Skip to main content

Sovereign Agent OS — Persistent Memory, Governance & Compliance for AI Agents

Project description

.brain — the portable decision log

The portable decision log your AI tools all read. One MCP server. Any AI tool. Plain files.

PyPI version License: MIT MCP Compatible NPM nucleus-mcp MCP server

Every AI coding session starts by re-explaining context the last session already knew. .brain is a folder in your repo that Claude Code, Cursor, and Codex all read via one MCP server. Decisions, policies, plans — written once, remembered across every session and every tool.

MIT licensed. File-based (plain JSON + markdown). No embeddings. No vendor lock-in.


Also included: nucleus-rabbithole

nucleus-mcp ships a second, fully independent tool: nucleus-rabbithole, a rabbit-hole depth tracker for focus-prone developers.

It gives your AI a push/pop depth stack, a context-switch thrash detector, an open-loop externaliser, and a weekly review — all backed by local SQLite, no network, no daemon.

# Already installed with nucleus-mcp — just run:
nucleus-rabbithole

Claude Code .mcp.json snippet:

{
  "mcpServers": {
    "nucleus-rabbithole": {
      "command": "nucleus-rabbithole",
      "args": []
    }
  }
}

Full documentation: docs/RABBITHOLE.md


Three Frontiers

The core loop that makes AI reliability compound over time:

  GROUND              ALIGN               COMPOUND
  ──────              ─────               ────────
  Machine verifies    Human corrects      System learns

  AI writes code  →  You fix a mistake →  Delta recorded
  GROUND checks   →  Verdict stored    →  DPO pair created
  Receipt logged  →  Event emitted     →  Training data grows
       │                   │                    │
       └───────────────────┴────────────────────┘
                    Reliability improves

GROUND — 5-tier execution verification. Syntax, imports, tests, runtime. Goes outside the formal system to check the AI's work.

ALIGN — One-call corrections. nucleus_align(action="correct", params={context, correction}). Each correction automatically records a verdict, creates a training pair, and emits an event.

COMPOUND — Deltas measure the gap between intent and reality. Recurring patterns become strategy. Negative deltas become training signal.

Every tool response shows frontier health:

[frontiers: GROUND 42 | ALIGN 12 | COMPOUND 28]

Quick Start

Option A — No install (ChatGPT, Claude, Perplexity):

Add https://relay.nucleusos.dev/mcp as a remote MCP server in your platform's connector settings. That's it — your AI now has persistent memory.

Option B — Local install (Cursor, Windsurf, Claude Desktop):

pip install nucleus-mcp
nucleus init --recipe founder

Two commands. Nucleus is running. AI outputs are now verified. nucleus init auto-configures your MCP client — just restart it.


What It Does

114 MCP tools across 13 facades:

  • GROUND — Execution verification (5 tiers: diff, syntax, imports, tests, runtime)
  • ALIGN — Human corrections (verdict + delta + DPO + event in one call)
  • Memory — Engrams that persist across sessions. Write once, recall forever.
  • Sessions — Save context, resume later. Session arc shows your last 3 sessions.
  • Tasks — Priority queue with escalation, HITL gates, and heartbeat monitoring.
  • Governance — Kill switch, compliance configs (EU DORA, MAS TRM, SOC2), audit trails.
  • Orchestration — Agent slots, multi-brain sync, task dispatch.
  • Archive — Training pipeline (SFT + DPO), delta tracking, frontier health dashboard.

Benchmark: decision-retention-evals — does your AI agent remember why the code is the way it is?


Nucleus Pro

Everything above is free (MIT). Nucleus Pro adds verifiable governance:

nucleus trial                              # 14-day free trial
nucleus compliance-check                   # Score your AI governance
nucleus audit-report --signed -o report.html  # Cryptographically signed report

$19/month or $149/yearnucleusos.dev/pricing

Free Pro
13 tools, 10 resources, 3 prompts Yes Yes
Persistent memory Yes Yes
Governance & HITL Yes Yes
Audit trails (DSoR) Yes Yes
Signed audit reports - Ed25519
Compliance exports Score only Full PDF/HTML
Priority issues - Yes

Install

One command installs the CLI and auto-configures every MCP client you have — Claude Desktop, Claude Code, Cursor, Windsurf, and Antigravity — backing up each config file it touches. No hand-editing JSON.

pip install nucleus-mcp      # or:  uvx nucleus-mcp  ·  pipx install nucleus-mcp
nucleus init                 # seeds .brain/ and writes the MCP config for every client found

Then restart your AI client. To verify: your client's tool list now shows nucleus_* tools, or run nucleus doctor.

nucleus init writes a <config>.json.bak backup before editing, and never touches an existing nucleus entry unless you pass --force. Already have a .brain? Run nucleus setup to (re)configure clients without re-seeding it — add --dry-run to preview the exact changes first.

