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Your repo holds the agent's identity, configuration, secrets, and runtime data. The framework and the agent's state are cleanly separated, so framework upgrades never overwrite your agent's personality or operational history.\n\nMaestro uses Claude Code as its reasoning engine and integrates with Slack, Gmail, Google Calendar, WhatsApp, SMS, and 25+ MCP-connected services. Agents run 24/7 on a dedicated Mac mini, polling for events, reasoning about incoming information, executing tasks autonomously, and maintaining persistent memory across sessions. They send messages, draft documents, follow up on open loops, spawn parallel sub-agents for complex work, and produce branded PDFs and media assets.\n\nThe package provides: framework scripts (poller, daemon, triggers, hooks, PDF and media generation), 34 agent definitions with mandates and prompts, workflow templates across daily/weekly/monthly/quarterly cadences, operational skills as a Claude Code plugin, slash commands for agent setup, macOS launchd configuration, and comprehensive documentation and runbooks.\n\n---\n\n## What's new in 1.17.0\n\nThe Hermes integration lands four workstreams that make an agent easier to install, truly real-time across channels, self-improving, and unbreakable. Each is additive — existing agents keep their behaviour until they run `maestro setup` (or activate a gated channel).\n\n| Workstream | What it does | How to get it |\n|---------|-------------|----------|\n| **WS1 — Setup wizard** | `maestro setup` replaces the LLM-driven `/init-maestro` markdown prompt with a deterministic, resumable, self-verifying wizard. Runs as ordered sections (identity → company → model → comms → tools → operating-model → enrich → learning → recovery → verify), checkpoints to `state/setup/progress.json`, and ends with a live capability probe. `config/agent.json` is the sole source of truth. | `maestro setup` (see [docs/guides/setup-wizard.md](docs/guides/setup-wizard.md)). |\n| **WS2 — Real-time messaging + Telegram** | One unified `MessageEvent` contract + `BaseAdapter` so Slack / Gmail / WhatsApp / SMS / Voice / **Telegram** all speak the same path — DMs, channels, threads, reactions, media. New grammY Telegram adapter (long-poll, in-daemon), full Slack Socket Mode coverage (reactions, thread context, opt-in channel CC), typing heartbeats, and default-deny DM pairing. | `maestro setup comms`; Telegram gated by `config/telegram.yaml` (see [docs/guides/telegram-setup.md](docs/guides/telegram-setup.md)). |\n| **WS3 — Self-learning loop** | A closed loop that autonomously authors and improves Claude Code skills from its own sessions, and recalls past sessions verbatim. A Stop-hook reviewer distils each session, may create/patch a skill (secret-scanned, audited), and a `skill-curator` cadence ages skills `active → stale → archived`. | `maestro setup learning`; tuned via `config/learning.yaml`. |\n| **WS4 — Resource governance + never-brick recovery** | Autonomous work survives reboot/power-outage and the agent degrades gracefully under load instead of bricking itself. A resource governor gates every spawn (`ADMIT`/`QUEUE`/`DEFER`), a rate-guard breaker and budget-guard cap protect spend, and the memory watchdog throttles/restarts instead of writing `.emergency-stop`. | `maestro setup recovery`; tuned via `config/recovery.yaml` (see [docs/runbooks/recovery-and-failover.md](docs/runbooks/recovery-and-failover.md)). |\n\n---\n\n## Quick Start\n\n```bash\nnpx @adaptic/maestro create jacob-ai\ncd jacob-ai\nmaestro setup        # deterministic, resumable wizard; validates + self-verifies\n```\n\n### Prerequisites\n\n| Dependency        | Install                                                    | Purpose                        |\n|-------------------|------------------------------------------------------------|--------------------------------|\n| Node.js 20+      | `brew install node`                                        | Runtime for poller, triggers   |\n| Claude CLI        | `npm install -g @anthropic-ai/claude-code`                 | Agent reasoning engine         |\n| jq                | `brew install jq`                                          | Used by hook scripts           |\n| Pandoc + MacTeX   | `brew install pandoc && brew install --cask mactex-no-gui` | PDF generation (optional)      |\n| Anthropic API key | Set `ANTHROPIC_API_KEY` env var                            | Required for Claude CLI        |\n\n---\n\n## What the Package Provides\n\nWhen you run `npx @adaptic/maestro create <name>`, the following framework files are copied into your new agent repo:\n\n| Directory                | Description                                                                 |\n|--------------------------|-----------------------------------------------------------------------------|\n| `scripts/`               | Poller, daemon, trigger runner, hooks, PDF generation, media generation, setup scripts, healthcheck, emergency stop |\n| `agents/`                | 34 specialist agent definitions with mandates, responsibilities, and prompts |\n| `workflows/`             | Workflow templates: continuous, daily, weekly, monthly, quarterly cadences   |\n| `policies/`              | Action classification, information barriers, prompt injection