AI Agent GitHub Repositories (2026) · Open Source Tools

The 100 line AI agent that solves GitHub issues or helps you in your command line. Radically simple, no huge configs, no giant monorepo—but scores >74% on SWE-bench verified!

Open Vision Agents by Stream. Build voice and vision agents quickly with any model or video provider. Uses Stream's edge network for ultra-low latency.

🔥 Open Source Browser API for AI Agents & Apps. Steel Browser is a batteries-included browser sandbox that lets you automate the web without worrying about infrastructure.

Free, open-source MCP server that gives AI coding agents (Claude Code, Codex, Cursor, OpenCode, ZCode…) design inspiration from award-winning websites — search with real screenshots, pull design DNA, capture and record live sites. A Mobbin alternative. No API key.

Open-source, self-hosted AI agent workspace and alternative to OpenAI Dots, Meta Muse, Grok Bot, Instinct, Manus Cue, Claude Cowork, and ChatGPT agent. MIT-licensed; includes chat, connectors, approvals, and optional computer use. Early prototype.

Zotero MCP: Connects your Zotero research library with Claude and other AI assistants via the Model Context Protocol to discuss papers, get summaries, analyze citations, and more.

A queryable second brain over your scattered notes and docs - hybrid retrieval (vector + BM25), section-level citations, and an MCP server so AI agents can use it. ~300 lines, no LangChain.

AI You Control: Choose your models. Own your data. Eliminate vendor lock-in.

Full AI context and content layer for coding agents over one MCP server — tree-sitter code-map, document RAG, shared memory, multi-agent comms, web crawl, git history + blame. 300+ languages, 10+ agent harnesses, pure Rust.

Koog is a JVM (Java and Kotlin) framework for building predictable, fault-tolerant and enterprise-ready AI agents across all platforms – from backend services to Android and iOS, JVM, and even in-browser environments. Koog is based on our AI products expertise and provides proven solutions for complex LLM and AI problems

Run AI agents on real and isolated machines — own kernel, filesystem, and network — with <100ms boot. Local first, OCI compatible, pure Rust.

Agent Skill for complex work: research before asking, ask before planning, plan before building, verify before delivering, independent review before calling it done. Plain text, no runtime.

Turn repeated Claude Code, Codex, and Cursor prompts into reusable slash commands. Local Python history extractor + Agent Skill.

The one and only agent harness for complex codebases. Project memory, planning, execution, and verified completion inside Codex.

A visual manager for fleets of Claude Code and Codex agents — real terminals, live context and cost, agents that message each other, across your Mac and any Linux box.

ReMe: Memory Management Kit for Agents - Remember Me, Refine Me.

TeamCity from your terminal – or your AI's. Builds, logs, agents, agent terminals, queues.

Claude Code guide in three levels. Beginner and Intermediate have hands-on lessons with checked exercises and cited facts; Advanced is being rebuilt. Independent community guide.

Model Context Protocol (MCP) Server to connect your AI with any MediaWiki

README file generator, powered by AI.