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MSTRMND Core

Executable operational intelligence infrastructure.

Models change. The intelligence layer persists.

MSTRMND Core is the runtime implementation of the doctrine defined in mstrmnd.md.

mstrmnd.md defines what MSTRMND believes, how its systems should behave, and the standards every agent, skill, connector, workflow, and client deployment must follow.

mstrmnd-core implements those standards in software.

Canonical Positioning

MSTRMND installs the intelligence layer between a company's vision and its daily execution.

MSTRMND Core provides the model-agnostic runtime for context, memory, orchestration, skills, tools, governance, evaluation, and continuous learning.

Repository Relationship

Repository Role
mstrmnd.md Canonical company doctrine, architecture standards, commercial model, agent specifications, brand rules, research standards, and roadmap
mstrmnd-core Executable runtime, packages, adapters, workflows, policies, observability, and agent implementations

When implementation and doctrine conflict, the current merged version of mstrmnd.md is authoritative until an explicit architecture decision updates both repositories.

Operating Loop

Vision
  ↓
Context + Memory
  ↓
Planning
  ↓
Orchestration
  ↓
Execution
  ↓
Evaluation
  ↓
Learning
  ↺

Current Systems

  • Hermes agent runtime
  • MCP interface layer
  • Board — Expo decision-room (apps/board): specialist agents + Chair, extracted from the Expo skills fork
  • Obsidian-backed context and memory
  • identity profile loading
  • ranked memory search
  • memory graph construction
  • connector workspace package
  • multimodal and vision foundations
  • creative and editorial intelligence workers

The local-first Obsidian implementation remains an important reference adapter. It is not the boundary of the platform.

Target Runtime Capabilities

MSTRMND Core is evolving toward:

  • company, workspace, user, role, project, and agent context
  • model-agnostic provider routing
  • persistent memory and knowledge graphs
  • agent, skill, tool, and connector registries
  • durable workflow orchestration
  • policy and permission enforcement
  • approval gates for consequential actions
  • budget and consumption controls
  • evaluations and regression testing
  • cost, quality, and business-outcome telemetry
  • auditable execution histories
  • tenant-aware credentials and data boundaries

Package Direction

Existing packages should be preserved and progressively aligned with these domains:

@mstrmnd/context
@mstrmnd/memory
@mstrmnd/orchestrator
@mstrmnd/model-router
@mstrmnd/skills
@mstrmnd/tools
@mstrmnd/connectors
@mstrmnd/policy
@mstrmnd/workflows
@mstrmnd/evals
@mstrmnd/observability
@mstrmnd/schemas

This list is a target architecture, not a requirement to create empty packages. New packages should be introduced only when they own real behavior and a stable contract.

Identity and Tenancy

The runtime must generalize identity beyond a single person or vault.

Supported identity scopes should include:

  • organization
  • workspace
  • user
  • operator role
  • brand
  • client
  • project
  • agent
  • workflow

Every memory, credential, policy, tool call, and artifact must carry an explicit scope. Cross-scope access should be denied by default.

See docs/runtime-boundaries.md and docs/modernization-roadmap.md.

Hosting is an adapter on the same terms as any other vendor: what couples the runtime to a platform, what replaces it, and how to verify the replacement is tracked in docs/portability.md.

Local MVP — Quick Start

Prerequisites

  • Node.js 20+
  • pnpm 10+
  • an Obsidian vault on disk

1. Install

pnpm install

2. Configure vault path

cp .env.example .env
# Set OBSIDIAN_VAULT_PATH if not using the default.

Default vault path:

~/Documents/Obsidian Vault

3. Add identity + company + operator profiles

cp templates/identity.md templates/company.md templates/operator.md "$OBSIDIAN_VAULT_PATH/"

Or bootstrap a standalone operator pack:

pnpm operator:init --dir ../my-operator
export OBSIDIAN_VAULT_PATH="/absolute/path/to/my-operator"

4. Smoke test Hermes (orchestrator)

OBSIDIAN_VAULT_PATH="/path/to/your/vault" pnpm hermes -- --goal "Summarize operator context" --dry-run

Expected: context summary, doctrine ref, workspace mounts, run status succeeded (EchoProvider).

