Open Source AI Agents
Discover 406 open source AI Agents repositories from GitHub, each with an analysis of what it does, key features, use cases and alternatives. AI Agents projects here are most often combined with Python, Developer Tools and MCP. Last updated October 4, 2026.
406 repositories · updated October 4, 2026
awesome-agentic-ai: Explore Agentic AI Tools and Learning Resources
A curated guide to agentic AI frameworks, tools, papers, and learning materials, with example projects and recommendations for choosing technologies. Useful for developers learning agent systems or evaluating options for a project.
AI-Agents-Projects-Tutorials: Explore Practical AI Agent Examples
A collection of code notebooks and scripts exploring AI agents, multi-agent workflows, memory, planning, tool use, and agentic RAG. Useful for developers and learners who want runnable examples to study or adapt.
destructive_command_guard: Block Dangerous Commands Before Execution
dcg is a Rust hook that checks commands from AI coding agents before they run and blocks destructive operations. It suits developers who want guardrails against accidental data or work loss, with configurable coverage for additional tools and services.
MacOS-MCP: Automate macOS with AI Agents
MacOS-MCP is a Python MCP server that lets AI agents interact with macOS apps and interfaces through accessibility controls and system tools. It suits developers building desktop workflows, with macOS permissions and careful security review required.
rag-zero-to-hero-guide: Learn Retrieval-Augmented Generation
A learning guide to retrieval-augmented generation, from core concepts to evaluation and advanced approaches. It combines explanations, Jupyter notebook implementations, tool references, and survey papers for learners building RAG knowledge.
TencentDB-Agent-Memory: Share Reusable Memory Across AI Agents
TencentDB Agent Memory is a team memory hub that turns conversations, documents, and code into reusable assets for AI agents. It suits teams that want agents to share curated context and skills across sessions and frameworks.
griptape: Build AI Agents and Workflows in Python
Griptape is a modular Python framework for building generative AI applications with tasks, agents, pipelines, and workflows. It suits developers who want to combine language models with tools, memory, and retrieval components through swappable integrations.
memoripy: Build Evidence-Based Memory for AI Agents
Memoripy is a local memory runtime for AI agents that keeps versioned, sourced records and explains why they appear in recall. It suits developers who need scoped, auditable memory rather than an opaque store of accumulated text.
deepfabric: Generate and Evaluate Synthetic Training Data
DeepFabric generates domain-specific synthetic datasets for language-model training and agent evaluation. It combines topic planning, tool-use traces, validation, and evaluation in a Python library and CLI.
OpenWebAgent: Build Web Agents for Large Language Models
OpenWebAgent is a toolkit for building web agents that automate interactions with webpages using language or multimodal models. It pairs a Chrome extension with a configurable server, aimed at developers integrating their own models.
LazyLLM: Build Multi-Agent LLM Applications
LazyLLM is a Python framework for assembling, testing, and deploying multi-agent LLM applications with low-code workflows. It suits developers who want to combine models, tools, and RAG components while iterating across local or online services.
ChatArena: Build Multi-Agent Language Game Environments
ChatArena is a Python framework for running language games with multiple LLM agents. It suits researchers and developers studying agent interaction, collaboration, and social behavior, but the project was deprecated in August 2025 and is no longer supported.