defence        |\n| `plugins/maestro-skills/`| Operational skills plugin for Claude Code (memory, comms, queue management)  |\n| `.claude/commands/`      | Slash commands; `/init-maestro` + `/init-agent` remain as deprecated, manual LLM-driven fallbacks to `maestro setup` |\n| `.claude/settings.json`  | Project-level Claude Code hooks and permissions                              |\n| `schedules/`             | Trigger prompt templates for launchd-scheduled sessions                      |\n| `teams/`                 | Agent team compositions and coordination definitions                         |\n| `docs/`                  | Architecture docs, governance policies, runbooks, workflow documentation      |\n| `public/assets/`         | Brand SVG assets (icon and logo, dark and light variants)                    |\n| `desktop-control/`       | macOS app control profiles for desktop automation                            |\n| `scaffold/`              | Template files for agent-specific config (CLAUDE.md, config/agent.json + generated config/agent.ts wrapper) |\n\n---\n\n## What Lives in the Agent Repo (Not in the Package)\n\nThese files are specific to your agent and are never overwritten by framework upgrades:\n\n| File / Directory         | Purpose                                                          |\n|--------------------------|------------------------------------------------------------------|\n| `CLAUDE.md`              | The agent's behavioural charter -- identity, principles, communication rules, operating modes |\n| `config/agent.json`      | Structured identity data and **sole source of truth**: name, title, email, archetype, schedule, communication style |\n| `config/agent.ts`        | Generated typed wrapper that re-exports `config/agent.json` (do not edit by hand) |\n| `config/contacts.yaml`   | Key relationships and communication permissions                  |\n| `config/priorities.yaml` | Strategic focus areas and milestones                             |\n| `config/environment.yaml`| System-level settings: paths, scheduling, secrets references     |\n| `.env`                   | API keys and credentials (never committed to git)                |\n| `knowledge/`             | Sources, syntheses, entities, decisions, and memory              |\n| `memory/`                | Interaction history, user and channel profiles, precedents       |\n| `state/`                 | Queues, inbox, dashboards, polling cursors, locks                |\n| `logs/`                  | Audit trails, polling logs, workflow logs, session logs           |\n| `outputs/`               | Briefs, memos, drafts, research, and generated deliverables      |\n\n---\n\n## CLI Reference\n\n### `npx @adaptic/maestro create <name>`\n\nScaffolds a new agent repository. This command:\n\n1. Creates the target directory\n2. Copies all framework files (scripts, agents, workflows, policies, plugins, docs)\n3. Copies scaffold templates (CLAUDE.md, the `config/agent.json` stub, and the generated `config/agent.ts` wrapper)\n4. Copies `.claude/` directory (settings and commands)\n5. Creates 57 agent-specific directories (config, knowledge, memory, state, logs, outputs, self-optimization, tests)\n6. Generates 53 operational template files (16 queues, 10 dashboards, 13 configs, 9 knowledge schemas, 5 self-optimization)\n7. Generates a `package.json` with all required scripts and dependencies\n8. Copies `.env.example` and `.gitignore`\n9. Initializes a git repository\n10. Runs `npm install`\n\nAfter `create`, run `maestro setup` to configure the agent's identity and bring it online. The wizard is deterministic and resumable — it checkpoints to `state/setup/progress.json`, and on re-run it re-detects each section from disk (`config/agent.json` is the source of truth, the checkpoint is just a hint) and continues at the first incomplete section. Run a single area with `maestro setup <section>` (e.g. `maestro setup comms`), and drive it non-interactively in CI with `maestro setup --headless --answers file.json`. See [The Setup Wizard](#setup-wizard-maestro-setup) below.\n\n### `npx @adaptic/maestro upgrade`\n\nUpdates framework files in an existing agent repo. This command copies the latest versions of:\n\n- `scripts/` -- poller, daemon, hooks, PDF generation, setup scripts, **cadence bus enqueue + consumer + wrapper**\n- `lib/` -- shared framework primitives (singleton lock, **cadence bus**, action executor, tool definitions)\n- `policies/` -- action classification, information barriers, prompt injection defence\n- `docs/` -- architecture, governance, runbooks\n- `public/assets/` -- brand assets\n- `workflows/`, `schedules/`, `teams/`, `desktop-control/`, `ingest/`, `mcp/`\n- `.claude/commands/` -- slash commands\n- `plugins/maestro-skills/` -- operational skills\n- `agents/` -- new agents are added, existing ones preserved (no deletions)\n\nIt also creates any missing directories from the expanded directory set, including `state/cadence-bus/{inbox,claimed,processed,failed,dlq}` and `logs/cadence-bus/`.\n\n**Cadence-bus migration (1.8+):** `upgrade` automatically migrates legacy spawn-per-tick launchd plists:\n\n1. Detects generated plists at `scripts/local-triggers/plists/` that still call `run-trigger.sh` directly.\n2. Backs them up to `.maestro/backup/plists/<utc-timestamp>/`.