multi-agent

OpenRig is a local control plane for multi-agent coding topologies. It uses a YAML-based rig spec to boot, inspect, snapshot, restore, and visualize agent fleets, with examples like product teams, adversarial review, research clusters, and secrets management.

Open-source runtime for multi-agent AI systems with job scheduling, DAG orchestration, shared memory, tool execution, and real-time observability.

Slashspace is a local-first infinite canvas for AI chat and agentic work, designed for research, writing, development, and long-form thinking. It supports multiple models, MCP connections, local storage, and desktop apps for Mac, Windows, and Linux.

OpenWorkers is a thesis-focused research assistant that searches literature, verifies citations, critiques ideas, and produces structured research support without writing the prose for the student.

Open-source voice-driven multi-agent assistant for building real projects on a Mac, with voice, web chat, and WhatsApp channels plus CLI-based task runners.

SwarmWright is a self-hosted multi-agent AI orchestration platform for designing, running, and inspecting swarms of agents from markdown and config. The page highlights Docker-based setup, topology-enforced agent graphs, human approval steps, local storage, and detailed audit logs.

A cross-platform agent skills repository for consensus-based R&D and repo automation. It describes a multi-agent loop that generates independent plans, converges through a meta-judge, and supports platforms like Claude Code, Codex, Cursor, and Gemini.

Open-source Go runtime for autonomous multi-agent systems. Swarm models work as durable state machines, persists state, supports replay/fork, and integrates with multiple LLM backends.

A Claude Code skill for multi-agent code review that produces findings.md with severity, impact category, verification artifacts, and fix directions.

A file-based protocol and CLI for coordinating multiple AI agents across runtimes, with typed messages, review loops, and shared memory on the local filesystem.

Open-sourced local multi-agent OS that runs three agents on consumer hardware, lets them form goals from environmental pressure, and supports self-modifying workflows through tool creation and change requests.

A session manager for AI coding agents that lets developers run and monitor multiple agents in parallel from a TUI or web dashboard. It supports several agent frameworks, uses git worktrees and optional Docker sandboxes, and includes remote phone access plus PWA-style web use.

Herd is a lightweight desktop IDE for coordinating multiple AI coding agents at once. It supports parallel tasks, real-time status monitoring, and works with tools like Claude Code and Codex on Windows, macOS, and Linux.

A Java framework for building stateful multi-agent workflows on top of Spring AI, with graphs, routing, retries, checkpoints, and shared state.

Peers is a Python-based multi-agent coding substrate that coordinates Claude Code, Codex, and other CLIs to work together on coding, research, debugging, and repo audits with measurable convergence checks.

Cast is an open-source, self-hosted harness for multi-user Claude agents. It focuses on routing, identity, and access control outside the prompt, with support for agent building, review flows, and extensions like email, calendar, web fetch, and WhatsApp.

Smriti is an open-source system for shared reasoning state across coding agents like Claude Code and Codex. It treats project reasoning like version-controlled state, with local setup, a CLI, backend, and frontend for coordinating multiple agents on the same repo.

A Python-based coordination protocol and daemon for running multiple LLM sessions in parallel with shared awareness, aimed at Claude Code and other Anthropic-compatible models.

arXiv paper describing AVA, a GenAI platform for policy and development research built on 4,000+ World Bank reports. The abstract highlights multilingual support, evidence-based synthesis, citation verifiability, and reasoned abstention when queries cannot be supported.

Agora-1 is a multi-agent world model from Odyssey that simulates shared real-time environments for up to four participants, human or AI, with a focus on gaming, robotics, reinforcement learning, and foundation model research.

An open-source multi-agent coding framework that uses a commit-bound project graph to scope worker tasks, replay failed runs, and merge accepted diffs through ordered Git reconciliation.

A research preprint describing ADHD, a parallel divergent ideation method for LLM coding agents that isolates branches, uses cognitive frames, and then prunes with a separate critic pass.

Gravity AI is a Go-based multi-agent consensus harness that coordinates AI agents through Raft-backed task state, proposal voting, and reputation updates.