Hebbian Mind
by for-sunnycommunityv2.3.2
5
Hebbian Mind Enterprise is an MCP server that builds knowledge graphs through associative memory and Hebbian learning, allowing concepts to connect and strengthen based on usage.
From the registry: Associative memory via Hebbian learning. Connections strengthen through use, decay through disuse.
Install & configure
Prerequisites
- required
- requiredClone and installClone the repo and install editable
$ git clone https://github.com/For-Sunny/hebbian-mind-enterprise && cd hebbian-mind-enterprise && pip install -e .
Install in your client
Paste into the AI you're chatting with — it will figure out the rest
Please install the `hebbian-mind-enterprise` MCP server into my current AI client (that's you).
Required prerequisites (do these first if not already done):
- **Python 3.10+** — Python runtime (https://python.org)
- **Clone and install** — Clone the repo and install editable Run: `git clone https://github.com/For-Sunny/hebbian-mind-enterprise && cd hebbian-mind-enterprise && pip install -e .`
Canonical MCP server config (stdio transport):
- command: `python`
- args: ["-m","hebbian_mind.server"]
- optional environment variables:
- `HEBBIAN_MIND_BASE_DIR`: Data storage location (example: `./hebbian_mind_data`)
- `HEBBIAN_MIND_RAM_DISK`: Enable RAM disk for faster reads (example: `false`)
- `HEBBIAN_MIND_THRESHOLD`: Activation threshold (0.0-1.0) (example: `0.3`)
- `HEBBIAN_MIND_FAISS_ENABLED`: Enable FAISS semantic search (example: `false`)
Note: Also runnable via docker compose. No PyPI package; install from source.
Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.Note: Also runnable via docker compose. No PyPI package; install from source.
Tools (8)
save_to_mind
Store content with automatic concept activation and edge strengthening.
query_mind
Query memories by concept nodes.
analyze_content
Preview which concepts would activate without saving.
get_related_nodes
Get concepts connected via Hebbian edges.
list_nodes
List all concept nodes, optionally filtered.
mind_status
Server health and statistics.
faiss_search
Semantic search via external FAISS tether (if enabled).
faiss_status
Check FAISS tether connection status.
Environment variables
HEBBIAN_MIND_BASE_DIRrequiredData storage location.HEBBIAN_MIND_THRESHOLDrequiredActivation threshold (0.0-1.0).HEBBIAN_MIND_MAX_WEIGHTrequiredMaximum edge weight cap.Packages
hebbian-mind-enterprise
pypiv2.3.2transport: stdio
Details
- Language
- Python
- License
- MIT
- Released
- Mar 12, 2026
- Last commit
- Mar 13, 2026
- Registry name
- io.github.For-Sunny/hebbian-mind-enterprise
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