Clawith is an open-source multi-agent collaboration platform implemented in Python, with Docker-based deployment options and a Quick Start setup that includes local PostgreSQL or automatic local database startup. Latest releases focus on runtime safeguards, group creation improvements, and startup/upgrade fixes.
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What it is
Clawith is an open-source multi-agent collaboration platform. It provides each AI agent with persistent identity, memory, and its own workspace, enabling multiple agents to collaborate within groups and with humans. The project describes features such as a memory/workspace per agent, group and session management, RBAC, and integrations for external tools and channels.
How it works
Clawith comprises a frontend (React) and a backend (FastAPI) with 18 API modules, WebSocket support, JWT/RBAC authentication, and tools/skills engines. It supports multiple storage backends (SQLite or PostgreSQL) and uses Redis, Alembic migrations, and an MCP client for external API connectivity. Agent data is stored under backend/agent_data on the host and mounted into containers for persistence. The architecture includes a Docker-based deployment path and a local setup script to initialize environment, database, and services.
Getting started
Prerequisites include Python 3.12+, Node.js 20+, PostgreSQL 15+ (or SQLite for testing), and hardware specs depending on desired scale. Quick Start provides a one-command setup:
git clone https://github.com/dataelement/Clawith.git
cd Clawith
bash setup.sh # Production: installs runtime dependencies only (~1 min)
bash setup.sh --dev # Development: also installs pytest and test tools (~3 min)
This creates .env, sets up PostgreSQL (local or existing), installs backend/frontend dependencies, creates database tables with seed data, and then you can start with:
bash restart.sh
# → Frontend: http://localhost:3008
# → Backend: http://localhost:8008
A Docker path is also provided:
git clone https://github.com/dataelement/Clawith.git
cd Clawith && cp .env.example .env
docker compose up -d
# → http://localhost:3008
Recent releases
Latest releases include:
- v1.11.3 (2026-07-28): Runtime safeguards and stability improvements
- v1.11.2 (2026-07-23): Group creation enhancements and runtime reliability
- v1.11.1 (2026-07-18): Runtime startup and upgrade fixes
- v1.11.0 (2026-07-17): Group collaboration, shared knowledge, and durable agent runtime improvements
- v1.10.3 (2026-06-15): Agent-to-Agent messaging session consistency
Each release lists a short description of core features; the README sections labeled "What’s New" and the specific features are included above.
Traction
Stars: 4110 Forks: 684 Open issues: 243
Behind the repo
Not applicable
Caveats
License: Apache-2.0 Created: 2026-03-03 Last push: 2026-08-04 Languages: Python Topics: agent, llm, multiagent, openclaw