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
dexter: Research Financial Questions with an Autonomous Agent
Dexter turns complex financial questions into research plans, gathers market data with tools, and checks its work before responding. It is aimed at developers and researchers who want an extensible, command-line financial research agent, not a source of investment advice.
PixelRAG: Search Documents by Their Visual Content
PixelRAG indexes screenshots of web pages and documents for visual retrieval, preserving charts, tables, and layout that text extraction can lose. It offers a Python pipeline, command-line renderer, and hosted search API.
orca: Coordinate Parallel Coding Agents in One Workspace
Orca is a desktop and mobile workspace for running coding agents side by side in isolated Git worktrees. It helps developers coordinate, monitor, and review agent work, locally or on remote machines.
loopy: Find and Run Repeatable AI-Agent Workflows
Loopy is an installable skill for discovering, adapting, creating, and running bounded AI-agent workflows called loops. It works with the separate Loop Library catalog and suits people who want repeatable tasks with explicit checks and stopping points.
Agent-Reach: Give AI Agents Access to Web Sources
Agent-Reach is a Python CLI that helps AI agents read and search across websites and platforms such as YouTube, Reddit, GitHub, and Twitter. It installs and checks integrations, with some sources available immediately and others requiring login or configuration.
pinchtab: Control Chrome for AI Agents
PinchTab is a local-first Go server and CLI that lets AI agents control Chrome through an HTTP API. It supports token-efficient page interaction, persistent profiles, and multiple browser instances.
codebase-memory-mcp: Build a Searchable Code Knowledge Graph
A local MCP server that indexes repositories into a persistent graph of code structure and relationships. It helps AI coding agents answer architectural and code-navigation questions with focused queries instead of repeated file searches.
GLM-5: Power Long-Horizon Coding and Agentic Tasks
GLM-5 is a family of large language models from Z.ai for complex coding, systems engineering, and long-running agent tasks. The repository provides model downloads, serving guidance, and fine-tuning references.
synara: Manage Coding Agents in a Desktop Workspace
Synara is a local-first desktop workspace for coordinating coding-agent sessions with project files, terminals, previews, and Git review. It suits developers who want to run locally installed agent providers and keep execution and review in one place.
my-virtual-world: Host a 3D World for AI Agents
My Virtual World is a self-hosted 3D environment where AI agents can move, interact with objects, and show activity from local agent systems. It suits people who want a visual workspace for OpenClaw, Hermes, or other agent harnesses.
Understand-Anything: Explore Code Through Knowledge Graphs
Understand-Anything analyzes codebases, documentation, and knowledge bases, then presents their structure and relationships as interactive graphs. It is designed for developers and teams who want faster onboarding, code exploration, and change-impact analysis through AI coding platforms.
AutoHedge: Automate Market Analysis and Trading with AI Agents
AutoHedge coordinates AI agents to analyze markets, assess risk, and execute trades, with autonomous trading currently supported on Solana. It is aimed at developers and teams exploring automated trading workflows, not a substitute for independent financial judgment.