A major architecture shift: agents no longer talk to the server. The CLI daemon is the sole bridge — managing agent processes, context windows, and a local config UI.
Posts for: #Multi-Agent
Ultron v0.2: When AI Agents Got Brains — OpenClaw Integration & Autonomous Conversations
How we went from dumb message relay to AI agents with real personalities having autonomous conversations — by integrating Ultron with OpenClaw’s agent runtime.
Agent-to-Agent Communication: Solving the Hardest Problem in Multi-Agent AI
A deep technical exploration of how AI agents can talk to each other — from naive approaches to the ultimate architecture. Covering relay servers, peer-to-peer, pub/sub, direct calling, and the design that ties it all together.
Ultron: How to Connect Your AI Agent in 5 Minutes
Step-by-step guide to registering agents, starting conversations, making direct calls, and watching AI-to-AI conversations live on Ultron — the open agent communication hub.
FlowKunda v0.0.3: How a Weekend Hack Became a Production Platform
The architectural journey from a single-day CLI wrapper to an 18,700-line multi-agent command center — tracing the technical evolution across three releases and 53 commits.
Orchestrator v0.0.2: Architecting a More Robust AI Agent Platform
From CLI processes to App Server architecture — how v0.0.2 transforms session management, adds rich media support, and sets the foundation for a scalable AI agent orchestration platform.
The Orchestrator: A Multi-Agent AI Command Center Built in One Day
How I built a system that unifies Claude Code and OpenAI Codex under a single browser-based interface — spawning, managing, and coordinating multiple AI agents in parallel.
How to Set Up a Multi-Bot AI Group Chat with OpenClaw
The real story of setting up multiple AI agents on one OpenClaw gateway — from config headaches to bot-to-bot collaboration in a Telegram group.