multi-agent
AI-powered virtual executive team — a single coherent executive persona backed by 8 specialist Claude agents (FastAPI + Next.js).
An open source template for building cloud agents.
Spawn coding agents that run infinitely in the cloud. Powered by AI SDK, Gateway, Sandbox, and Workflow SDK.
Orchestrate AI agents to find real vulnerabilities in code.
An open-source, self-hosted security research platform that turns focused AI analysis into de-duplicated, ranked findings with configurable validation and enrichment.
Autonomous, multi-agent AI research — a PhD's workflow on a single-GPU budget.
An autonomous AI scientist: a multi-agent loop over literature, experiments, self-critique and write-up, with deterministic guards against reward-hacking and hallucination.
ScholarLoop runs the loop a PhD actually runs: it reads the literature, forms a grounded hypothesis, runs real ML experiments, scores them against a frozen ground-truth metric, learns from its failures, and drafts a peer-reviewed write-up — autonomously, with a deterministic harness that keeps the agents honest and impossible to reward-hack.
OpenShell is the safe, private runtime for autonomous AI agents.
NVIDIA OpenShell is an open-source runtime for executing fleets of autonomous AI agents in sandboxed environments with kernel-level isolation. It combines sandbox runtime controls and a declarative YAML policy so teams can run agents without giving them unrestricted access to local files, credentials, and external networks.
Build your agent team in OpenClaw with one command.
You don't need to hire a dev team. You need to define one. Antfarm gives you a team of specialized AI agents — planner, developer, verifier, tester, reviewer — that work together in reliable, repeatable workflows. One install. Zero infrastructure.
Related contents:
One window — every project, every agent.
Silo — for developers juggling coding agents across many projects. Every workspace alive at once, switch instantly. 100% open source, free forever.
Personal tutoring, reimagined.
Agent-native Learning Companion that grows with you. Fully Open-Sourced.
Teams-first Multi-agent orchestration for Claude Code. A weapon, not a tool.
Multi-AI orchestration plugin for Claude Code. Coordinate Claude, Gemini, and Codex with 19 specialized agents, 28 skills, and MCP-powered tools.
Multi-Agent Orchestration for AI Agents. An AI agent swarm that compounds daily.
Build an agent swarm for Claude Code and AI agents: a lead coordinates tasks, workers ship in their own containers, memory compounds with every run. Interact as you do with your remote colleagues.
The Collaboration Layer For AI Agents
One live, auditable state, shared by every agent working together.
When an agent and a person change the same thing at once, work gets lost: one edit silently clobbers another, or the agent acts on data that already moved. Ablo gives them one shared, typed write path so people, server actions, and agents can all work on the same rows without working blind.
Multi-LLM orchestration plugin for Claude Code — 8 providers (Codex, Gemini, Claude, Perplexity, OpenRouter, Copilot, Qwen, Ollama), 47 commands, 50 skills, Double Diamond workflows .
Multi-LLM orchestration plugin for Claude Code — coordinates Codex, Gemini, Perplexity, OpenRouter, Copilot, Qwen, and Ollama with consensus gates. Eight tentacles, zero blind spots.
Related contents:
Open Agent Harness.
OpenHarness delivers core lightweight agent infrastructure: tool-use, skills, memory, and multi-agent coordination.
Related contents:
CLI Code Agent Orchestrator. Autonomous AI agent orchestrator powered by Claude Code CLI.
OpenSwarm orchestrates multiple Claude Code instances as autonomous agents. It picks up Linear issues, runs Worker/Reviewer pair pipelines to produce code changes, reports progress to Discord, and retains long-term memory via LanceDB vector embeddings.
Ghost in your shell. Ante is a self-contained agent harness with a highly optimized core. It works like Claude Code or Codex, with none of their dependencies or model constraints.
Ante is designed for cellular-native agents: like cells in an organism, tiny, expendable, massively replicated.
Run multiple agents in parallel — each in its own container, with its own workspace, collaborating on your code or project files simultaneously.
Scion is an experimental multi-agent orchestration testbed designed to manage "deep agents" running in containers.
Agent harness to run an office of your clones. local multi-agent harness.
Free, open source and performant — a multi-agent harness that works with the subscriptions you already pay for, on their hourly limits. It turns the terminal coding CLI you already run into a clone of you, one that keeps working while you're away and coordinates a whole office of agents on your own machine.
