gemini-cli
An open-source AI agent that brings the power of Gemini directly into your terminal.
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57 preview projects.
An open-source AI agent that brings the power of Gemini directly into your terminal.
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.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
Spec-driven development (SDD) for AI coding assistants.
Customer and team operations project for checking CRM/low-code data models, permissions, workflows, and rollback.
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.
🦔 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.
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.
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.
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.
Self-hosted LLM web UI covering Docker deployment, auth, model backends, OAI/Ollama endpoints, and reverse proxy checks.
Developer workflow project for checking task state, code/agent collaboration, permissions, and delivery 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.
Vector retrieval project for checking embedding storage, query semantics, RAG integration, data boundaries, and rollback.
Pocket Flow: 100-line LLM framework. Let Agents build Agents!
Observability and evaluation project for turning logs, quality metrics, drift, or experiment results into reviewable signals.
Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse, with 35.24% token savings
Prevent cloud misconfigurations and find vulnerabilities during build-time in infrastructure as code, container images and open source packages with Checkov by Bridgecrew.
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
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.
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.
The open-source LLMOps platform: prompt playground, prompt management, LLM evaluation, and LLM observability all in one place.
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.
🚀 EvoAgentX: Building a Self-Evolving Ecosystem of AI Agents
MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.
Declarative language for composable Al workflows. Devtool for agents and mere humans.
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!
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.
Customer and team operations project for checking CRM/low-code data models, permissions, workflows, 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.
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.
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.
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.
Reactive harness layer for agent workflows. Describe automations in plain language, trace every decision, enforce policies, persist checkpoints. Python. Zero dependencies.
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.