jiweil

jiweil / multi-agent-openclaw

Public

run openclaw in the multi-agent setup

20
0
100% credibility
Found Mar 13, 2026 at 20 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

Multi-Agent OpenClaw provides a chat-based web interface to design, refine, and simulate dynamic interactions among multiple AI agents over specified rounds of conversation.

How It Works

1
🕵️ Discover the tool

You find Multi-Agent OpenClaw online, a fun way to create and watch AI characters interact in team scenarios you dream up.

2
📥 Get it on your computer

Download the files and follow easy steps to prepare everything so it's ready to play with.

3
🔗 Connect a smart thinker

Link it to an AI service like Claude or ChatGPT so the characters can have real thoughts and conversations.

4
🌐 Open the friendly page

Start the web interface in your browser and see a welcoming chat screen.

5
💭 Describe your story

Type a natural idea like a VC pitch battle or Mars debate, and it instantly suggests a team of characters with goals and interaction rounds.

6
👥 Tweak the team plan

Chat back and forth to refine the characters' roles, goals, or number of discussion rounds until it feels perfect.

7
▶️ Watch them come alive

Hit play to run the simulation live, seeing each character react turn-by-turn to others in real time.

🎉 Relive the magic

Review the full dramatic conversation history, saved forever, and start new adventures anytime.

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Star Growth

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AI-Generated Review

What is multi-agent-openclaw?

Multi-agent OpenClaw is a TypeScript setup to run OpenClaw in a multi-agent environment, where you describe scenarios like VC debates or Twitter beefs in chat, and it auto-generates agent teams with goals that interact over configurable rounds. Agents react dynamically to full transcripts using any LLM—Anthropic, OpenAI, local Ollama, or compatibles—via a WebSocket-powered UI for planning, live execution views (by agent/round/step), stop/resume, and run history. It delivers emergent drama without scripts, perfect for local runs of complex agent workflows.

Why is it gaining traction?

Stands out with conversational planning that refines multi-agent setups on-the-fly, broad LLM support for cheap/local runs (no vendor lock-in), and real-time UI that visualizes turns without CLI squinting. Developers dig the quick npm setup—server for API/WebSocket, Vite dev UI—and fun examples that hook you into prototyping fast. Unlike rigid orchestrators, agents adapt organically, making simulations feel alive.

Who should use this?

AI experimenters simulating debates, negotiations, or social dynamics; LLM devs testing multi-agent coordination locally before scaling; OpenClaw users wanting a UI layer for team-based runs without Docker hassles.

Verdict

Promising for OpenClaw fans needing multi-agent orchestration, with solid docs and MIT license, but at 16 stars and 1.0% credibility, it's early-stage—prototype with it, but expect tweaks for production. Worth forking if local agent sims are your jam.

(198 words)

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