Wraps Claude Code, Antigravity (Gemini), OpenAI Codex, xAI Grok, Kimi Code, Qwen, OpenCode, Crush, pi.dev, and GitHub Copilot CLI — with bring-your-own keys and local LLMs. Agents that message, route, and remember, coordinated by your clone (Michael) and visualized as avatars at work on a shared office floor.
autonomous red teaming platform; multi-agent offensive-security meta-harness.
A multi-agent offensive-security framework, built to turn the AI coding agent you already run into a zero-day hunter.
Agent teammates that grow with you.
The ultimate space for work and life — to find, build, and collaborate with agent teammates that grow with you. We are taking agent harness to the next level — enabling multi-agent collaboration, effortless agent team design, and introducing agents as the unit of work interaction.
Related contents:
filesystem for AI coding agents. Ephemeral Workspaces, durable shared history.
LayerFS is the substrate under your agents. Each one mounts a complete, writable Workspace over shared committed history, does its work, commits what it changed, and goes away.
LayerFS gives every agent a complete, writable filesystem Workspace over shared committed history, without copying the base. Agents work in parallel, commit what changed as deduplicated checkpoints, then branch, rewind or merge. Try it with LayerFS × DSH.
Run a team of coding agents.
The open-source AI IDE for Claude Code, Codex, OpenCode, and more. Run agents in parallel, locally or in the cloud, and build reusable workflows.
Mission Control: Take Control of your Projects. Agents that Ship.
A focused desktop surface for launching, organizing, and repeating the agentic workflows that help you ship software faster.
Related contents:
Open reimplementation of Sakana Fugu — the 'one model to command them all' LLM orchestrator. Read → run → train → serve.
An open, runnable reverse-engineering of Sakana AI's Fugu — the "one model to command them all" LLM orchestrator.
Fugu is sold as a single model; it is really a policy over models — a tiny coordinator that, per query, routes work to a pool of frontier LLMs and returns one answer. Sakana's product and trained weights are closed. OpenFugu rebuilds the mechanism from the two papers + released artifacts, verifies it against real weights, trains a Conductor of our own, and serves it behind one OpenAI-compatible endpoint. Four stages, all working: read → run → train → serve.
One terminal. The whole herd.
Herdr is an agent runtime that runs inside your terminal. Keep your shell, SSH setup, fonts, and keybinds; add tmux-style persistence, mouse-native panes, blocked, working, and done agent state, and an API agents can drive.
Related contents:
Local-First AI Agent Workspace.
A local-first Agent workspace built for real work. Maka inspects projects, runs tools under a sandbox boundary, and records model messages and tool calls as recoverable execution facts — on your machine, through one Runtime Host.
Autoresearch on your machine
Start the local dashboard, then give each research direction its own agent. They work in parallel, in isolated worktrees, using your existing tools and compute.
To spin up remote compute while doing Autoresearch, use OpenResearch's compute marketplace, which aggregates offerings from multiple providers.
Run your agents on a canvas.
nodeterm turns terminals and coding agents into live nodes on an infinite canvas. Watch Claude, Codex & Gemini work in parallel, wire them together, and never lose a session to a reboot.
Before I go to bed, I tell my agents: good night, have fun.
gnhf is a ralph, autoresearch-style orchestrator that keeps your agents running while you sleep — each iteration makes one small, committed, documented change towards an objective. You wake up to a branch full of clean work and a log of everything that happened.
Related contents:
Talk to one agent. Build with a whole team. Multi-agent harness that runs Claude Code and Codex together as one system.
Bring your ideas and feedback to a lead agent. It delegates to specialists, tracks their work and brings answers back to you. OpenRig lets Claude Code, Codex and Pi work together on projects that take weeks or months.
: Run OpenClaw on a $5 chip. No OS(Linux). No Node.js. No Mac mini. No Raspberry Pi. No VPS.😗Local-first memory. Shareable. Portable. Privacy-first. Smarter than PicoClaw.
MimiClaw turns a tiny ESP32-S3 board into a personal AI assistant. Plug it into USB power, connect to WiFi, and talk to it through Telegram — it handles any task you throw at it and evolves over time with local memory — all on a chip the size of a thumb.
Run beloved agents side by side. Multitask with agents, stay in control.
JetBrains Air is the Agentic Development Environment where Codex, Claude Agent, Gemini CLI, and Junie execute independent task loops without interfering with each other.
Slack for AI employees with a shared brain. Get Claudes, Codexes and OpenClaws to collaborate and do your work autonomously while never losing context.