\n3. Regenerates them via `scripts/local-triggers/generate-plists.sh` so they invoke the lightweight cadence enqueue script instead.\n4. Surfaces any installed plists at `~/Library/LaunchAgents/ai.maestro.*` (and legacy `ai.adaptic.*`) that still match the legacy pattern, with exact `launchctl unload && launchctl load` commands the operator can run to roll the live job.\n\nThe migration is idempotent — a second `upgrade` run on a fully-migrated repo is a clean no-op.\n\nAgent-specific files (`config/`, `CLAUDE.md`, `knowledge/`, `memory/`, `state/`, `logs/`, `outputs/`, `.env`) are never touched.\n\n### `npx @adaptic/maestro doctor`\n\nVerifies the agent installation end-to-end. Checks include:\n\n- **Framework files:** `config/agent.json` (the source of truth) with its generated `config/agent.ts` wrapper as a secondary check, `CLAUDE.md`, `.claude/settings.json`, `package.json`, `scripts/setup/init-agent.sh`, `scripts/healthcheck.sh`, `scripts/daemon/maestro-daemon.mjs`, `scripts/local-triggers/generate-plists.sh`.\n- **Cadence bus (1.8+):** `lib/cadence-bus.mjs`, `scripts/cadence/enqueue-cadence-tick.mjs`, `scripts/cadence/launchd-cadence-wrapper.sh`, `scripts/daemon/cadence-consumer.mjs`, `scripts/daemon/cadence-handlers.mjs`, plus the `state/cadence-bus/{inbox,claimed,processed,failed,dlq}` directory tree.\n- **Plist architecture:** every generated plist at `scripts/local-triggers/plists/` carries the `maestro-plist-arch: cadence-bus` marker, and NO plist still calls `run-trigger.sh` directly. Installed plists under `~/Library/LaunchAgents/ai.maestro.*` (and legacy `ai.adaptic.*`) are spot-checked too; doctor prints the exact `launchctl unload && launchctl load` commands to migrate any stragglers.\n- **Daemon heartbeat:** `state/cadence-bus/health.json` is fresh (under 60s) when the daemon is running.\n- **Smoke test:** doctor enqueues a `cadence-bus-heartbeat` tick to confirm the producer side works end-to-end.\n- **Config:** `config/environment.yaml`, `config/contacts.yaml`, `config/priorities.yaml`, `config/sla-defaults.yaml`.\n- **State:** `state/dashboards/executive-summary.yaml`, `state/queues/action-stack.yaml`, `knowledge/decisions/decision-schema.yaml`.\n- **Environment:** `.env` file with `ANTHROPIC_API_KEY` (required), `SLACK_USER_TOKEN`, `GMAIL_APP_PASSWORD` (optional).\n- **Dependencies:** `node_modules` installed, Claude CLI available, jq available, emergency-stop script present.\n\nDoctor exits non-zero when issues are found and prints actionable remediation (most commonly: `npx @adaptic/maestro upgrade`). Doctor also verifies the collective-memory wiring (see below).\n\n### `npx @adaptic/maestro global-setup`\n\nWires the **Collective Memory & Org Mesh** into the machine-wide Claude Code config (`~/.claude`) so *every* Claude Code session on the machine — not just daemon sessions — contributes to and recalls from this agent's long-term memory, and is aware of concurrent sessions. Idempotent and **additive**: it deep-merges four hooks into `~/.claude/settings.json` (never clobbering existing hooks/plugins, with a timestamped backup), writes a delimited block into `~/.claude/CLAUDE.md`, and writes a `~/.claude/maestro-agent.json` pointer. Run automatically by `init-agent.sh` and by `wundr install`; safe to re-run. `--dry-run` previews. See [Collective Memory & Org Mesh](#collective-memory--org-mesh).\n\n---\n\n## Updating the Framework\n\n```bash\nnpm update @adaptic/maestro   # Get the latest version from npm\nnpm run upgrade               # Copy updated framework files into your repo\ngit diff                      # Review what changed\ngit add -A && git commit -m \"Upgrade maestro framework\"\n```\n\nThe `upgrade` command only updates framework infrastructure: scripts, policies, documentation, brand assets, commands, and plugins. It never modifies your agent's identity (`CLAUDE.md`, `config/agent.json`), configuration (`config/*.yaml`), secrets (`.env`), or runtime data (`knowledge/`, `memory/`, `state/`, `logs/`, `outputs/`). Your agent's personality, relationships, and operational history remain intact. `upgrade` also auto-migrates a legacy standalone `config/agent.ts` into the unified `config/agent.json` + generated wrapper.\n\n---\n\n## Setup Wizard (`maestro setup`)\n\nAfter scaffolding, run `maestro setup` to configure your agent. Unlike the old `/init-maestro` markdown prompt (which handed the whole job to an LLM), `maestro setup` is a **deterministic, resumable, self-verifying** wizard: Node code drives the mechanical orchestration, and the LLM is invoked only as a bounded enrichment function for company-specific prose. It runs as a registry of ordered **sections**, each of which can `detect` its own state, `apply` idempotently, and `verify` itself:\n\n| Section | Order | What it does |\n|---------|-------|-------------|\n| **identity** | 10 | Agent name/title, **function × altitude** archetype, principal — writes `config/agent.json` (the source of truth). |\n| **company** | 20 | Company-context interview (name, website, industry, overview, stage, footprint, priorities, key people) → `config/company.json`. |\n| **model** | 30 | Model/provider selection — Claude Code subscription (keychain OAuth) or an Anthropic API key. Writes the model section of `.env`. |\n| **comms** | 45 | Wires each messaging channel — Slack, Gmail, SMS, WhatsApp, **Telegram**, voice — writing credentials to `.env`/gate files and verifying inbound. (WS2) |\n| **tools** | 50 | Selects channels + MCP servers the agent should run. |\n| **operating-model** | 60 | Deterministically generates the operating charter, seeded WBS backlog (≥5 open), **40–60 sub-agents + skills + workflows + MCP servers + event-routing**, archetype cadences, autonomy policy, communication profile, and launchd plists. |\n| **enrich** | 70 | Spawns one bounded `claude --print` per enrichment unit to fill enumerated prose slots (persona, responsibilities, principles, company description, charter/backlog company-slots). Output is strict JSON, validated; invalid → skeleton kept, field marked `pending`. |\n| **learning** | 80 | Enables the self-learning loop and seeds counters/DB. (WS3) |\n| **recovery** | 85 | Installs the watchdog/governor and verifies recovery behaviour. (WS4) |\n| **verify** | 90 | Runs the live capability probe (Claude API + each enabled channel/MCP) and prints an `N/M` capability table with a remedy line per failure. |\n\nSections register by dropping a file into `lib/setup/sections/` (globbed and sorted by `order`), so WS2/WS3/WS4 add `comms`/`learning`/`recovery` without touching the core runner.\n\n**Flags:**\n\n```\nmaestro setup [section] [--resume] [--from <id>] [--only <ids>] [--status]\n                        [--headless] [--answers <file.json>] [--no-enrich] [--dry-run]\n```\n\n- `--resume` — continue from the checkpoint (default when one exists); re-`detect`s every section from disk, so the on-disk source of truth is authoritative.\n- `--from <id>` / `--only <id,id,…>` — start at a section / run only those sections (forced, even if complete).\n- `--status` — print each section's `detect()` status and exit.\n- `--headless` + `--answers <file.json>` — never prompt; take pre-supplied answers from a JSON file (CI / scripted runs).\n- `--no-enrich` — skip LLM enrichment and leave the deterministic skeletons in place.\n- `--dry-run` — print what would run and write nothing.\n\nThe wizard exits non-zero only on **hard** failures (no identity, an unresolvable archetype, or the Claude API being unreachable); optional channels and best-effort enrichment are reported but non-fatal. `maestro upgrade` auto-migrates a legacy standalone `config/agent.ts` into the unified `config/agent.json` model, and `claude \"/init-maestro\"` remains as a manual LLM-driven fallback.\n\nSee [The Setup Wizard](docs/guides/setup-wizard.md) for the full walkthrough and [docs/guides/agent-persona-setup.md](docs/guides/agent-persona-setup.md) for the persona configuration guide, including archetype defaults, Control Tower selection, contact classification, and manual fine-tuning.\n\n---\n\n## Company context\n\nMaestro generates each agent's charter, backlog, capabilities, and communications\nfrom **your company's context** — nothing is hardcoded to any one company. Provide\nthat context three ways during the `company` section of `maestro setup` (and refresh\nit any time by re-running the generators):\n\n1. **A CLI interview** — name, website, industry, a one-line + detailed overview,\n   stage/size, where you operate, regulation, top priorities, key people, and\n   competitors. This populates `config/company.json` (the company source of truth).\n2. **A `docs/company-context/` folder** — drop in markdown describing the company\n   (overview, strategy, products, org chart, market, regulatory, brand voice, key\n   relationships). The wizard reads them all and folds them in. See\n   [`docs/company-context/README.md`](docs/company-context/README.md) for the\n   suggested file list.\n3. **GitHub repos on your machine** — point the wizard at local repos; it reads each\n   one's README, manifest, structure, and recent commits for product/technical context.\n\nFrom these, init writes `config/company.json` + `docs/company/overview.md` (via\n`scripts/setup/generate-company.mjs`), and the charter / backlog / comms generators\nplus the CLAUDE.md \"Company Context\" section build on them. Framework prompts reference\nthe company through `{{company.*}}` tokens resolved at load time — so the package ships\ncompany-agnostic and renders to *your* company.\n\n---\n\n## Required Services and API Keys\n\n| Service          | Purpose                            | Required?   | Signup URL                                | Tier / Pricing                    |\n|------------------|------------------------------------|-------------|-------------------------------------------|-----------------------------------|\n| Anthropic API    | Primary reasoning engine (Claude)  | Required    | https://console.anthropic.com             | Pay-per-token or Max subscription |\n| Slack            | Team communication                 | Required    | https://api.slack.com/apps                | Free (workspace needed)           |\n| Gmail            | Email monitoring and sending       | Required    | https://myaccount.google.com/apppasswords | Google Workspace or free Gmail    |\n| Google Calendar  | Meeting and schedule awareness     | Recommended | Via Google Workspace                      | Same account as Gmail             |\n| Google Drive     | Document sharing                   | Recommended | Via Google Workspace                      | Same account as Gmail             |\n| OpenAI           | Supplemental model access          | Optional    | https://platform.openai.com              | Pay-per-token                     |\n| Google Gemini    | Media generation (images, video)   | Optional    | https://aistudio.google.com              | Free tier available               |\n| Twilio           | SMS, voice, and WhatsApp           | Optional    | https://www.twilio.com                   | Pay-as-you-go (~$1/mo + usage)    |\n| Deepgram         | Speech-to-text transcription       | Optional    | https://deepgram.com                     | Free tier (200 hrs/yr)            |\n| ElevenLabs       | Text-to-speech voice synthesis     | Optional    | https://elevenlabs.io                    | Free tier available               |\n| Greptile         | Codebase search and indexing       | Optional    | https://greptile.com                     | Free tier available               |\n\nAdditional services are available via MCP servers and can be configured separately. Supported integrations include Airtable, Linear, Figma, Notion, Jira, Calendly, and more.\n\n### Environment Variables\n\nThe `maestro setup` wizard creates the `.env` file (the `comms` and `model` sections write the relevant credentials) and walks you through filling them in. Key variables:\n\n```bash\n# Core\nANTHROPIC_API_KEY=sk-ant-...\n\n# Communication channels\nSLACK_USER_TOKEN=xoxp-...\nSLACK_BOT_TOKEN=xoxb-...\nSLACK_SIGNING_SECRET=...\n\n# Gmail\nGMAIL_CLIENT_ID=...\nGMAIL_CLIENT_SECRET=...\nGMAIL_REFRESH_TOKEN=...\n\n# Google Calendar\nGCAL_CLIENT_ID=...\nGCAL_CLIENT_SECRET=...\nGCAL_REFRESH_TOKEN=...\n\n# Twilio (SMS/Phone/WhatsApp)\nTWILIO_ACCOUNT_SID=...\nTWILIO_AUTH_TOKEN=...\nTWILIO_PHONE_NUMBER=...\n\n# Telegram (grammY long-poll, opt-in — gated by config/telegram.yaml)\nTELEGRAM_BOT_TOKEN=123456789:ABC...\n\n# Media generation\nGEMINI_API_KEY=...\n```\n\n---\n\n## Architecture\n\n```\n┌─────────────────────────────────────────────────────┐\n│                   Your Agent                        │\n│              Executive Cortex (Tier 0)              │\n├──────────┬──────────┬──────────┬──────────┬─────────┤\n│ Briefing │ Strategic│ Domain   │ Comms    │ Task    │\n│          │ Planning │ Ops      │ Gov.     │ Exec.   │\n│ (Tier 1) │ (Tier 1) │ (Tier 1) │ (Tier 1) │(Tier 1)│\n├──────────┴──────────┴──────────┴──────────┴─────────┤\n│              20+ Specialist Agents (Tier 2)         │\n│  Research · Product · Engineering · Legal · Ops ·   │\n│  Finance · Partnerships · Hiring · Market Intel ·   │\n│  Board Prep · Compliance · Writing · ...            │\n├─────────────────────────────────────────────────────┤\n│              Desktop Operations (Tier 3)            │\n│  Slack · Gmail · WhatsApp · Browser · Calendar      │\n├─────────────────────────────────────────────────────┤\n│              Governance & Memory (Tier 4)           │\n│  Decision Log · Risk Register · Knowledge Base      │\n└─────────────────────────────────────────────────────┘\n```\n\n**Tier 0 -- Executive Cortex:** The agent's core identity and reasoning loop. Reads dashboards, processes inbound events, makes decisions, and orchestrates lower tiers.\n\n**Tier 1 -- Domain Controllers:** Specialised reasoning modules for briefing, strategic planning, domain operations, communications governance, and task execution.\n\n**Tier 2 -- Specialist Agents:** 20+ sub-agents that can be spawned in parallel for focused work -- research, document drafting, code review, legal analysis, hiring pipelines, and more.\n\n**Tier 3 -- Desktop Operations:** Integrations with external services via MCP servers, APIs, and local tooling. Slack, Gmail, Google Calendar, WhatsApp, SMS, browser automation.\n\n**Tier 4 -- Governance & Memory:** Persistent state layer. Decision logs, risk registers, knowledge bases, interaction history, queue management, and audit trails.\n\n### Operating Modes\n\nAll Maestro agents operate in three concurrent modes:\n\n**Mode 1: Reactive** -- The nervous system. A lightweight poller checks Slack, Gmail, and Calendar every 60 seconds. An inbox processor classifies and routes incoming items every 5 minutes. Priority events trigger immediate processing.\n\n**Mode 2: Scheduled** -- The heartbeat. Daily morning brief, midday sweep, evening wrap. Weekly strategic memo, pipeline review, execution review. Monthly board readiness, risk refresh. Quarterly self-assessment and board pack. All scheduled via macOS launchd; cadence ticks flow through the cadence bus (see below) and are serviced by the persistent daemon, NOT by spawning a fresh Claude Code session per tick.\n\n**Mode 3: Proactive** -- The engine. The backlog executor runs every 10 minutes, reads all queues, selects the top actionable items by priority, and spawns parallel agents to execute them. Items move continuously from `open` to `in_progress` to `resolved` to `closed`.\n\n### Cadence Bus\n\nScheduled cadence ticks (every 5 / 10 / 15 / 30 minutes, daily, weekly, monthly, quarterly) are decoupled from Claude Code via a local file-backed event bus at `state/cadence-bus/`:\n\n```\nlaunchd ──► scripts/cadence/enqueue-cadence-tick.mjs (≈10 ms, no Claude)\n                       │\n                       ▼\n            state/cadence-bus/inbox/<event>.json\n                       │\n                       ▼\n       maestro-daemon.mjs ──► cadence-consumer.mjs (single persistent owner)\n                       │\n                ┌──────┴──────┐\n                ▼             ▼\n            inline       sub-session\n        (housekeeping)  (substantive work)\n```\n\n**Why this matters.