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
vibe-tools: Add AI Teammates and Skills to Coding Agents
vibe-tools is a TypeScript CLI that connects coding agents to AI models, web research, repository analysis, browser automation, and developer-service integrations. It suits agent-driven workflows that need capabilities beyond editing local code.
joinly: Let AI Agents Join and Participate in Meetings
Joinly connects AI agents to live video meetings through an MCP server, enabling them to listen, speak, chat, and use tools. It suits developers building meeting-aware agents who want a self-hosted setup and can manage its provider credentials and local runtime.
fast-agent: Build and Run LLM Agents and Workflows
fast-agent is a Python framework and CLI for building, running, and evaluating LLM agents. It connects agents to MCP servers and supports multi-agent workflows, multiple model providers, and interactive terminal use.
mcp-server-chart: Generate Charts Through MCP
A TypeScript MCP server that lets AI clients generate AntV visualizations and use them for data analysis. It suits people who want chart generation as an MCP tool, with support for more than 25 chart types and multiple transports.
agentic_security: Scan LLMs and Agent Workflows for Vulnerabilities
Agentic Security is a Python toolkit for probing LLMs and agent workflows with jailbreaks, fuzzing, and multimodal inputs. It fits developers and security teams who want to run configurable scans against an API and use the results in CI.
Qwen3-Coder: Generate Code and Power Coding Agents
Qwen3-Coder is Qwen’s family of code-focused language models for code generation, repository-scale understanding, and agentic development tasks. It offers open-weight checkpoints in several sizes, with context lengths up to 256K tokens.
vexa: Capture and Transcribe Online Meetings
Vexa runs bots that join Google Meet, Microsoft Teams, and Zoom, then provides speaker-attributed transcripts through an API. Teams can use its hosted service or self-host the stack and connect transcripts to workspace agents.
Paper2Code: Generate Code Repositories from ML Papers
Paper2Code is a research project that uses specialized LLM agents to turn machine-learning papers into code repositories. It suits researchers and developers exploring paper reproduction, with setup options for OpenAI APIs or vLLM.
linctl: Manage Linear Issues from the Command Line
linctl is a Go CLI for managing Linear issues, projects, teams, users, and comments. It suits developers and agents that need scriptable access to Linear through JSON output, GraphQL, or schema-driven MCP commands.
AstrBot: Build AI Chatbots for Messaging Platforms
AstrBot is a Python platform for connecting AI models, agents, and plugins to messaging apps through one chatbot framework. It suits individuals and teams building conversational assistants in existing chat workflows, with a WebUI and deployment options including Docker.
lemonai: Run a Self-Hosted AI Agent with a VM Sandbox
Lemon AI is a self-hostable agent for research, browsing, coding, and data analysis, with a Docker-based VM sandbox for code execution. It supports local and cloud language models, making it useful when you want control over deployment and data.
OmniParser: Turn Screenshots into GUI Elements
OmniParser parses interface screenshots into structured elements, helping vision-based agents identify and ground actions on screen. It suits developers building computer-use agents that need visual UI understanding.