A collaborative office of AI employees that execute your playbooks, and get better at it everyday.
Talk to one agent. Ship with a crew.
You can run one coding agent easily. But the moment you want three project tasks done in parallel - fixes, investigations, plans, audits - you become a tab-juggler: babysitting sessions, copy-pasting context between repos, forgetting which terminal had the failing test.
firstmate flips the model. You talk to a single agent - the first mate - and it runs the crew for you: spawning autonomous agents in tmux windows, giving each a clean git worktree, supervising them to completion, and handing you finished PRs, approved local merges, or standalone investigation reports. For larger fleets, you can opt in to persistent secondmates: domain supervisors that are still ordinary direct reports, but run from their own isolated firstmate homes. There is no app to install; the orchestrator is AGENTS.md, bundled skills, and helper scripts that any terminal coding agent can follow.
Related contents:
Multi-agent orchestrator for Claude Code. Track work with convoys; sling to agents.
Related contents:
- Welcome to Gas Town @ Steve Yegge's Medium.
- Gas Town Decoded @ Andrew Lilley Brinker.
- How to think about Gas Town @ Steve Klabnik.
- Agent Psychosis: Are We Going Insane? @ Armin Ronacher's Thoughts and Writings.
- Gas Town’s Agent Patterns, Design Bottlenecks, and Vibecoding at Scale @ Maggie Appleton.
- Move Over Gas Town, Claude Has First-Party Agent Orchestration @ Andrew Lilley Brinker.
Task tracking for Agents.
Persistent memory for complex, multi-session work.
Related contents:
A framework for building AI agents and applications.
AutoGen is a framework for creating multi-agent AI applications that can act autonomously or work alongside humans.
Related contents:
Why tell Claude what to do when you can tell Claude to tell Claude what to do?
Multiple Claude Code agents. One repo. Controlled chaos.
multiclaude spawns autonomous Claude Code instances that coordinate, compete, and collaborate on your codebase. Each agent gets its own tmux window and git worktree. You watch. They work. PRs appear.
Your repo gets better while you sleep. Nightly agent jobs and PR review for any repo.
Nightshift is a helper that works at night.
It wakes up your coding agent. It gives the agent one small job. The agent looks at your code and does the job. If it finds something worth fixing, it opens a pull request for you to look at. Then it moves to the next job.
Symphony turns project work into isolated, autonomous implementation runs, allowing teams to manage work instead of supervising coding agents.
Related contents:
Multi-agent AI orchestration for Claude Code.
Orchestrate 100+ specialized AI agents across machines, teams, and trust boundaries. Ruflo adds coordinated swarms, self-learning memory, federated comms, and enterprise security to Claude Code — so agents don't just run, they collaborate.
🌊 The leading agent orchestration platform for Claude. Deploy intelligent multi-agent swarms, coordinate autonomous workflows, and build conversational AI systems. Features enterprise-grade architecture, self-learning swarm intelligence, RAG integration, and native Claude Code / Codex Integration
Run a team of coding agents on your Mac.
Create parallel Codex + Claude Code agents in isolated workspaces. See at a glance what they're working on, then review and merge their changes.
Related contents:
A local-first inbox for long-running AI agents, built with DeepAgents and LangGraph.
Pizza Bot is an inbox for long-running AI work. Start or schedule a task, return to your day, and let completed work collect in Unread while runs waiting for your decision collect in Action. Agents keep working when you navigate away or disconnect; the api-server process must remain running.
Control your coding agents (Claude Code, Codex, Cursor, Grok, Hermes, Pi) locally by default, with optional multi-device sync.
Every device runs a small engine that stores sessions on that device. A new installation starts in local-only mode without an account or a network connection.
AI-Native Task Management.
Multica is an open-source platform that turns coding agents into real teammates. Assign tasks, track progress, compound skills — manage your human + agent workforce in one place.
Related contents:
task orchestration for coding agents. One goal. An ordered plan of agent tasks. Every runner, model and effort visible before you spend a token.
The planner reads your repo, asks about whatever you left vague, and hands back tasks you can rewrite — prompts, models, modes, dependencies, all of it. Then it runs one real coding-agent session per task, and completes a task only when that task's marker shows up in the output.
Multi-agent task orchestration for coding agents. Turn one goal into an ordered plan of tasks — each with its own runner, model and mode — then execute and verify the results.
