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The control plane for AI agents that act in the real world.

Memory is the substrate. Governance is the product. Novyx Core lets agents remember, coordinate, act safely, and recover — three lines of code.

Get started in 30 seconds

MCP memory works locally with zero config. No API key needed.

Governed actions · Novyx Control

python
live
>>> from novyx import Novyx
>>> nx = Novyx(api_key="nram_...")
>>> result = nx.request_

Four things it does

Act Safely

Policy engine, approval flows, and cryptographic audit for every action.

  • Approve before execution
  • SHA-256 audit trail
  • Risk tiers & delegation

Recover

Point-in-time rollback. Preview before executing. Like git for agent state.

  • Restore to any point in time
  • Replay time-travel
  • Eval health scoring

Coordinate

Context Spaces let agents share memory. Agent A learns it, Agent B knows it.

  • Shared memory spaces
  • 107 MCP tools
  • Works in Claude Code & Cursor

Remember

Persistent memory with semantic search. Survives sessions, restarts, crashes.

  • Sub-100ms recall
  • Semantic search
  • Knowledge graph

See it in action

Store memories, corrupt them, roll back to a clean state, and verify the cryptographic proof — all in your browser. No signup required.

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Get started in 30 seconds

Setup: Install & initialize

python
pip3 install novyx            # or: pip3 install novyx[async]

from novyx import Novyx
nx = Novyx(
    api_key="nram_...",
    control_url="https://control.novyxlabs.com",
    control_api_key="strata_...",   # governed actions require Novyx Control
)

Then 3 lines: request, approve, inspect

python
result = nx.request_action("github.issue.create", payload={...})
nx.approve(result)
nx.action_audit(result["id"])

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