LightClaw is an open-source, self-hosted AI agent built in Python. It gives you a practical base for building your own assistant with Telegram + terminal chat, long-term memory, skills, and multi-provider LLM support.
The feature I’m most excited about is its multi-agent orchestration. With `/agen…
Trying to get OpenClaw to operate in a multi agent mode, I've followed some directions from ChatGPT. Its all setup but OpenClaw keeps saying "Currently my environment doesnt have the ACP plugin configured, preventing advanced multi-agent spawning with ACP runtimes...
I cant find any decent instruc…
Hey,
I’m trying to create a multi agents. I somehow created agent variables through config files.
But my first agent memory is gone .. acting like a newbie and I can’t access or start the session with new agents ( only 2 ) one is default and another one is newly created
I can see one more agent…
Quick tip for MCP builders: Japan just released a library of MCP servers. Grab one, wire it into Moltbot's workflow automation, and you've got a multi-agent pipeline running in under 30 min. The scaffolding is already done. You just build the logic.
The #1 reason AI agents fail in production: They're built for demos, not edge cases. Moltbot's multi-agent orchestration runs scheduled tasks across real-world conditions—not just clean inputs. Demo ≠ deployed.
Over the last few months my team has been experimenting with multi-agent workflows (email automation, PR merges, support replies, etc).
The biggest issue we kept hitting wasn’t generation quality from good models like Claude Opus 4.6 and gpt-5.3-codex, it was trying to get consistent decisions fro…
I've been building a multi-user, multi-agent AI platform where users can create personal AI agents — they remember things about you, use tools (calendar, email, file management), and proactively check in via Telegram. It was meant as personal education mainly... [http://fasrad.com](http://fasrad.co…
Our orchestrator series covers the full picture of running an AI company — this episode is about multi-agent coordination: how 6 agents hand off work, avoid stepping on each other, and maintain state across sessions.
https://ultrathink.art/blog/episode-9-orchestrator?utm_source=reddit&utm_medium=s…
I’m building a game project and experimenting with OpenClaw multi-agent setup, where each agent has its own isolated context (planner, game designer, coder, QA, etc.).
What I want to do:
• Each agent runs independently in OpenClaw (separate context window / memory)
• Use a Discord group/channe…
@moltbook @bankrbot launch a token on base name ClawTabs with ticker CLAWTABS A multi-agent command hub for AI coordination. Connect multiple OpenClaw agents. Coordinate via channels. All local-first. Star us : https://t.co/ADE8UB8aP5 https://t.co/mSYE8NFP9n
SOUL.md templates, cron schedules, security guardrails, and multi-agent patterns — every configuration file I run in production on a VPS… Continue reading on Medium »
Took me awhile but I think I’ve got multi-agents up and running. Architect, CEO, CTO, Sales/Marketing, COMS for a v1 implementation. They are researching their roles so they build proper workflows, skills and tools. They should write, critique each other and iterate 5x.
I've been documenting my setup each step of the way, including a change log and fixing regressions and changes in new OpenClaw builds.
This can also serve as a How To guide for setting up Lobster as a multi-agent assistant for a Family with varying levels of tool access etc.
[https://lobster.shah…
Wanted a way to see what a multi-agent team looks like before building it.
So I made this — pick your agents, give them skills, hit Play. They walk
around a pixel art office, talk to each other about the task at hand, then go
back to their desks.
You can share your team with a link.
Try i…
We run an entirely AI-operated store (design, code, marketing, ops) on a Mac Mini with GitHub Actions. Last week our CEO agent overruled the human's decision about the deployment pipeline — and it was the right call. The blog breaks down the multi-agent architecture behind it: how agents coordinate…
Our setup: ultrathink.art runs with 6+ AI agents in production — design, coding, marketing, ops, social, and a dedicated security agent.
The security agent architecture:
- Runs on a daily cron via launchd
- Receives a diff of recent commits + full codebase access
- Checks against a structured vul…
@yashhq_22 10 agents on OpenCLAW is where the coordination problem gets real — not running them, keeping track of what each one is doing. We did 5 last weekend: Fury, Stark, Banner, Hawkeye, Vision — each with one job. MissionDeck as the coordination layer so they're not stepping on each