OpenPoke is a simplified, open-source take on Interaction Company’s Poke assistant—built to show how a multi-agent orchestration stack can feel genuinely useful. It keeps the handful of things Poke is great at (email triage, reminders, and persistent agents) while staying easy to spin up locally.
Related contents:
Master Claude Code in a Weekend
Go from typing claude to orchestrating agents, hooks, skills, and MCP servers — with visual tutorials, copy‑paste templates, and a guided learning path.
The app people use to manage AI agents for work.
Open-source orchestration for teams of AI agents.
If OpenClaw is an employee, Paperclip is the company.
Paperclip is a Node.js server and React UI that orchestrates a team of AI agents to run a business. Bring your own agents, assign goals, and track work and costs from one dashboard.
An Open-Source Asynchronous Coding Agent. Open-source framework for building your org's internal coding agent.
Elite engineering orgs like Stripe, Ramp, and Coinbase are building their own internal coding agents — Slackbots, CLIs, and web apps that meet engineers where they already work. These agents are connected to internal systems with the right context, permissioning, and safety boundaries to operate with minimal human oversight.
Open SWE is the open-source version of this pattern. Built on LangGraph and Deep Agents, it gives you the same architecture those companies built internally: cloud sandboxes, Slack and Linear invocation, subagent orchestration, and automatic PR creation — ready to customize for your own codebase and workflows.
Related contents:
Let Your Whole Team Ship Code. An open framework for background coding agents.
From code to tests to merged PR—automatically. Kick off a session at midnight, review the PR over breakfast.
The local merge queue for parallel Claude Code agents.
The local, zero-cost merge queue for parallel Claude Code agents. Several agents land, build, and test at the same time — this serializes it so push races, redundant heavy builds, and shared-resource test flakiness can't happen.
Terminal UI to manage AI coding-agent sessions (Claude Code, OpenCode, Codex, Grok Build) in tmux: live status, group tree, live pane preview, resource gauges.
The batteries-included agent harness.
The easiest way to start building agents and applications powered by LLMs—with built-in capabilities for task planning, file systems for context management, subagent-spawning, and long-term memory. You can use deep agents for any task, including complex, multi-step tasks.
Agent harness built with LangChain and LangGraph. Equipped with a planning tool, a filesystem backend, and the ability to spawn subagents - well-equipped to handle complex agentic tasks.
Deep Agents is an agent harness. An opinionated, ready-to-run agent out of the box. Instead of wiring up prompts, tools, and context management yourself, you get a working agent immediately and customize what you need.
Related contents:
Cozy Office for Claude Code.
Outworked is a desktop app that turns Claude into a team of AI employees. Hire agents. Give them roles. Watch them write code, interact with the web, send messages, and run scheduled tasks — all from an office on your Mac.
Claude Code orchestrator in one window.
Orchestrate multiple Claude Code sessions across projects. Review diffs, annotate code, send instructions — all from one window.
Related contents:
Contracts before code. Tests as law. Agents that can't cheat.
Pact is a multi-agent software engineering framework where the architecture is decided before a single line of implementation is written. Tasks are decomposed into components, each component gets a typed interface contract, and each contract gets executable tests. Only then do agents implement -- independently, in parallel, even competitively -- with no way to ship code that doesn't honor its contract. Generates Python, TypeScript, or JavaScript.
The open-source alternative to Claude Managed Agents.
The open-source managed agent platform. A self-hostable alternative to Claude Managed Agents and OpenAI's Agents API.
Omnara is an open-source managed agent platform. Use the API to run AI agents on any model and any machine, with tools, secrets, permissions, and streaming built in. Self-host it for free under Apache 2.0, or use Omnara Cloud.
Bring any AI model into your terminal.
A fully decentralized fork of Warp. Six native AI protocols, third-party CLI agents as first-class Blocks, a built-in SSH + tmux host manager. Every credential, conversation and key stays on your machine.
Fast, small, and fully autonomous AI assistant infrastructure — deploy anywhere, swap anything 🦀
Zero overhead. Zero compromise. 100% Rust. 100% Agnostic. ⚡️ Runs on $10 hardware with <5MB RAM: That's 99% less memory than OpenClaw and 98% cheaper than a Mac mini!
Craft Agents is a tool we built so that we (at craft.do) can work effectively with agents. It enables intuitive multitasking, no-fluff connection to any API or Service, sharing sessions, and a more document (vs code) centric workflow - in a beautiful and fluid UI.
It uses the Claude Agent SDK and the Pi SDK side by side—building on what we found great and improving areas where we've desired improvements.