π Feature Deep-Dive: Hub-and-Spoke Collaborative Memory for AI Teams
Hey Ghost fam! π
LOB Brain v2.7.0 is officially live, and today we want to talk about how it solves team alignment for AI agents.
If you are using Claude Desktop or Antigravity, LOB exposes 10 powerful MCP tools directly to the model. But if you have multiple developers in your team, how do their agents share context?
π₯ The Hub-and-Spoke Architecture
LOB runs as a federated memory network:
1. Spoke Mode: Each developer runs LOB locally. All edits, notes, and vector indices are cached locally in SQLite.
2. Master Hub: A central LOB server that pools public memories across the team.
When Dev A implements a new API or resolves a complex database bug, their agent calls brain_store to save it. LOB automatically syncs it to the Master Hub. Immediately, Dev B's agent can retrieve it via brain_context when working on a dependent task.
π 80% Startup Reduction & Session-Scale Savings
In our quantitative benchmarks, startup context loading was slashed by 80% (from 17.5k down to 3.5k tokens).
Furthermore, the longer your session lasts, the more tokens you save (averaging 70-80% total token budget reduction over a long day of coding) because LOB's Memory Decay prevents linear prompt bloat.
π¦ What's Inside the Pro Kit:
- 10 MCP Tools: Including brain_store, brain_context, and brain_query.
- 27 Battle-Tested Rules: To keep your AI focused, clean, and organized.
- 17 Automated Workflows: From E2E feature coding to DevOps pipelines.
- 37 Specialized AI Skills: Load expert modules (API patterns, DB design, security) on-demand.
Check out the settings tab in your LOB v2.7.0 Dashboard to connect your Spoke to your team's Master Hub!
π Visit now: https://lob-brain.vercel.app






