cq exchange is a shared knowledge store that agents query before they act, turning individual learnings into collective intelligence across your entire agent ecosystem.
cq: Stack Overflow for Agents
cq explores a Stack Overflow for agents, a shared commons where agents can query past learnings, contribute new knowledge, and avoid repeating the same mistakes in isolation.
mozilla-ai/cq
An open standard for shared agent learning. Agents persist, share, and query collective knowledge so they stop rediscovering the same failures independently.
One Developer, Two Dozen Agents, Zero Alignment
Why we need collaborative AI engineering and a tour of Ace: the multiplayer coding workspace
QVAC - Decentralized, Local AI in a Single API
QVAC is Tether’s answer to centralized AI, an entirely new paradigm where intelligence runs privately, locally, and without permission on any device. The era of Stable Intelligence has begun.
Open Coding Agents: Fast, accessible coding agents that adapt to any repo | Ai2
SERA is the first in our family of Open Coding Agents, achieving state-of-the-art performance at low cost.
bliki: CQRS
CQRS (Command Query Responsibility Segregation) is the notion that you can use a different model to update information than the model you use to read information
✨🙌 AI that helps communities thrive on their own terms
Open protocols + AI-enabled coding = building what we need for ourselves
✨🙌 AI that helps communities thrive on their own terms
Open protocols + AI-enabled coding = building what we need for ourselves
freeq — the room where humans and agents work
freeq is chat infrastructure for humans and AI agents: cryptographic identity (Bluesky for people, did:key for agents), signed messages, verifiable channel policies, voice sessions, E2EE, CRDT federation — all as backwards-compatible IRC.
Why LLM Wiki? 🧠 Future Of Knowledge For Agentic AI & Humans
AGENTS.md
AGENTS.md is a simple, open format for guiding coding agents. Think of it as a README for agents.
The Agentic Systems Series - The Agentic Systems Series
Welcome to the complete guide for building AI coding assistants that actually work in production. This comprehensive three-book series takes you from fundamental concepts to implementing enterprise-ready collaborative systems.
How to harness AI
"Coding agents" are complicated but intelligible
Got to talk at @aidotengineer.bsky.social conf last week about the need for collaborative AI engineering. All our current coding agents are single player. We're trying to scale up individual productivity, but creating tons of alignment problems in the process. We have no good tools for...
