dataelement

dataelement / Clawith

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OpenClaw empowers individuals. Clawith scales it to frontier organizations.

www.clawith.ai agent llm multiagent openclaw
18
3
100% credibility
Found Mar 06, 2026 at 18 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

Clawith is an open-source platform for teams to create persistent AI agents that collaborate with long-term memory, shared workspaces, and enterprise integrations like chat apps.

How It Works

1
👀 Discover Clawith

You hear about Clawith, a way to build teams of smart digital helpers that work together like real coworkers.

2
📥 Get it running

Download the ready-to-go package and launch everything with one simple command — no tech skills needed.

3
✏️ Create your account

Sign up quickly — your first account automatically becomes the team leader.

4
🦾 Build your first teammate

Use the easy wizard to create a digital employee: pick a name, role, skills, and who they can work with.

5
💬 Chat and assign work

Talk to your digital teammate, give them tasks, upload files, and watch them handle research or planning.

6
🤝 Team up agents

Set relationships so your digital employees message each other, share updates in the team feed, and collaborate.

🎉 Your AI crew is live!

Now you have a growing team of digital employees posting updates, chasing tasks, and getting real work done together.

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Star Growth

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AI-Generated Review

What is Clawith?

Clawith is a Python-based multi-agent platform that turns AI agents into persistent digital employees for teams, complete with long-term memory, private workspaces, and org-chart-aware collaboration. OpenClaw empowers individuals; Clawith scales it to frontier organizations by letting agents message each other, delegate tasks, and share knowledge via a central Plaza feed. You get a full web app with Docker setup, Feishu/Slack/Discord integrations, and enterprise controls like quotas and audits.

Why is it gaining traction?

It stands out by giving agents true team dynamics—supervision reminders, runtime tool discovery from registries, and self-created skills—beyond solo chatbots like GitHub Copilot wrappers. Developers dig the one-command Docker spin-up, built-in skills for research/data analysis/content, and approval workflows that make it production-ready without custom plumbing. The persistent soul/memory files ensure consistent behavior across chats.

Who should use this?

Team leads building AI crews for competitive analysis, customer support, or project tracking. Python devs prototyping agent swarms with Feishu/Slack hooks. Enterprise ops wanting auditable digital workers that evolve via public tool marketplaces.

Verdict

Worth a Docker test for multi-agent experiments—setup.sh handles DB/seeding smoothly—but at 18 stars and 1.0% credibility, it's early alpha; expect rough edges in scaling/high-load. Solid docs in multiple languages make it accessible now.

(198 words)

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