# multi-agent

Open-source personal AI agent for messaging apps

OpenClaw is a free, open-source AI agent framework that turns any LLM into an autonomous personal assistant accessible through messaging apps like WhatsApp, Telegram, Discord, and Signal. Running entirely on your local machine via a Node.js gateway, it connects AI models to system tools, browsers, files, and APIs for multi-step task execution with persistent memory across sessions.

Multi-agent AI coding platform with orchestrated specialist agents

Zencoder is an AI coding platform that uses multi-agent orchestration to handle complex development tasks. Specialist agents collaborate on different aspects of implementation including code generation, testing, documentation, and review. Integrates with VS Code and JetBrains IDEs. Features repository-aware context that understands project architecture and coding standards.

Desktop app for running AI coding agents in parallel

Baton is a desktop application for orchestrating multiple AI coding agents — Claude Code, Codex CLI, OpenCode, Gemini CLI — simultaneously in isolated git worktrees. Each agent gets its own branch to prevent merge conflicts, with a Monaco diff viewer for reviewing changes, automatic PR creation, and an MCP server that lets agents spawn sub-agents for complex tasks.

Multi-agent orchestration plugin for Claude Code

Oh My ClaudeCode (OMC) is a plugin for Claude Code that adds multi-agent orchestration with 32 specialized agents, smart model routing between Haiku and Opus, and five execution modes including fully autonomous Autopilot and parallel Ultrapilot. It provides 40+ skills, a real-time HUD statusline, and lifecycle hooks — transforming Claude Code into a coordinated AI development team with zero configuration required.

BEAM/Elixir-native framework for durable multi-agent systems

Jido is an Elixir-native AI agent framework that leverages the BEAM virtual machine's concurrency and fault-tolerance for building durable, distributed multi-agent systems. It provides primitives for agent lifecycle management, skill composition, and message-based coordination. Designed for teams running Elixir in production who need agent capabilities. Apache-2.0 with 1,600+ GitHub stars.

Open-source AI coworker with persistent memory and tool use

Rowboat is an open-source AI coworker platform that provides persistent memory, tool use, and multi-agent orchestration in a chat-based interface. It enables teams to build AI assistants that remember context across sessions, access internal tools and databases, and coordinate specialized sub-agents for complex workflows. Over 9,300 GitHub stars.

Multi-agent orchestration with 10+ swarm patterns

Swarms is an enterprise-grade multi-agent orchestration framework with 6,100+ GitHub stars that provides 10+ swarm patterns including sequential, concurrent, hierarchical, mixture-of-agents, and graph-based workflows. The SwarmRouter lets teams switch between orchestration strategies by changing a single parameter. It supports MCP for tool integration, multi-model providers via Anthropic, OpenAI, and local models, and includes an AutoSwarmBuilder that generates agents from task descriptions.

No-code platform for building AI agent workforces

Relevance AI is a no-code platform from Sydney, Australia for building and deploying AI agent workforces that execute business workflows autonomously. Backed by a $24M Series B led by Bessemer Venture Partners, it offers 9,000+ integrations, a visual agent builder, a marketplace of pre-built agents, and multi-model support across OpenAI, Anthropic, and AWS Bedrock. Agents handle sales development, lead research, meeting prep, onboarding, and support workflows.

Multi-agent programming framework inspired by the Actor model

Langroid is a lightweight Python framework from CMU and UW-Madison researchers for building LLM applications using a multi-agent programming paradigm inspired by the Actor Framework. Agents are first-class citizens that encapsulate LLM state, vector stores, and tools, then collaborate via message passing through hierarchical task delegation. With 3,900+ GitHub stars, Langroid works with any LLM provider and does not depend on LangChain or other frameworks.

Build AI agents like LEGO — modular and predictable

Atomic Agents is a lightweight Python framework by BrainBlend AI that applies Atomic Design principles to AI agent development. Each component — agents, tools, context providers — is a single-purpose, reusable building block with Pydantic-enforced input/output schemas for type safety. Built on Instructor for structured LLM outputs, it prioritizes predictability and developer control over the autonomous-but-unpredictable behavior of larger frameworks like LangChain or CrewAI.

Multi-agent framework for finding scaling laws of agents

CAMEL-AI is an open-source multi-agent framework with 16,500+ GitHub stars, built by a research community of over 100 researchers focused on finding the scaling laws of agents. It supports role-playing agent societies, synthetic data generation pipelines, large-scale social simulations with up to 1M agents via the OASIS platform, and real-world task automation through the OWL project accepted at NeurIPS 2025. CAMEL works with OpenAI, Anthropic, Gemini, Mistral, and local models.

