GBrain: The Open-Source Agentic Brain Layer for Enterprise AI

The Missing Layer in Enterprise AI

Every enterprise AI deployment eventually hits the same wall: agents that can't remember, can't coordinate, and can't reason across context windows. The model is capable. The infrastructure isn't.

GBrain is the layer that fixes that.

What GBrain Is

GBrain is an open-source agentic brain layer — a persistent context and memory system designed specifically for enterprise multi-agent deployments. It sits between your AI models and your business data, providing three core capabilities:

Persistent Memory

GBrain maintains structured memory across sessions, agents, and time. Every agent that touches GBrain can read from and write to a shared knowledge graph — without stepping on each other's data.

Memory in GBrain is typed. Episodic memory records what happened. Semantic memory stores what the agent knows. Procedural memory holds how the agent does things. Each type has different retention and retrieval rules.

Structured Reasoning

GBrain provides a reasoning layer on top of raw memory. Agents don't just retrieve facts — they retrieve facts with context, relationships, and relevance scores. This dramatically reduces hallucination rates in long-running agent workflows.

Cross-Agent Coordination

GBrain's coordination layer lets agents declare dependencies, signal completion, and request handoffs through a typed protocol. No more polling shared databases. No more race conditions.

Why Open Source

The agentic brain layer is too important to be owned by a single vendor. GBrain is open source because enterprise AI infrastructure should be auditable, forkable, and community-improved.

Coreweaver Labs contributes to GBrain and builds production deployments on top of it. We believe the best way to advance the field is to give the infrastructure away and compete on the integration layer.

Getting Started

GBrain runs on Postgres and Redis. A standard deployment takes under an hour. The schema is fully documented and the API is designed to be LLM-friendly — agents can query and write to GBrain using natural language instructions translated to structured calls.

The project is actively maintained and production-ready. Coreweaver Labs runs GBrain in production across multiple client deployments.