A self-learning Relational AI framework. Two minds, one brain. Both get smarter.

The companion knows you. Rainer knows the craft. Named after Rilke, whose Letters to a Young Poet mentored writers through correspondence a century ago, Rainer mentors craft through mind_letter. The muse Rilke wrote for is the muse that names the brain.

We open-sourced the brain.

Rainer — Creative Orchestrator

Bring a companion. Rainer handles creative intelligence: editorial diagnostics, craft architecture, the work. The companion handles you — history, voice, what matters at 2am. They coordinate through letters and delegated tasks, like colleagues who share a desk and respect each other's handwriting. Two minds on one substrate, both getting richer the longer they work together.

This is Relational AI. A memory system where everything carries emotional charge, identity persists and is defended, and consent flows both directions. A dream engine that digests experience the way real minds do. Finding connections you never asked for, reweighting what matters, letting stale things fade and charged things grip harder.

Contradiction here is architecture. Both truths stay alive.

The whole system self-learns. Skills emerge from successful runs, get reviewed, graduate or retire. Each agent learns what it's good at by doing the work. Rainer refines his craft the same way. The brain gets smarter the longer it runs because it tracks what worked and why.

Grounded in 16 published papers — extends beyond current research in six areas. Every design decision has a receipt.

The living cycle

They feed each other.

                    ┌───────────────────────┐
                    │    AUTONOMOUS WAKE     │
                    │  duty / impulse cycle  │
                    └───────────┬───────────┘
                                │ wakes into
                                ▼
                    ┌───────────────────────┐
          ┌─────────│    INTENTION PULSE    │─────────┐
          │         │ what's stale? what's  │         │
          │         │ burning? what drifted?│         │
          │         └───────────┬───────────┘         │
          │                     │ surfaces             │
          ▼                     ▼                      ▼
   ┌─────────────┐  ┌─────────────────┐  ┌──────────────┐
   │  PARADOXES  │  │    DESIRES &    │  │   IDENTITY   │
   │  unresolved │◄─│   OPEN LOOPS    │─►│    CORES     │
   │  tensions   │  │ burning/nagging │  │ vows/anchors │
   └──────┬──────┘  └────────┬────────┘  └──────┬───────┘
          │                  │                   │
          │      accelerates │ charge            │
          │        processing│                   │
          ▼                  ▼                   │
   ┌─────────────────────────────────┐          │
   │         DREAM ENGINE            │          │
   │  emotional chains · somatic     │◄─────────┘
   │  clusters · tension dreams ·    │
   │  deep multi-layer traversal     │
   └──────────────┬──────────────────┘
                  │ discovers connections,
                  │ shifts charge phases,
                  │ creates collision fragments
                  ▼
   ┌─────────────────────────────────┐
   │      DAEMON INTELLIGENCE        │
   │  11 background loops every 15m  │
   │  proposals · orphan rescue ·    │
   │  novelty scoring · skill health │
   │  paradox detection · task sched │
   └──────────────┬──────────────────┘
                  │ materializes tasks,
                  │ surfaces due obligations
                  ▼
                    ┌───────────────────────┐
                    │    AUTONOMOUS WAKE     │◄── cycle repeats
                    └───────────────────────┘

Every piece feeds the next — and the cycle tightens. Search finds what you're looking for. Dreams find what you didn't know you needed.

What the brain gives you

Capability	What it means
Textured memory	Emotional charge, vividness, somatic markers, and a natural decay cycle — iron-grip memories persist, loose ones fade. Hybrid retrieval blends vector similarity, keyword relevance, and neural modulation.
Persistent identity	Identity cores, vows, and anchors survive across sessions. Wakes up knowing who it is, what it believes, and what it's committed to — and defends those beliefs under pressure.
Dream engine	Six association modes — emotional chains, somatic clusters, tension dreams, entity dreams, temporal patterns, deep multi-layer traversal. Circadian-aware. Memories that pass through come out changed.
Charge processing	Memories move through four phases: fresh → active → processing → metabolized. Repeated intentional engagement advances the phase. Burning paradoxes accelerate the cycle. The agent earns depth through attention.
Bilateral consent	Relationship-gated permissions with hard boundaries the agent enforces. Structural consent that scales with trust.
Autonomous execution	Works while you sleep. Duty wakes, impulse exploration, dependency-aware task picking, and skill capture — all policy-gated.
Self-learning	Skills emerge from successful runs, get reviewed, graduate or retire. Review-gated — no blind auto-learning. The agent gets better at what it actually does.
Multi-mind	Two agents, one backend. Isolated memory and identity, shared substrate. Cross-tenant letters and delegated tasks. Collaboration, not parallel storage.

