subset of Python (domain specific language), aiming to get C-level performance without leaving Python. Based on ctypes built-in module, it
New Relic agent
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
> **OfficeCLI is the world's first and the best Office suite designed for AI agents.**
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
LLM application framework for checking model, prompt, tool, retrieval, and chain integration boundaries.
Preview local HTML reports, Markdown docs, and static mini apps, then publish
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
**Cut Claude Code's input tokens by rendering bulky context as images — the same system prompt, tool docs, and history, in a fraction of the tokens.**
The official, opinionated, batteries-included toolset for efficient Redux development
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
**Zero-runtime TypeScript.** scriptc compiles ordinary TypeScript into small, fast native executables — no Node, no V8, no JavaScript engine in the binary.
Vector retrieval project for checking embedding storage, query semantics, RAG integration, data boundaries, and rollback.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
An AI web browsing framework focused on simplicity and extensibility.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
A conversational AI-driven telecom multi-agent system for managing call balances, push notifications, marketing, targeting, and sales.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
Provide persistent, outcome-weighted memory for AI trading agents to improve decision-making across sessions with the TradeMemory Protocol.
Vector retrieval project for checking embedding storage, query semantics, RAG integration, data boundaries, and rollback.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
World Model Optimizer
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.