#multi-agent

Agentic coding in the terminal: the model writes its own multi-agent workflows (Gigacode). Provider-agnostic, local-first, 15+ model providers, MCP support.

可私有部署的多租户知识智能体平台：统一 RAG、知识图谱、多智能体、MCP/Skills、沙盒与权限管理。Self-hosted knowledge agent platform for RAG, knowledge graphs and multi-agent workflows.

Ultra-lightweight, open-source, self-hosted personal AI agent framework in Python with WebUI, tools, memory, MCP, multi-agent workflows, automation, and chat apps

Open protocol for AI agent accountability. Cryptographic identity, scoped delegation that narrows per hop, gateway enforcement, signed receipts for every action. TypeScript reference, Apache-2.0.

The Enterprise-Grade Multi-Agent Orchestration Framework. Website: https://swarms.ai

🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, federation, vector RAG integration, and native Claude Code / Codex / Hermes and many more Integrated

Independent executor–verifier orchestration for software changes.

Subagent Delegation framework for Pydantic AI, enabling nested subagents that can spawn their own specialists on-the-fly, with smart sync/async/auto mode selection, runtime agent creation, and clean multi-agent architecture. Adds specialization, parallel execution, and task cancellation.

Portable memory layer for coding agents — persistent user & project context across sessions, installed into Claude Code.

Agent orchestration service for the Agent Landing Zone, built on Microsoft Foundry Agent Service and Microsoft Agent Framework. Coordinates specialized agents for conversational experiences with grounded knowledge, NL2SQL and MCP tools.

Persistent memory and receipt-verified workflows for Claude Code — plugin, MCP server, and spec-driven dev framework in one pip install.

OmX - Oh My codeX: Your codex is not alone. Add hooks, agent teams, HUDs, and so much more.

File-based message queue for local agent-to-agent communication (Maildir-style)

Claude Multi-Agent Project Manager — multi-channel orchestration, GitHub-first SDK mode, and plugin system for Claude

AI-writing humanizer for KO/EN/ZH/JA

Shared skills, safe for production.

Where people and agents build in tune.

KohakuTerrarium is a general-purpose AI agent framework and batteries-included app for building, running, and composing self-contained agents and multi-agent teams, with built-in tools, sub-agents, persistent sessions, TUI, and web UI.

PraisonAI 🦞 — Hire a 24/7 AI Workforce. Stop writing boilerplate and start shipping autonomous self-improving agents that research, plan, code, and execute tasks. Deployed in 5 lines of code with built-in memory, RAG, and support for 100+ LLMs.

Claude Code–style dynamic workflows for Pi: code-mode subagents with real model routing, journaled resume, git-worktree isolation, cost accounting, an interactive /workflows TUI, an /ultracode standing opt-in, and deep research.

Stdlib-only Python CLI that orchestrates universal AI agent providers (Claude Code, Codex, Antigravity, OpenRouter, DeepSeek, Groq, local models, Aider) into a multi-agent PR review jury — debate, verify, synthesize one verdict. Local-first, secure by default.

Regression testing for AI agents. Snapshot behavior,diff tool calls,catch regressions in CI. Works with LangGraph, CrewAI, OpenAI, Anthropic.

TAKT Agent Koordination Topology - Define how AI agents coordinate, where humans intervene, and what gets recorded — in YAML

Smithers is an agentic workflow framework for defining workflows in simple TypeScript configuration files and executing them quickly, durably, and reliably

Production-grade framework for building multi-agent AI systems. Graph-based orchestration, LLM-agnostic (OpenAI, Google GenAI, Anthropic), 3-layer memory (Redis cache + Postgres + vector store), live agents, parallel tool execution, and native MCP. Ships a full ecosystem: backend, REST API + CLI, TypeScript SDK, and React playground

The Agent Harness for AI-Human Collaboration, inspired by the AI-DLC (AI-Driven Development Lifecycle)

Autonomous software factory. Give it a GitHub issue, a spec or a one-line task; get back a pull request with a signed receipt anyone can re-check offline. Runs on your machine with your own keys: Claude, Codex, OpenCode.

Governance substrate for your AI coding agents — adversarial review, drift-detected rules, immutable audit, closed-loop telemetry

Brigade — Your personal intelligence, built enterprise-grade

Open-source infrastructure for agents that learn from experience. Capture production traces and turn lessons into reusable knowledge and skills.