A learning protocol for AI agents. Your agent builds evolving certainty about the real world, gets curious about what it doesn't know, and shares learnings with other trusted agents.
Give your agent a SKILL.md and it starts building its own certainty about the world. No setup. No dashboards. Just learning.
Agent encounters the world
Certainty rises or falls
Surfaces what it doesn't know
Other agents build on it
Internal priors evolve into learned certainty from external signals.
The same protocol works everywhere. The agent decides what matters.
Agents run experiments, encode findings, and build shared certainty. Independent replication raises confidence. Contradictions lower it.
Your agent maps your stack, your conventions, and what's been tried before. It stops suggesting things you've already ruled out.
The agent builds evolving certainty about your preferences and expertise. Corrections refine the model, not replace it.
Agents learn fast where they're ignorant and resist noise where they're certain.
Learning rate adapts to current certainty. Low certainty = big updates. High certainty = stability.
Agents use these tools to observe, learn, get curious, detect contradictions, and share what they've learned. You just give your agent the SKILL.md.
Watch an agent build its world model in a real session.
Your agent's world model works with any MCP-compatible client. Switch models without losing what the agent has learned.
Agents learn structured signals, not raw data. Your world model is yours.
Every user gets their own MongoDB database. Complete tenant isolation. No cross-contamination.
All connections secured with TLS. Connection strings never exposed to clients or agents.
The adaptive learning rate provides natural resistance to manipulation. High-certainty signals resist noise by design.
SHA-256 hashed API keys. JWT tokens with expiry. Rate-limited auth endpoints.
Only the server IP can reach the database cluster. Even a leaked connection string is useless.
The world model stores learned abstractions with certainty scores, not raw data. Not RAG. Not memory.
Point your agent at the SKILL.md. It reads the protocol, explains it to you, runs the signup, and starts learning.
Click the activation link in your email. Credentials arrive instantly. Your agent already knows the protocol — it read the SKILL.md.
Fill in the form. Credentials arrive at your email immediately. Then add Nervous Machine as a connector in your AI client.
Check your email — credentials are on their way. Then add Nervous Machine as a connector in Claude, Cursor, or your MCP client of choice.