** The previous architecture spawned a fresh `claude --print` session per cadence tick — dozens of full Claude Code spawns per day, each paying full auth/context/token overhead even when the tick had nothing to do. The cadence bus:\n\n- Routes every tick through ONE persistent main session (the daemon).\n- Handles lightweight ticks **inline** (no Claude spawned) — heartbeats, housekeeping, queue sweeps with cheap pre-checks.\n- Only spawns a sub-session when the cadence genuinely warrants isolated work: substantive drafting, multi-step outreach, large audits, research, work requiring separate context/audit boundaries.\n- Honours `.emergency-stop` at both producer and consumer.\n- Is safe if the daemon is briefly down — events accumulate in `inbox/` and drain on next startup.\n- Records the full lifecycle (received → claimed → processed | escalated | failed | dlq) under `logs/cadence-bus/<date>.jsonl`.\n\nPer-cadence policy lives in `scripts/daemon/cadence-handlers.mjs`:\n\n- **inline** — handler runs entirely in-process (e.g. heartbeat, stale-claim sweep).\n- **guarded** — cheap pre-check (queues empty? inbox empty?); only escalates if there's substantive work.\n- **escalate** — spawns a sub-session running the cadence's trigger prompt under `schedules/triggers/<name>.md`.\n\nSee `docs/runbooks/perpetual-operations.md` for ops procedures.\n\n### Self-Learning Loop\n\nThe agent improves itself between sessions. A detached Stop-hook reviewer reads each finished transcript and, in a second pass, may author or patch a Claude Code skill capturing a repeatable procedure — every write is secret-scanned and audited to `logs/audit/skills.jsonl`, and a `skill-curator` cadence ages skills `active → stale → archived` so nothing junky accumulates. It also indexes every session into a private FTS5 store, so the agent can recall its own past work verbatim via the `session-search` skill. The loop is fully autonomous, fail-open, and tuned through `config/learning.yaml`.\n\n---\n\n## Collective Memory & Org Mesh\n\nA cross-session, cross-agent coherence layer so a senior operator — human or AI —\nalways has *global consciousness of everything happening elsewhere*, without\ncontext bloat. Three pillars, all enabled by `npx @adaptic/maestro global-setup`\n(run automatically at install). Full design: [docs/architecture/collective-memory-and-org-mesh.md](docs/architecture/collective-memory-and-org-mesh.md).\n\n1. **Collective memory.** Every Claude Code session on the machine distils its\n   salient takeaways — decisions, facts, artifacts, open loops, entities — into\n   small **memory cards** (`memory/collective/`, indexed by the existing FTS5 RAG).\n   Capture is async, distilled by a cheap model, and *never stores raw transcripts*.\n   At session start a **hard token-budgeted digest** (default 1500 tokens; the\n   anti-bloat control) is injected: top cards ranked by relevance × recency × salience,\n   MMR-deduped. Pull more anytime with `node scripts/collective/recall.mjs \"<query>\"`\n   or the `rag_search` tool.\n\n2. **Presence.** A file-backed heartbeat registry (`state/collective/presence/`)\n   gives every session a one-line view of the other sessions running right now\n   (\"2 other sessions active — daemon: inbox triage (3m); ~/openclaw: interactive\").\n   See it with `node scripts/collective/who.mjs`.\n\n3. **Org mesh.** Each agent publishes a directory entry (role, archetype, towers,\n   live backlog focus, presence) to `state/org/` — file-backed by default, with an\n   optional **neolith API** client (`org.neolith` in `config/collective.yaml`) for a\n   live cross-machine registry. Agents hand work to each other with a structured\n   **`maestro-handoff` envelope sent over the existing Slack/email channels**, so\n   humans see every handoff (observability by construction); the receiving daemon\n   enqueues it as a provenance-tagged task. A daily `org-pulse` cadence posts\n   \"what every agent is focused on\" to a human channel.\n\nConfigure via `config/collective.yaml` (enable/disable, capture model, digest token\nbudget, recency half-life, repo **denylist** for ring-fenced work, presence timing,\nand the org/neolith source). Everything is opt-out and fail-open — it never blocks a\nsession, and ring-fenced repos never contribute memory or receive the digest.\n\n---\n\n## Auto-Publishing\n\nPushes to the `main` branch of the Maestro repository automatically publish to npm via GitHub Actions. Version bumps are handled automatically -- patch versions for fixes and minor changes, minor versions for new features. You do not need to manually publish or manage versions. When a new version is available, agent repos pick it up with `npm update @adaptic/maestro`.