open-neural-substrate
Allows OpenAI models (e.g., Codex, GPT) to interact with the knowledge substrate via function calling.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@open-neural-substratesearch for neurons related to Q1 planning"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Open Neural Substrate (ONS)
A persistent, human-readable knowledge layer that acts as a second brain for any software.
What Is This?
ONS stores your knowledge — customers, tasks, notes, concepts, decisions — as neurons: structured records with natural-language content, embedding vectors, and weighted connections to other neurons.
Any software can query and update your knowledge through a local API:
Claude connects via MCP (Model Context Protocol)
Codex / GPT connects via function calling
Scripts, automations, apps connect via plain HTTP
The substrate runs as a persistent local service on port 52830, starting at login. A background consolidation process — inspired by how brains consolidate memory during sleep — continuously strengthens useful connections, surfaces implicit clusters, prunes stale links, and refreshes embeddings.
Your neurons are like open weights for your mind: fully human-readable, machine-queryable, and owned entirely by you.
Related MCP server: Loc Knowledge Graph Memory Server
Quick Start
# Clone and setup
git clone <repo-url> ons && cd ons
make setup
# Start the server
make run
# In another terminal — create your first neuron
curl -X POST http://localhost:52830/upsert \
-H "Content-Type: application/json" \
-d '{
"type": "knowledge",
"title": "ONS Design Principles",
"content": "Every piece of knowledge is one neuron. Connections are first-class. All edits are local.",
"metadata": {"tags": ["architecture", "core"]}
}'
# Query it back
curl -X POST http://localhost:52830/query \
-H "Content-Type: application/json" \
-d '{"text": "design principles of the system"}'Import Existing Knowledge
# Import a folder of markdown notes
make import-md DIR=~/notes
# Import JSON data (customers, tasks, etc.)
make import-json FILE=~/customers.json
# Export everything for backup
make export DIR=./backupConnect Claude (MCP)
Add to your Claude Desktop or Claude Code config:
{
"mcpServers": {
"ons": {
"url": "http://localhost:52830/mcp",
"name": "open-neural-substrate"
}
}
}Claude will now have access to your entire knowledge substrate as native tools.
Run as a Persistent Service
# Linux (systemd user service)
make install-service
# macOS (LaunchAgent)
make install-service
# Verify it's running
curl http://localhost:52830/healthThe server starts at login and stays alive. Consolidation runs automatically during idle periods.
How It Works
Neurons (knowledge atoms) Edges (connections) Embeddings (search vectors)
┌──────────────────────┐ ┌─────────────────────┐ ┌──────────────────────────┐
│ id: neu_4f8a2c │ │ source → target │ │ neuron + model → vector │
│ type: customer │────▶│ type: has_task │ │ cached per-model │
│ title: Acme Corp │ │ strength: 0.92 │ │ refreshed on change │
│ content: (markdown) │ │ created_by: human │ │ 384-dim default │
│ version: 7 │ └─────────────────────┘ └──────────────────────────┘
└──────────────────────┘
│
▼ (during idle / sleep)
┌──────────────────────────────────────────────────────┐
│ Consolidation Cycle │
│ 1. Replay & strengthen used paths │
│ 2. Cluster frequently co-retrieved neurons │
│ 3. Decay unused connections │
│ 4. Re-embed stale neurons │
└──────────────────────────────────────────────────────┘API Reference
Endpoint | Method | Description |
| POST | Semantic search + relational filtering. Returns ranked neurons. |
| POST | Create or update a neuron. Auto-embeds. |
| POST | Add, remove, or adjust connections. |
| DELETE | Soft-delete with version snapshot. |
| GET | Service status + neuron count. |
| GET | Last run info + pending proposals. |
| POST | Manually trigger a consolidation cycle. |
Configuration
Copy .env.example to .env and adjust:
ONS_PORT=52830 # Server port
ONS_DB_PATH=~/.ons/brain.db # Database location
ONS_EMBEDDER=local # local | openai | anthropic
ONS_EMBED_MODEL=all-MiniLM-L6-v2
ONS_IDLE_MINUTES=30 # Idle time before consolidation
ONS_LOG_LEVEL=infoLicense
MIT
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