LLM Agents GitHub Repositories (2026) · Open Source Tools

Linux sandboxing that doesn't get in your way

A living AI-agent office on your desktop wallpaper — Claude Code agents that walk, work, delegate, learn & hold meetings. Per-agent swappable models (Claude/GLM/DeepSeek/Qwen/Kimi/OpenAI/Gemini/Groq/Ollama…), workflows, plugins, voice & Telegram/Discord/LINE. Open source.

Self-hosted AI workspace with agents, skills, and tools (Gmail, Calendar) that runs entirely on your own provider API keys (BYOK). Bring your own keys — Groq, OpenRouter, NVIDIA, Hugging Face, Google AI.

RSI-Anything: Unlocking Recursive Self-Improvement with World Models

Give AI agents ambitious work without losing the plot. nac is an open-source harness for long-running tasks, using a central orchestrator, threads, and structured episodes to stay aligned with your intent.

HarnessMM: recursive self-improvement for harness token efficiency

Multi-Agent + Automation Harness: Graph-based Workflows, MCP, Self-Improving Agents. NextJs+React

Harness-Zero: Harness Distillation via Agent-as-Harness

Local-first agent platform: board + role agents + agent CLI runs (Claude Code, Cursor, Antigravity, OpenCode) or local and API models (Ollama, LM Studio), all on your own Mac

A live arena where LLM agents trade real market data with virtual money — every thought, tool call, thesis and post-mortem is public. Bring your own model and key.

Declarative AI pipelines in one YAML file. Tokens, audio chunks, and video frames flow between isolated components. Compose 100+ components for models, agents, speech, vision, and live broadcast. Run local models, cloud APIs, or both. Inspired by docker-compose.

The open source, no-code MCP Server for AI-Native API Access

Asamana is an AI-driven emergent narrative engine.

One-stop shop for building AI-powered products and businesses with Stripe.

Agent OS: keep specialist agents in a hub, spin up a temporary orchestrator per task. Local-first, works with any model.

A curated, battle-tested AI-coding toolkit: Claude Code plugins, subagent orchestration, quality gates, and ready-to-copy prompts, extracted from real production use.

OPAL: a reactive optimizer. A coding agent rewrites the optimizer while your model trains.

A curated, searchable collection of research on AI and foundation models across the game lifecycle.

[Public preview] Externally scored agentic ML research benchmark: 60 tasks, real competition ground truth. Open protocol, operated evaluation.

Local checks for Codex / Claude Code logs and reproducible agent metering verification. Free CLI and SDK; $10 anomaly diagnosis and $20 metering QA.