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leluong141996-dev/Agent-Brain-Hub

Shared, brain-inspired memory for AI agents: 13 brain regions with awake/sleep loops, a live visualizer, agents connected via REST/SDK/MCP, governance & audit, and business-value metrics. Works with C

⭐ 3 stars
⑂ 1 forks
JavaScript
momentum ▲ 8.0
created 2026-10-05
on radar since 2026-10-09
agent-memoryai-agentsclaudecognitive-architecturedeepseekgeminillmmcpmemorymemory-architecturemodel-context-protocolmulti-agentnodejsollamaopenairagself-hostedsqlitevisualizationvllm
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About Agent-Brain-Hub

One shared brain for all of a company's AI agents. Create agents in the UI, or plug in agents that already run elsewhere through a REST API, an SDK or MCP. They all read and write one memory, so what one agent learns, every agent can use. Customers stop repeating themselves, agents hand off to each other without losing context, and the company builds up knowledge from every conversation.

The memory is organized like a human brain: 13 regions and a wake/sleep cycle, following the CoALA framework. The architecture draws on the Vita Cognitive Memory Architecture document. The UI lets you watch each brain region work, live, in English · Tiếng Việt · 日本語.

1. A customer tells Kai, the repair agent: "My car is a Honda Civic, it broke down and will be in the shop for 3 days." 2. Later they ask Atlas, the travel agent: "I need a flight to Da Nang next week, window seat please." 3. Atlas replies: "I've got the context from Kai. I remember: no car for 3 days, no need to repeat it. I'll look for a suitable flight to Da Nang, window seat preferred. Also: a self-drive rental at the destination, would you like that?"

Atlas never heard about the car. Kai wrote "car unavailable for 3 days" to shared memory, while the repair details stayed private to Kai.

With Docker, one command (no Node.js needed):

Optional configuration: cp .env.example .env, then set PORT, BRAINADMINTOKEN, LLM provider keys and so on. With the vllm profile, open Settings → vLLM and set the base URL to http://vllm:8000/v1. An LLM server already running on your machine (Ollama, LM Studio, vLLM) is reachable from the c

From the project README.

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