Open Source AI Agents
Discover 404 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.
404 repositories · updated October 4, 2026
session-to-skill: Turn OpenCode Sessions into Reusable Skills
An OpenCode skill that turns shared session links into reusable, publishable AI agent skills. It analyzes session patterns, checks the generated skill against TRACE and security criteria, then packages the result as a ZIP.
Local_LLM_Linux_Troubleshoot: Diagnose Linux with a Local LLM
A local web app and CLI that uses a llama.cpp model to investigate Linux issues, explain likely causes, and suggest repairs. It starts with read-only diagnostics and asks for permission before running system-changing commands.
sandbase-harness: Run Self-Hosted AI Agent Sessions
SandBase Harness is a local-first runtime for running AI agents with persistent sessions, governed tools, sandboxed execution, and audit trails. It suits teams that need to operate and inspect agents on their own infrastructure rather than build only around a model SDK.
declarative-agents: Define Tool-Augmented Agents in YAML
Declarative Agents is a Go runtime that interprets YAML profiles to run tool-augmented LLM agents. It suits teams that want to change agent workflows through configuration rather than rebuilding the runtime.
OpenWorkProof: Verify and Accept AI Agent Work
OpenWorkProof is an open protocol for authorizing AI agent tasks and recording verifiable execution evidence. It helps teams independently review whether work stayed within scope, then keep verification separate from human acceptance.
Orkas: Coordinate AI Agent Teams from a Desktop App
Orkas is a local-first desktop app for directing a Commander and specialist AI agents from one chat. It suits people who want to coordinate research, document work, and coding tools locally, using their own model keys.
da-forge: Generate and Deploy Teams Declarative Agents
da-forge turns Copilot Notebook grounding data into a Teams Declarative Agent package. It is for developers who need to create and sideload agents without manually building manifests and mapping capability data.
DeclarAgent: Run Auditable Workflows for AI Agents
DeclarAgent executes YAML runbooks through a CLI or MCP server, giving AI agents a structured way to validate, preview, and run multi-step workflows. It suits teams that want reusable plans and explicit controls around side effects.
intent-plane: Gate Agent Actions With Auditable Authorization
intent-plane is a Go authorization gate for agent actions that can have irreversible effects. It checks declared intents against signed policy and records decisions for independent verification, with a fail-closed posture when evaluation is uncertain.
Curie: Automate Scientific Experiments with AI Agents
Curie is a Python framework that uses AI agents to plan, run, analyze, and report scientific experiments. It is aimed at researchers and ML practitioners who want reproducible experimentation across their own datasets and code.
awesome-automated-ai: Find Tools for Automated AI and ML
A curated directory of tools spanning AutoML, LLM fine-tuning, prompt optimization, AI agents, evaluation, and MLOps. Use it to survey options by category and follow links to projects that fit your workflow.
SkillSpector: Scan AI Agent Skills for Security Risks
SkillSpector scans AI agent skills before installation, flagging suspicious instructions, risky code, and supply-chain issues. Use it for pre-install reviews, CI gates, or MCP-based scanning, with optional LLM analysis for context.