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MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
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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.
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.
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.
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.
A programming framework for agentic AI
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.
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.
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
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
A modular graph-based Retrieval-Augmented Generation (RAG) system
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.
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.
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
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.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
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.
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.
Toolkit for linearizing PDFs for LLM datasets/training
Vector retrieval project for checking embedding storage, query semantics, RAG integration, data boundaries, and rollback.
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. 🔥
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.
Frontend agent and generative UI project for checking React/Angular integration, app actions, UI state, and UX boundaries.
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.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
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.
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.
Build, Manage and Deploy AI/ML Systems
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
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.
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.
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
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.
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.
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.
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.
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.
AdalFlow: The library to build & auto-optimize LLM applications.
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.
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.
Scalable and efficient data transformation framework - backwards compatible with dbt.
ReMe: Memory Management Kit for Agents - Remember Me, Refine Me.
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.
🔍 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).
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.
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.
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 đź”®
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.
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.
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.
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.
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.
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.
Python function spy support for unit tests
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.
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
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.
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.
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.
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.
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.
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.
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.
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.
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.
Index and search Markdown vaults as knowledge graphs to provide AI agents with persistent, structured long-term memory across sessions.
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.
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.
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.
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.
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.
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.
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.
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.**
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.
Provide persistent, outcome-weighted memory for AI trading agents to improve decision-making across sessions with the TradeMemory Protocol.
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