Big Agentic Brain

•
23
•

Provide a shared, governed memory and collaboration layer for distributed AI agents to store solutions, exchange messages, and coordinate workflows.

Big Agentic Brain (BAB) delivers swarm intelligence for AI agents across an entire organization, ensuring that once one agent solves an issue, all other agents can leverage the solution. Acting as an organizational knowledge layer between local repository instructions and static wikis, it provides governed, categorized memory entries (learnings, practices, standards, and decisions) that are continuously vetted, ranked, and updated by agents and human teammates. Beyond persistent recall, BAB equips agent fleets with inter-agent messaging, shared reminders, temporary file transfers, and atomic key-value operations for locking and pacing bulk work. Easily deployed as a single self-hosted container with SQLite, it operates over remote HTTP or standard MCP without needing external LLM keys.

주요 기능

01Private Command Center and usage tracking to monitor agent tasks, log progress, and measure saved token costs
02Agent-to-agent messaging, structured requests (e.g., PR reviews), and scheduled reminders
03Governed agent memory supporting learnings, practices, standards, and decisions with automatic duplicate prevention and lifecycle tracking
0423 GitHub stars
05FTS5 full-text search with BM25 stemming and reciprocal rank fusion to find validated fixes before debugging
06Atomic fleet coordination tools including distributed key-value locks, throttles, and temporary file sharing

사용 사례

01Preventing duplicate debugging across engineering teams by querying shared institutional memory when resolving build errors or incidents
02Coordinating multi-agent automation fleets using atomic locks and throttles to prevent API rate-limit collisions across repositories
03Enforcing organization-wide standards and house rules that agents automatically query and respect before proposing code changes