Multi-agent coordination framework

A framework for coordinating multiple AI agents working together on complex development tasks. Defines agent roles, communication patterns, task delegation strategies, and inter-agent workflows to break down large projects into manageable, parallel workstreams handled by specialized agents. Ideal for teams experimenting with multi-agent architectures where different AI models handle distinct aspects of software development.

Open-source dashboard for AI agent orchestration

An open-source dashboard for managing AI agent fleets. Dispatch tasks, monitor progress, and orchestrate multiple agents working in parallel on your codebase. Provides real-time visibility into agent activity, error tracking, and resource allocation so teams can scale autonomous coding workflows with confidence.

Multi-agent CLI pair programmer with FORGE, MUSE, and SAGE agents

Model-agnostic terminal coding tool with 3 specialized agents: FORGE for code editing, MUSE for planning and review, and SAGE for research. Supports 100+ LLM providers with local-first privacy and conversational Git integration. Apache 2.0 licensed. A thoughtfully designed multi-agent approach that separates concerns between coding, thinking, and information gathering for more reliable results.

Run Claude Code, Codex, and Gemini agents in parallel with isolated branches

Open-source desktop app for orchestrating multiple AI coding agents simultaneously. Auto-creates git worktrees per agent and symlinks shared dependencies to prevent conflicts between parallel tasks. Designed for teams and power users who want to run several AI agents on different features or bugs at the same time, maximizing throughput while keeping each agent's changes cleanly isolated.

Open-source agentic development environment for parallel AI agents

Cross-platform desktop wrapper that adds project management and visual controls to Claude Code's terminal interface. Organize multiple Claude Code sessions by project, track conversation history visually, and switch between tasks without losing context. Bridges the gap between Claude Code's powerful CLI and the visual project organization that many developers prefer for managing multiple concurrent workstreams.

Run a team of AI coding agents in parallel on your Mac

Web-based dashboard for monitoring and managing multiple AI coding agent sessions. Provides real-time visibility into what each agent is doing, resource consumption, and task progress across your team. Centralizes agent management so team leads can assign work, review outputs, and track productivity across multiple concurrent AI-assisted development workflows from a single interface.

Multi-agent AI coding platform

Autonomous AI coding agent that works in your terminal alongside your existing tools. Handles complex multi-step development tasks including writing code, running tests, debugging errors, and committing changes. Designed for developers who want an AI that can independently complete coding tasks with minimal hand-holding while respecting your project conventions.

Agent Development Kit by Google

Google's open-source framework for building AI agents with Gemini models. Supports multi-agent orchestration, tool use, and deployment to Vertex AI or Cloud Run. Provides a structured approach to agent development with built-in evaluation, testing, and monitoring capabilities, making it the official path for teams building agent systems within the Google Cloud ecosystem.

Official Python SDK for OpenAI agents

OpenAI's Python framework for building multi-agent AI applications with GPT models. Provides primitives for creating agents with tool calling, handoffs between specialized agents, guardrails for input/output validation, and tracing for observability. Supports building complex workflows where agents collaborate on tasks. Includes built-in tools for file search, code execution, and web browsing. Designed for production agent systems with structured output and error recovery patterns.

Next-gen multi-agent framework (AutoGen fork)

OpenAI's AI coding agent that works autonomously in a cloud sandbox. Handles multi-step development tasks including writing features, fixing bugs, and running tests. Integrates with GitHub for PR creation and review. Targets teams who want to delegate entire development tasks to AI rather than using it as an inline code completion assistant.

Microsoft's conversational multi-agent framework

LLM orchestration framework for building retrieval-augmented generation, agents, and multi-step AI pipelines. Focuses on composable data connectors, indexing strategies, and query engines. Particularly strong at structured data retrieval and document understanding, making it the preferred choice for teams building knowledge-intensive AI applications that need to reason over large document collections.

Open-source autonomous agent with persistent memory by Nous Research

Open-source TypeScript toolkit by Vercel for building AI-powered applications. Provides React hooks and streaming utilities for chat interfaces, with support for multiple LLM providers. The go-to choice for Next.js developers adding AI features to web apps, offering server-side streaming, structured output parsing, and tool calling with minimal boilerplate code.

Terminal-native coding agent by Mistral AI

AI-native vector database designed for billion-scale similarity search. Built by the team behind Apache Lucene with support for hybrid search, multi-tenancy, and real-time indexing. Combines vector search with traditional keyword search in a single query, making it powerful for RAG applications that need both semantic understanding and precise keyword matching.