Claude Desktop — one-click bundle

A one-click nucleus.mcpb bundle for Claude Desktop is built via bash scripts/build_mcpb.sh (it will be attached to releases once the release workflow ships it). Opening the bundle with Claude Desktop uses Claude's built-in uv runtime to fetch and run nucleus-mcp — no Python setup required.

No install (ChatGPT, Claude.ai, Perplexity)

Add https://relay.nucleusos.dev/mcp as a remote MCP server in your platform's connector settings. Persistent memory, nothing to install.

Manual config (fallback)

If a client isn't auto-detected, nucleus init prints a ready-to-paste mcpServers block and copies it to your clipboard, along with each client's config-file location. The full manual walkthrough lives in docs/QUICK_START.md.

Path Discovery

Nucleus finds your .brain automatically:

  1. NUCLEUS_BRAIN_PATH environment variable (explicit)
  2. Walk up from CWD looking for .brain/ directory
  3. Fall back to $HOME/.nucleus/brain

CLI

Nucleus has a full CLI alongside the MCP tools. Auto-detects TTY (table output) vs pipe (JSON).

# Memory
nucleus engram write my_key "insight here" --context Decision --intensity 7
nucleus engram search "compliance"
nucleus engram query --context Strategy --limit 10

# Tasks
nucleus task list --status READY
nucleus task add "Ship the feature" --priority 1

# Sessions
nucleus session save "Working on auth refactor"
nucleus session resume

# Health
nucleus status --health
nucleus sovereign

# Compliance
nucleus comply --jurisdiction eu-dora
nucleus audit-report --format html -o report.html

# Chat (multi-provider: Gemini, Anthropic, Groq)
nucleus chat

Pipe-friendly:

nucleus engram search "test" | jq '.key'
nucleus task list --format tsv | cut -f1,3

Compliance

One-command configuration for regulatory frameworks:

nucleus comply --jurisdiction eu-dora       # EU DORA
nucleus comply --jurisdiction sg-mas-trm    # Singapore MAS TRM
nucleus comply --jurisdiction us-soc2       # US SOC2
Jurisdiction Retention HITL Ops Kill Switch
eu-dora 7 years 5 types Required
sg-mas-trm 5 years 5 types Required
us-soc2 1 year 3 types Optional
global-default 90 days 2 types Optional

Telemetry

Nucleus collects anonymous, aggregate usage statistics (command name, duration, error type, versions, OS). No engram content, no file paths, no prompts, no API keys, no PII — ever.

nucleus config --no-telemetry
# or: NUCLEUS_ANON_TELEMETRY=false

See TELEMETRY.md for details.


Contributing

License

MIT © 2026 | hello@nucleusos.dev

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

nucleus_mcp-1.15.2.tar.gz (1.4 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

nucleus_mcp-1.15.2-py3-none-any.whl (1.6 MB view details)

Uploaded Python 3

File details

Details for the file nucleus_mcp-1.15.2.tar.gz.

File metadata

  • Download URL: nucleus_mcp-1.15.2.tar.gz
  • Upload date:
  • Size: 1.4 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.4

File hashes

Hashes for nucleus_mcp-1.15.2.tar.gz
Algorithm Hash digest
SHA256 b2c13a6d8164b89006b498b21a1579b1132b4ef10564707c7db88c8c0a97b055
MD5 98d2c308ee0ad10c7953a8e81189c90b
BLAKE2b-256 3cca90074da1a059eb181d89fdd97b9f1d2db94a3e2e90b9ca724bb4fe96390f

See more details on using hashes here.

File details

Details for the file nucleus_mcp-1.15.2-py3-none-any.whl.

File metadata

  • Download URL: nucleus_mcp-1.15.2-py3-none-any.whl
  • Upload date:
  • Size: 1.6 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.4

File hashes

Hashes for nucleus_mcp-1.15.2-py3-none-any.whl
Algorithm Hash digest
SHA256 d5412e45524cae701d4af6673fdfe977d30c6b3386d2ee7af14269a79826299e
MD5 6c9be36b0116128e886f40c5aa0dd0ae
BLAKE2b-256 46fd491a9898569d8b47275458511a3c4910ba6e6dc50b367982f564aeccbed5

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page