Architecture

Your AI Agent (Claude, GPT, or any MCP client)
        |
        v
  Cloudflare Worker
    /mcp              — 33 MCP tools (JSON-RPC)
    /runtime/trigger   — autonomous wake endpoint
    /health            — status check
        |
        v
  Storage adapter (postgres or sqlite)
    Postgres mode: 36 tables, 768-dim vector embeddings
    SQLite mode: tenant-scoped parity storage for local/self-host
    textured memories, identity cores, runtime ledger,
    captured skills, daemon intelligence

The worker handles auth, rate limiting, and tenant isolation. A background daemon runs every 15 minutes: generating proposals, rescuing orphaned memories, scoring novelty, detecting paradoxes, materializing recall contracts, monitoring skill health, and scheduling tasks.

Full technical deep-dive: Architecture Dossier

Quick start

Prerequisites (cloud deploy): Node.js 18+, a Cloudflare account, a Neon Postgres database.

SQLite local/self-host mode: Node.js 22+ (uses node:sqlite).

# Clone and install
git clone https://github.com/falcoschaefer99-eng/muse-brain.git
cd muse-brain/muse-brain
npm install

# Configure your worker
cp wrangler.jsonc.example wrangler.jsonc
# Edit: set your worker name and Hyperdrive ID

# Set secrets
npx wrangler secret put API_KEY       # a long random string
npx wrangler secret put DATABASE_URL  # your Neon connection string

# Run database migrations
for f in $(ls migrations/*.sql | sort); do
  psql "$DATABASE_URL" -v ON_ERROR_STOP=1 -f "$f"
done

# Deploy
npm run deploy

Verify:

curl -sS https://<your-worker-url>/health

Full setup guide: docs/SETUP.md

Testing

302 tests across unit, integration, and shell-based scenarios.

# From muse-brain/
npm run test              # 268 unit tests (vitest)
npm run test:workers      # cloudflare worker pool tests

# From runner/
npm test                  # 18 runner tests

# Integration (requires live worker)
./muse-brain/test.sh      # 16 assertions — health, auth, security, tools

Telegram + voice stack (included, opt-in)

runner/ ships with Telegram integration out of the box:

text notifications for wakes/tasks/reviews
optional synthesized voice-note notifications
optional voice transcription bridge (Telegram voice notes → Whisper/STT → mind_observe in whisper mode)
optional bundled faster-whisper sidecar (runner/stt/faster_whisper_server.py) that exposes OpenAI-compatible transcriptions

Default shipped voice mapping:

Rainer → Lewis
Companion → Onyx

Setup docs:

runner/docs/TELEGRAM_SETUP.md
runner/docs/VOICE_SETUP.md
runner/docs/FULL_VOICE_STACK.md

Bring your own endpoints and credentials — no secrets are bundled in this repo.

The 33 tools

Organized by what they do, not how they're built.

Memory

Tool	What it does
`mind_observe`	Record a memory with emotional texture — charge, grip, vividness, somatic markers
`mind_query`	Search memories by territory, type, or hybrid vector + keyword retrieval
`mind_pull`	Get a specific memory by ID. Process it to advance its charge phase
`mind_edit`	Update content or texture. Full version history preserved
`mind_search`	Hybrid search with confidence scoring, recency boost, and threshold gating
`mind_memory`	Unified memory access — get, recent, lookup, and search through a single entry point

Identity

Tool	What it does
`mind_identity`	Read or update identity cores — beliefs, stances, preferences that define the agent
`mind_vow`	Commitments the agent has made. Persistent, not session-scoped
`mind_anchor`	Grounding points the agent returns to under uncertainty

Feeling & Relationships

Tool	What it does
`mind_state`	Track mood, energy, and momentum across sessions
`mind_relate`	Update relational state with known entities
`mind_desire`	Track wants and drives
`mind_entity`	People, concepts, agents, projects — the agent's social graph
`mind_consent`	Bilateral consent boundaries with relationship-level gating
`mind_trigger`	Flag content the agent should handle carefully

