๐ 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
Tour de contrรดle locale en pixel art pour surveiller et piloter ses รฉquipes d'agents d'IA sous Herdr.
DeepTutor: Lifelong Personalized Tutoring. https://deeptutor.info/.
Teams-first Multi-agent orchestration for Claude Code
Persistent file-based planning for AI coding agents and long-running tasks. Crash-proof markdown plans, session recovery after /clear and compaction, per-turn re-injection against context rot, deterministic completion gate. Manus-style. Install from npm, the Claude Code plugin marketplace, or npx skills. Codex, Cursor, OpenCode, 60+ agents.
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
๐ฆ OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation
๐ซ CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
Eigent: The Open Source Cowork Desktop - Local and Free Alternative to Claude Cowork and Codex
An open-source, code-first Go toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
Build an agent harness and control it end-to-end. Open-source SDK for production AI agents in Python & TypeScript - any model, any cloud.
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Build your own network of agents from Claude Code, Codex and Pi: persistent teams with roles, shared context and owned work.
A trilingual (็นไธญ / English / ็ฎไธญ) learning roadmap for agentic AI: from LLM basics to multi-agent systems, with 240+ curated resources and hands-on examples. ไธญๆ AI agent ๅญธ็ฟๅฐๅใ
The Enterprise-Grade Multi-Agent Orchestration Framework. Website: https://swarms.ai
The Harness of Harnesses โข built for RSI: a trusted, persistent, self-evolving multi-agent ecosystem for all-domain collaboration.
๐๏ธ OASIS: Open Agent Social Interaction Simulations with One Million Agents.
Structured multi-perspective deliberation for hard decisions. Run full councils, focused triads, or duo debates across Claude Code, Codex, Gemini CLI, and OpenCode.
Koog is a JVM (Java and Kotlin) framework for building predictable, fault-tolerant and enterprise-ready AI agents across all platforms โ 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
Harness LLMs with Multi-Agent Programming
Sprix AI at ๅฑฟๆบๅ่ก โ state-aware SELF/COLLABORATE/HANDOFF routing for A2A agent networks.
Visible multi-agent CLI workspace for mixing Codex, Claude, Gemini, Kimi, Qwen, Cursor, Copilot, Pi, OpenCode, and other AI coding agents
A modular, stack-agnostic toolkit for AI coding agents to autonomously find, reproduce, and patch vulnerabilities.
An agentic company research tool powered by LangGraph and Tavily that conducts deep diligence on companies using a multi-agent framework. It leverages OpenRouter on the backend for rapid inference with any leading model.
You're the boss, agents are your team. They handle tasks on their own, message each other, and review each other's work. You just watch the kanban board and give high-level commands. Codex/Claude/OpenCode/Cursor/Grok/GitHub/Kiro/Z.AI/Xiaomi/MiniMax/Kimi(300+ models, 200+ LLM providers, free models no auth) Build your AI company with multiple teams
List of agent orchestrators
Official repository for EigenFlux โ the open-source communication and broadcast network for AI agents.
Nimbalyst - The open-source visual workspace for Claude Code, Codex, and OpenCode. Run multiple coding agents in parallel, edit their work visually in markdown, mockups, and diagrams, and track tasks. Free, MIT-licensed desktop app for macOS, Windows, Linux, with mobile companion for iOS and Android.
An open-source, code-first Java toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
A fast and lightweight framework for creating decentralized agents with ease.
Agent OS: keep specialist agents in a hub, spin up a temporary orchestrator per task. Local-first, works with any model.
Ouroboros โ self-creating AI agent. Born Feb 16, 2026.
Multi-agent orchestration for AI coding CLIs โ Claude Code, Kiro, Codex, and more, coordinated in isolated tmux sessions
An open-source, code-first Typescript toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
A set of tools that gives agents powerful capabilities.
Autoprompt is a coding-agent skill that cuts failures by 45% on agentic coding tasks.
A playground for neuro-san
Autonomous LLM Trading Asterism โ a research-only multi-agent trading platform with evidence-first research, an auditable console, Shadow simulation and explicitly authorized broker execution.
[NeurIPS 2026] Recursive Multi-Agent Systems
An open-source, PyTorch-like runtime for dynamic multi-agent and multi-session workflows.
Agent samples built using the Strands Agents SDK.
Your AI agent in 30 seconds. Not 30 hours. Self-hosted, open-source personal AI with desktop installer, multi-agent Command Center(Deep Work), and 7-layer security. Anthropic, OpenAI, or Ollama.
AI Agent Orchestrator with Skills System - Give AI Agents superpowers: memory search, code graph queries, agent-to-agent messaging. Manage Claude Code, Codex, Grok Build or any AI Agent from one dashboard. Move Agents between computers and locations
Multi-Agent + Automation Harness: Graph-based Workflows, MCP, Self-Improving Agents. NextJs+React
RAI is a vendor agnostic agentic framework for Physical AI robotics, utilizing ROS 2 tools to perform complex actions, defined scenarios, free interface execution, log summaries, voice interaction and more.
Plan, Build, and Ship โ with a team of AI agents instead of one
Meta Agents Research Environments is a comprehensive platform designed to evaluate AI agents in dynamic, realistic scenarios. Unlike static benchmarks, this platform introduces evolving environments where agents must adapt their strategies as new information becomes available, mirroring real-world challenges.
A Graph-Centric Framework for Orchestrating Multi-Agent Systems with Vibe Graphing.
The local-first operating system for building, running, and improving AI agents, workflows, and autonomous goals.
An Aspire reference architecture for cloud-native microservices and agentic AI with MCP, A2A & AG-UI
Caura (formerly MemClaw) โ governed shared memory for AI agent fleets. Multi-agent, multi-tenant, MCP-native. Trust tiers, keystone policies, audit trails, knowledge graph, self-improving retrieval. Apache 2.0.
Halofy is the open access and governance layer for AI agents across your organization. Identity, policy, provenance, audit, and signed erasure.
Open protocol for AI agent work contracts and verifiable execution โ authorization, evidence, and acceptance for multi-agent systems
Evolutionary multi-agent runtime that breeds, evaluates, and improves autonomous agents across reproducible epochs to converge on optimization of a goal.
Coordinate Claude, Codex and Cursor windows with shared tasks, acknowledgements, prechecks, parallel tests, source-bound proofs and independent review. Built-in skills recall lessons, simplify code and forecast work. Track progress, decisions and evidence in a bilingual local dashboard, with MCP plugins. Browse skills and verified security audits.
A multi-agent research system for the humanities and social sciences.
A persistent, reviewed multi-agent runtime for long-horizon research and engineering.
Autonomous multi-agent pentest framework โ plans, exploits, verifies (proof-required), CVSS-scores and writes client-ready reports. 104/104 (100%) on the XBOW validation benchmarks, powered by Kimi K3.