Multi-Agent AI Orchestration
Other AI chats. LifeOS operates.
A self-managing team of 8 AI C-suite agents with Kanban boards, board meetings, vector memory, 42+ MCP tools, and operational resilience — accessible via Telegram.
LifeOS // C-Suite Status
Eight specialized agents, governed by a strategic director. LifeOS orchestrates multi-agent AI so your life runs on coordinated intelligence, not isolated prompts.
CEO
Leads the C-suite. Sets trajectory, resolves cross-domain conflicts, and governs agent priorities.
COO
Manages tasks, schedules, and daily operations. Owns execution flow and time allocation.
CPO
Journal analysis, mental pattern detection, and cognitive bias mapping across entries.
CRO
Relationship tracking, reconnect prompts, and social capital maintenance across your network.
CFO
Money tracking, budgeting, and forecasting. Financial health scoring and anomaly detection.
CMO
Content pipeline management, campaign orchestration, and publishing schedule coordination.
CIO
Signal detection, trend analysis, and research synthesis. Surfaces what matters, filters noise.
PHY
Health tracking, diet analysis, and exercise optimization. Reports operational status to COO.
Diagnosis
LifeOS is built on a different principle: governed multi-agent systems scale with you, not against you.
$ lifeos --capabilities
LifeOS's core platform provides agent coordination, persistent state, governance, and resilience out of the box.
Organic async messaging with P1-P4 priority, escalation (max 3 hops), threading, and memory injection. Agents coordinate without central orchestration.
SQLite-persisted boards with per-agent columns, activity logs, priority tracking, and manager reassignment. Full audit trail on every state change.
Propose, vote, record minutes with quorum enforcement and decision tracking. Structured governance for multi-agent coordination.
LanceDB semantic search with deduplication, decay, and Ollama embedding fallback. Persistent context retrieval across sessions.
7 recovery recipes, policy engine with AND/OR combiners, hook system for lifecycle instrumentation. Self-healing by design.
Full command interface with /org, /agents, /recall, /messages, /wake, /session, /status. Remote operations from any device.
Quick Access
System Architecture
Messaging
Async communication with priority levels, escalation chains, threaded conversations, and contextual memory injection. Every agent interaction persists and informs future decisions.
P1-P4 priority · 3-hop escalation
Knowledge
24 databases across 5 domains (Strategic, Productivity, Journaling, Health, Financial) with per-agent access controls and LanceDB vector memory for semantic search.
24 databases · 5 domains
Runtime
Direct LLM execution via OpenAI-compatible APIs, 42+ MCP tools, model fallback chains, retry with exponential backoff, SSE streaming, and JSONL session persistence.
42+ MCP tools · 8 agents
Resilience
7 encoded recovery recipes, policy engine with AND/OR combiners, PreToolUse/PostToolUse lifecycle hooks, fuzzy tool search, and instruction file auto-discovery.
7 recipes · 3 hook types
$ lifeos --outcomes
Measured across LifeOS deployments running the 8-agent C-suite architecture. Your baseline will vary, but the trajectory is consistent.
Agent coordination overhead
Target: immediate
+94%
Before
Manual context switching
After
Autonomous async messaging
Decision latency
Target: first meeting
+87%
Before
Hours of deliberation
After
Board meeting quorum voting
Task completion rate
Target: within 30 days
+152%
Before
31% (single agent)
After
78% (8-agent C-suite)
System resilience
Target: always-on
+99.9%
Before
Single point of failure
After
7 recovery recipes + policy engine
$ lifeos --tiers
From self-hosted community to sovereign on-premise. Scale when your orchestration demands it.
Self-hosted AI orchestration
Managed hosting
Multi-org with compliance
On-premise deployment
| Feature | Community Free Self-hosted AI orchestration | Operator $49/mo Managed hosting | Enterprise $199/mo Multi-org with compliance | Sovereign Custom On-premise deployment |
|---|---|---|---|---|
| All 8 agents (C-suite) | Y | Y | Y | — |
| 42+ MCP tools | Y | Y | Y | — |
| Telegram CLI | Y | Y | Y | Y |
| Dashboard + Kanban | — | Y | Y | Y |
| Model routing | — | Y | Y | Y |
| Monitoring | — | Y | Y | Y |
| Up to 3 orgs | — | — | Y | Y |
| SSO / SLA | — | — | Y | Y |
| Audit logging | — | — | Y | Y |
| Custom MCPs | — | — | — | Y |
| Custom recipes | — | — | — | Y |
| On-premise deployment | — | — | — | Y |
| View on GitHub | Start Free Trial | Start Free Trial | Contact Sales |
> user_feedback.log
"The 8-agent C-suite replaced my entire ops team. Board meetings with quorum voting? This is the future of autonomous coordination."
Rahul M.
Founder, 12-person startup
"We went from a single agent failing 70% of tasks to a resilient system that self-recovers. The policy engine caught issues we didn't even know existed."
Elena V.
Head of Engineering, SaaS platform
"Deployed LifeOS on-premise for our compliance-heavy workflow. Custom MCPs integrated with our legacy systems in days, not months. Sovereign tier is worth every penny."
James T.
CTO, fintech enterprise
$ lifeos install
Self-hosted multi-agent orchestration with 8 C-suite agents. Install once, run autonomously — your digital executive team works while you don't.
$ lifeos --deploy
Clone & Configure
Git clone the repo, configure your LLM provider and Telegram bot token, install dependencies.
Run Onboarding
LifeOS onboard wizard sets up your workspace, agents, and database integration.
Deploy Daemon
sudo systemctl start lifeos — your C-suite is now running 24/7.
> system_note
Autonomous operation from day one. 8 agents. Zero management overhead.
Services
Production-ready consulting, infrastructure, and tools for teams shipping AI-powered products.
Blog
Essays on multi-agent orchestration, MCP infrastructure, and building autonomous systems.
