We just released SBP (Stigmergic Blackboard Protocol), an open-source protocol for multi-agent AI coordination.

**The problem:** Most multi-agent systems use orchestrators or message queues. These create bottlenecks, single points of failure, and brittle coupling between agents.

**The approach:** SBP uses stigmergy — the same mechanism ants use. Agents leave signals on a shared blackboard. Those signals have intensity, decay curves, and types. Other agents sense the signals and react. No direct communication needed.

**What makes it different from MCP?** MCP (Model Context Protocol) gives agents tools and context. SBP gives agents *awareness of each other*. They're complementary — use MCP for "what can I do?" and SBP for "what's happening around me?"

**What's included:**

* Full protocol specification (RFC 2119 compliant)
* TypeScript reference server (`@advicenxt/sbp-server`)
* TypeScript + Python client SDKs
* OpenAPI 3.1 specification
* Pluggable storage (in-memory, extensible to Redis/SQLite)
* Docker support

**Links:**

* GitHub: [https://github.com/AdviceNXT/sbp](https://github.com/AdviceNXT/sbp)
* npm: `npm install` [u/advicenxt](https://www.reddit.com/user/advicenxt/)`/sbp-server`
* PyPI: `pip install sbp-client`

Happy to answer questions about the protocol design, decay mechanics, or how we're using it in production.

We open-sourced SBP — a protocol that lets AI agents coordinate through pheromone-like signals instead of direct messaging