Open Source AI Agents
Discover 32 open source Agent repositories from GitHub, each with an analysis of what it does, key features, use cases and alternatives. Agent projects here are most often combined with AI, Python and AI Agents. Last updated October 3, 2026.
32 repositories · updated October 3, 2026
AgentFS: The Filesystem Designed for AI Agents and Their State Management
AgentFS is an innovative filesystem specifically engineered for AI agents, providing robust storage abstractions. It leverages SQLite to offer auditability, reproducibility, and portability for agent states, tool calls, and file operations. This solution simplifies debugging, analysis, and deployment of AI agents by encapsulating their entire runtime into a single, queryable database file.
github-tools: Seamless GitHub API Integration for Vercel AI SDK Agents
github-tools offers a powerful collection of GitHub tools and agents specifically designed for the Vercel AI SDK. This project enables developers to effortlessly wrap GitHub's API as AI SDK tools, making them ready to plug into any AI agent. It significantly simplifies the creation of intelligent applications that interact with GitHub.
TrueForge: The Open-Source Agent Harness for LLM-Powered Agents
TrueForge is an open-source agent harness designed to transform large language models (LLMs) into fully functional agents. It provides the essential runtime layer, handling complex aspects like streaming, session persistence, tool servers, and sandboxing. Developers can leverage TrueForge to build and deploy robust, scalable AI agents with ease.
agent-memory: A Standalone Memory System for AI Coding Agents
agent-memory is a standalone memory system designed for AI coding agents, addressing the common problem of agents "forgetting" context between sessions. It provides a structured, four-layer pipeline for capturing, consolidating, and disclosing knowledge. This system ensures agents always start with relevant context, eliminating the need for manual keyword-dependent retrieval.
awesome-a2a: A Curated List of Agent2Agent (A2A) Resources
The awesome-a2a repository is a comprehensive, curated list of Agent2Agent (A2A) protocol servers, clients, tools, and frameworks. It serves as a central hub for developers looking to explore and build interoperable AI agent systems. This resource helps in discovering various A2A-compliant implementations and related utilities.
AgentSkills: A Curated Collection for LLM Agent Skills and Resources
AgentSkills is an extensive curated collection of resources, papers, tools, projects, and frameworks focused on building and deploying skills for large language models. This repository serves as a central hub for understanding the LLM skills ecosystem, from Anthropic's official systems to academic research and open-source agent frameworks. It is an invaluable resource for anyone exploring the rapidly evolving field of AI agents.
pi: Build and Customize AI Coding Agents
Pi is a TypeScript toolkit for building and using AI agents, with a coding-agent CLI, terminal UI, and unified API for multiple LLM providers. Its extensible design suits developers who want to adapt an agent to their workflows.
agent-sandbox: Manage Isolated Stateful Workloads on Kubernetes
Agent Sandbox adds Kubernetes APIs and controllers for isolated, stateful workloads with stable identity and persistent storage. Use it to run long-lived AI agent environments, development sessions, or other singleton workloads that need managed lifecycle control.
QwenPaw: Run a Self-Hosted Personal AI Assistant
QwenPaw is a personal AI assistant that runs locally or in the cloud and connects to chat apps, models, and extensible tools. It suits people who want a customizable agent with persistent memory and security controls under their own deployment.
ReMe: Manage Persistent Memory for AI Agents
ReMe turns agent conversations and resources into searchable, editable Markdown memory that can evolve over time. It suits developers building assistants that need reusable knowledge across sessions and agent runtimes.
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.
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.