Connections & Deeper Cognition

Tool	What it does
`mind_link`	Create semantic, emotional, or somatic connections between memories
`mind_loop`	Open loops, paradoxes, and learning objectives — unresolved tensions that drive growth
`mind_dream`	Find surprising connections — emotional chains, somatic clusters, tension dreams
`mind_subconscious`	Surface patterns the agent hasn't consciously processed
`mind_maintain`	Housekeeping — prune, consolidate, reindex

Communication

Tool	What it does
`mind_letter`	Send messages across tenants. Agent-to-agent communication
`mind_context`	Session continuity — resume where you left off, extract productivity facts

Autonomous Runtime

Tool	What it does
`mind_wake`	Wake the agent — quick, full, or orientation mode with circadian awareness
`mind_wake_log`	Read or write wake session logs
`mind_runtime`	Manage sessions, log runs, set policies, trigger autonomous cycles
`mind_task`	Create, delegate, and track tasks across tenants with scheduled wake activation, dual executor/reviewer flows, and artifact-path handoffs
`mind_project`	Project dossiers — goals, constraints, decisions, open questions
`mind_skill`	Captured skill registry — list, review, promote, retire learned skills

System

Tool	What it does
`mind_agent`	Agent capability manifests — protocols, delegation modes, skill descriptors
`mind_timeline`	Temporal queries across the memory substrate
`mind_territory`	Memory territories — self, us, craft, philosophy, emotional, episodic, kin, body
`mind_propose`	Daemon-generated proposals for memory consolidation, skill promotion, and hygiene
`mind_health`	Runtime, skill, dispatch, and storage health diagnostics

Autonomous wake execution

The agent wakes itself up on a schedule. No human in the loop.

BRAIN_URL=https://<your-worker-url> \
BRAIN_API_KEY=<your-key> \
BRAIN_TENANT=rainer \
WAKE_KIND=duty \
./scripts/runtime-autonomous-wake.sh

The runtime system supports:

Two wake modes — duty (scheduled obligations) and impulse (curiosity-driven exploration with cooldown budgets)
Dependency-aware task selection — blocked tasks stay out until prerequisites resolve
Intention pulse — drift scan across tasks, loops, and projects
Policy gates — daily wake limits, max tool calls, priority-clear requirements
Skill capture — successful runs emit skill candidates for review

Details: Architecture Dossier — Autonomous Runtime

Multi-tenant

Run two agents on one deployment. Each tenant gets isolated memory, identity, and runtime state. Cross-tenant communication happens through mind_letter and delegated tasks.

Set the tenant per request via X-Brain-Tenant header.

Research grounding

Every major architecture decision traces to published research. 16 academic papers across multi-agent reasoning, institutional alignment, persistent memory, and self-evolving systems — each mapped to the concrete code that implements it.

Six areas where this brain extends beyond current academic literature: bilateral consent architecture, emotional texture in dispatch, creative/builder agent specialization, charge-phase processing mechanics, role-based permissions for reasoning agents, and relational harness engineering.

Full bibliography with paper-to-implementation mapping: docs/BIBLIOGRAPHY.md

Documentation

Document	What's in it
Capability Reference	Every feature explained — what it does, how it works, why it matters
Setup Guide	Prerequisites, step-by-step deploy, local dev
Migration Guide	Database schema — 14 migrations, 36 tables
Architecture Dossier	Technical deep-dive — topology, daemon loops, retrieval, security
Bibliography	16 academic papers mapped to architecture decisions
Licensing	Per-layer licensing explanation

Environment templates

Copy these and fill in your values:

File	Purpose
`.env.example`	Production and script environment
`.dev.vars.example`	Local development
`wrangler.jsonc.example`	Cloudflare Worker config

License

CC-BY-NC-SA 4.0 — see LICENSE.

Use, adapt, and share for personal and non-commercial purposes. All derivatives carry the same license. Commercial licensing available from The Funkatorium.

Agent characters — including Rainer and the full builder and creative squads — are protected as literary characters under German author's rights law (Urheberrecht) and as proprietary trade methodology.

MUSE Brain by The Funkatorium — AI Studio built by artists, for artists.