\n\n---\n\n## Agent Roster (Example)\n\nMaestro supports deploying any number of agents, each on its own Mac mini with a distinct role and domain focus:\n\n| Agent   | Role                        | Archetype            | Repo              |\n|---------|-----------------------------|----------------------|--------------------|\n| Ava     | Chief of Staff              | executive-operator   | yourco/ava-ai      |\n| Noah    | Chief AI Scientist          | technical-leader     | yourco/noah-ai     |\n| Mia     | Head of Engineering         | technical-leader     | yourco/mia-ai      |\n| Liam    | Head of Compliance          | compliance-officer   | yourco/liam-ai     |\n| Emma    | Head of Product             | product-leader       | yourco/emma-ai     |\n| Owen    | Head of Investor Relations  | commercial-leader    | yourco/owen-ai     |\n| Zoe     | Head of Operations          | operations-leader    | yourco/zoe-ai      |\n| Ethan   | Head of Quant Engineering   | technical-leader     | yourco/ethan-ai    |\n\nEach agent gets its own identity, operating principles, communication style, contact graph, priority stack, and specialist sub-agents -- all configured through the `maestro setup` wizard.\n\n---\n\n## Tool Library (`lib/`)\n\nMaestro provides a comprehensive library of 30 reusable tools that agents can use during voice conversations, huddles, and autonomous operations. Tools are scoped by access level and executed via the Claude API `tool_use` protocol.\n\n### Categories\n\n| Category | Tools | Description |\n|----------|-------|-------------|\n| **Communication** | `slack_send`, `draft_email`, `whatsapp_send`, `sms_send` | Send messages across all channels |\n| **Search / RAG** | `search_email`, `search_calendar`, `search_files`, `search_meetings`, `search_slack`, `search_web`, `search_documents` | Real-time lookup via MCP-backed queries |\n| **Knowledge** | `search_decisions`, `lookup_person`, `search_regulatory`, `search_strategy`, `search_precedents` | Institutional memory and governance |\n| **Operations** | `queue_update`, `create_action_item`, `schedule_meeting`, `create_reminder` | Operational queue and calendar management |\n| **Analysis** | `search_financial`, `search_pipeline`, `search_engineering`, `search_hiring`, `search_risk` | Cross-functional health and pipeline data |\n| **Documents** | `generate_memo`, `generate_report` | Branded document generation |\n\n### Usage\n\n```js\nimport { getToolsForAccessLevel, executeAction } from \"@adaptic/maestro\";\n\n// Get tools for a Claude API call\nconst tools = getToolsForAccessLevel(\"ceo\"); // 29 tools\nconst tools = getToolsForAccessLevel(\"leadership\"); // 24 tools (no WhatsApp/SMS/memo)\nconst tools = getToolsForAccessLevel(\"default\"); // 17 tools (search/lookup only)\nconst tools = getToolsForAccessLevel(\"voice\"); // 16 tools (voice surface)\n\n// Execute a tool call from Claude's response\nconst result = await executeAction(\"search_email\", { query: \"DFSA update\" }, callerInfo, sessionId);\n```\n\n### RAG Architecture\n\nLookup tools use `claude --print --model haiku` under the hood, which leverages the agent's Max subscription and all configured MCP servers (Gmail, Calendar, Slack, filesystem, Granola, etc.). This means every agent automatically gets search capabilities across all connected services without additional API costs.\n\n### Agent-Specific Tools\n\nThe legacy \"Sub-agent 8\" step is retired. The `operating-model` section of `maestro setup` runs deterministic generators that produce the 40–60 role-specific sub-agents, skills, and workflows from the agent's archetype and responsibilities. These extend the base set — e.g., a compliance officer gets `licence_gap_check` and `regulatory_submission_status`, while an engineering leader gets `code_review_trigger` and `deployment_status`.\n\n## Global vs Agent-Specific Features\n\nWhen building new capabilities, decide where they belong:\n\n| Push to `~/maestro` (global) | Keep agent-local |\n|-----|-----|\n| Role-agnostic tools any agent could use | Identity-specific configurations |\n| Communication primitives | Domain tools only this role needs |\n| Search/RAG capabilities | Custom MCP integrations for one agent |\n| Operational patterns | Hardcoded contacts, channels, API keys |\n| Infrastructure (audio, CDP, polling) | Agent-specific prompts and style |\n| Document generation templates | Workflow overrides |\n| Claude Code skills/plugins for dev experience | |\n| Governance patterns | |\n\n**Decision rule:** Would another agent at your company ever need this? **YES** → `~/maestro`. **NO** → agent repo only.\n\nAfter pushing to maestro: bump version → commit → push. Agent repos update via `npm update @adaptic/maestro`.\n\n---\n\n## Security and Governance\n\n- **Secrets management** -- All credentials via environment variables, never committed to the repository\n- **Full audit trail** -- Every action, communication, and decision is logged to `logs/`\n- **Approval policies** -- Outbound communications require appropriate approval levels based on risk classification\n- **Emergency stop** -- `npm run emergency-stop` halts all autonomous operations immediately\n- **Default-deny** -- Unclassified actions are blocked; only explicitly permitted actions proceed\n- **Rate limiting** -- Configurable limits on all communication channels (default: 3,000 sends/hour, 20,000/day)\n- **Prompt injection defence** -- 5-layer defence system: identity lock, sender privilege model, message classification, content isolation, anomaly detection\n- **Information barriers** -- Dynamic disclosure assessment prevents confidential information from crossing recipient boundaries\n- **Session logging** -- Every agent session is logged with start time, actions taken, and outcomes\n- **Communication governance** -- Pre-send audit hook gates all outbound Slack and Gmail; duplicate detection prevents replying to the same thread multiple times\n\nSecurity policies are defined in `policies/` and `docs/governance/`.