5. Connect through MCP (plugin)

Add the server to Cursor or another MCP-compatible client:

{
  "mcpServers": {
    "mstrmnd": {
      "command": "pnpm",
      "args": ["--filter", "@mstrmnd/mcp-server", "start"],
      "cwd": "/path/to/mstrmnd-core",
      "env": {
        "OBSIDIAN_VAULT_PATH": "/path/to/your/vault"
      }
    }
  }
}

Project Cursor MCP also includes the public vgpu docs/examples server in .cursor/mcp.json. Maestro reaches the same endpoint through vgpu_docs / vgpu_examples.

Tools:

Tool Description
search_memory Ranked search over note titles, tags, and content
get_note Retrieve note content by path or title
get_identity Return the parsed identity profile
get_context Assembled ContextPack (company, operator, doctrine, memory)
list_workspace List files/folders under a mount
read_file Read a mount-relative file (size-capped)
write_file Stage a draft under .mstrmnd/drafts/; does not publish until approve_write
approve_write Publish a staged draft to its target (human-approval step)
list_agents Registered agent specs
run_agent Dispatch an orchestrator run

6. Verify

pnpm verify
pnpm hermes -- --dry-run

Board (decision room)

Isolated Expo app — not part of the root pnpm workspace. Uses its own npm lockfile.

npm --prefix apps/board ci
pnpm board:typecheck
pnpm board:test
pnpm board:web

See apps/board/README.md. Live rooms sign in to mstrmnd-os and stream through /api/board/complete. No vendor API key lives on the device.

Host integration

Hermes CLI and MCP both boot via createRuntime() in @mstrmnd/intelligence-core. Configure:

  • OBSIDIAN_VAULT_PATH — vault or operator-pack root
  • MSTRMND_MODEL_PROVIDERecho (default, offline) or openai / openai-compatible
  • MSTRMND_MODEL_API_KEY or OPENAI_API_KEY — required when provider is openai*
  • MSTRMND_MODEL_BASE_URL — Chat Completions base (default https://api.openai.com/v1)
  • MSTRMND_MODEL_NAME — model id (default gpt-4o-mini)
  • Doctrine: pnpm doctrine:sync then pinned doctrine.pin.json

Example (real model):

export MSTRMND_MODEL_PROVIDER=openai
export MSTRMND_MODEL_API_KEY=sk-...
pnpm hermes -- --goal "Summarize operator context"

See templates/operator-pack/mstrmnd.host.json for a full host example.

Optional iCloud Vault Map

python3 scripts/sync-vault-map.py --dry
python3 scripts/sync-vault-map.py
# Or:
bash scripts/run-icloud-map.sh

Engineering Rules

  • Keep providers replaceable.
  • Keep adapters separate from domain logic.
  • Define typed contracts before adding agents or tools.
  • Require explicit scope for memory and credentials.
  • Log every consequential tool call.
  • Use approval gates for money, deletion, publishing, external communication, and permission changes.
  • Measure cost per successful outcome, not token volume alone.
  • Do not create autonomous behavior without evaluation and revocation paths.
  • Prefer substantive implementation over placeholder package trees.

Status

Current state: Operator Zero intelligence layer — context packs, workspace mounts (list/read/stat plus policy-gated writes: draft → human approval → publish), Hermes orchestrator (parent + workspace-scout sub-agent), shared runtime factory, MCP plugin tools, operator-pack template, doctrine pin. Model providers: echo (CI default) and openai / openai-compatible.

Hermes/MCP (@mstrmnd/intelligence-core) and eve OS (mstrmnd-os) are two runtimes until a later adapter. Plugin SDK / onboarding template wait until Operator Zero can run a model-proposed parent loop (writes behind approval are landed).

Deferred: PRESS / editorial governance; un-gated workspace writes; plugin SDK before writes + plan.

Agents: read docs/MASTER.md before planning or coding. The status stamp there is the source of Next.

Architecture Specification

python -m pip install reportlab
python scripts/generate_arch_spec.py \
  --output /tmp/MSTRMND_Core_Technical_Architecture_Specification.pdf

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Open personal intelligence infrastructure. A user-owned memory, identity, and creative intelligence layer powered by autonomous agents and MCP.

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