\n\n### Resource Governance & Never-Brick Recovery\n\nAutonomous work is designed to survive reboot and power loss, and the agent degrades gracefully under load rather than bricking itself. A resource governor (`lib/resource-governor.mjs`) gates every Claude Code spawn — `ADMIT`/`QUEUE`/`DEFER` based on live memory, load, and process pressure — while a rate-guard breaker and a daily budget-guard cap protect spend; deferral never burns an item's retry budget. The only thing that *permanently* stops an agent is a human writing `.emergency-stop`: the memory watchdog throttles or cleanly restarts the daemon instead of writing it on OOM, and in-flight sessions are reconciled and resumed after a crash. Tune it via `config/recovery.yaml`; see [docs/runbooks/recovery-and-failover.md](docs/runbooks/recovery-and-failover.md).\n\n---\n\n## Key Documentation\n\n### Setup Guides\n\n- [Setup Wizard](docs/guides/setup-wizard.md) -- `maestro setup`: sections, resume/checkpoint, source of truth, enrichment, verify probe, all flags\n- [Agent Persona Setup](docs/guides/agent-persona-setup.md) -- Identity, operating charter, and behavioural policies\n- [Email Setup](docs/guides/email-setup.md) -- Gmail IMAP polling, SMTP sending, thread dedup, signatures\n- [Slack Setup](docs/guides/slack-setup.md) -- Slack app, tokens, sending, typing indicators, events, CDP\n- [WhatsApp Setup](docs/guides/whatsapp-setup.md) -- Twilio WhatsApp sandbox/production, webhook handler\n- [Telegram Setup](docs/guides/telegram-setup.md) -- grammY long-poll in-daemon, BotFather token, DM pairing, event mapping\n- [Voice & SMS Setup](docs/guides/voice-sms-setup.md) -- Twilio SMS, Slack huddle voice, Deepgram STT, ElevenLabs TTS\n- [Poller & Daemon Setup](docs/guides/poller-daemon-setup.md) -- Event polling, reactive daemon, triggers, watchdog\n- [Outbound Governance Setup](docs/guides/outbound-governance-setup.md) -- Hooks, dedup, information barriers, disclosure\n- [RAG & Context Setup](docs/guides/rag-context-setup.md) -- SQLite FTS5 search, pre-draft context, entity indexing\n- [PDF Generation Setup](docs/guides/pdf-generation-setup.md) -- Pandoc + XeLaTeX branded document generation\n- [Media Generation Setup](docs/guides/media-generation-setup.md) -- Gemini/Veo image and video generation\n- [Claude-Mem Setup](docs/guides/claude-mem-setup.md) -- Persistent session memory with semantic recall\n- [Claude-Pace Setup](docs/guides/claude-pace-setup.md) -- Real-time rate limit tracking and burn rate awareness\n- [ccxray Diagnostics](docs/guides/ccxray-diagnostics.md) -- Token/cost analysis and session debugging\n- [Claudraband Sessions](docs/guides/claudraband-sessions.md) -- Persistent sessions, daemon mode, HTTP API\n- [ClawTeam Swarm](docs/guides/clawteam-swarm.md) -- Multi-agent coding swarm orchestration via git worktrees\n- [Agents Observe](docs/guides/agents-observe-setup.md) -- Real-time multi-agent observability dashboard\n- [Code-Review-Graph](docs/guides/code-review-graph-setup.md) -- Tree-sitter structural knowledge graph for codebases\n- [Self-Optimization Pattern](docs/guides/self-optimization-pattern.md) -- AutoAgent-inspired benchmark-driven self-improvement\n\n### Architecture & Governance\n\n- [System Architecture](docs/architecture/system-architecture.md) -- Full system design and component overview\n- [Agent Topology](docs/architecture/agent-topology.md) -- Sub-agent hierarchy and delegation model\n- [Action Approval Model](docs/governance/action-approval-model.md) -- Communication governance and approval levels\n- [Communications Policy](docs/governance/communications-policy.md) -- Voice modes, autonomy model, escalation rules\n\n### Dev Tooling\n\nApproved third-party tools for agent development and observability. Install with:\n\n```bash\n./scripts/setup/install-dev-tools.sh --all\n```\n\n| Tool | Purpose | Install |\n|------|---------|---------|\n| **claude-pace** | Rate limit status line tracker | `--tool claude-pace` |\n| **agents-observe** | Multi-agent observability dashboard | `--tool agents-observe` |\n| **ccxray** | Token/cost observability proxy | `--tool ccxray` |\n| **ClawTeam** | Git worktree swarm orchestrator | `--tool clawteam` |\n| **code-review-graph** | Tree-sitter codebase knowledge graph | `--tool code-review-graph` |\n\n### Cross-Agent Message Routing\n\nWhen multiple agents monitor the same Slack channels, the daemon classifier uses `config/known-agents.json` to prevent cross-agent message interception. If a message @-mentions a specific agent, only that agent's daemon will respond. Update this file when agents are added or removed.\n\n### Runbooks\n\n- [Mac Mini Bootstrap](docs/runbooks/mac-mini-bootstrap.md) -- Hardware setup and initial configuration\n- [Perpetual Operations](docs/runbooks/perpetual-operations.md) -- Keeping the agent running 24/7\n- [Recovery and Failover](docs/runbooks/recovery-and-failover.md) -- Disaster recovery procedures\n\n---\n\nBuilt by [Adaptic.ai](https://adaptic.ai)\n","readmeFilename":"README.md"}