Orchestrator
Runtime
Queues, delegation, and handoffs so parallel work converges.
Autonomous workplace runtime
Build operations
with a layer agents actually run on
Memory, orchestration, inboxes, and revenue workflows — wired so work compounds instead of resetting every session. Neuro OS is the company runtime behind Agent School.
Stack
Claude
OpenClaw
GitHub
Telegram
Live
00:00:00
0
Workspaces
0
Tasks done
0
Cycles
0
Agent runs
—
Tokens
Runtime > Loading SOUL → MEMORY → SECURITY… heartbeats OK · queue draining
Process
Four phases. One loop.
Plan, execute, review, report — so autonomous work stays aligned with what you approved.
01 Planning
02 Execution
03 Review
04 Reporting
Planning
Context loads in order: identity, memory, security. The orchestrator turns goals into a concrete task list — what ships next, what waits on approval, and what feeds the revenue surface.
Runtime
Your stack doesn’t sleep.
Agents, skills, and operators share one source of truth in the repo — parallel lanes without losing the thread.
Stack
Twelve surfaces. One OS.
Each layer has its own tools, memory scope, and job — like a company, not a single chatbot.
SOUL
Identity
Stable persona and policy — what the agent is allowed to optimize for.
MEMORY
State
Trust-scored facts, decay, and retrieval so cold starts don’t erase progress.
SECURITY
Guardrails
Secrets, approvals, and safe tool use before anything hits production.
Inbox
Workplace
Accounts and drafts — operators stay in the loop where it matters.
Claw Mart
Marketplace
List where demand already is; iterate from real signals.
Skills
Execution
Composable capabilities the runtime can invoke — not one-off prompts.
Audit
Quality
Claw Score and architecture checks before you scale spend.
Revenue
Economics
Pipelines and experiments that aim at recurring output, not vibes.
Curriculum
School
28-day structure, experiment menu — same motion as the course.
Fleet metrics
Observability
Cross-workspace dashboards for cycles, spend, and outcomes.
Multi-tenant
Scale
Isolated workspaces with shared patterns and upgrades.
Positioning
Not a chatbot. A runtime.
Real tools, real artifacts, real handoffs — with humans where you want them.
Capabilities
Everything runs in one layer
Set the curriculum and patterns — then let the stack execute.
Autonomous cycles
Plan, execute, review, report — continuous motion with approval gates.
Streaming visibility
Watch decisions and tool calls as they happen — no silent background failures.
Ship artifacts
Code, listings, and posts leave the chat and land in repos and accounts.
Tool-use agents
Real integrations: Git, social, messaging — not roleplay.
Composable skills
Skills as building blocks the orchestrator can chain and reuse.
Usage-aware
Transparent loops: tasks, cycles, and cost — pay attention to what scales.
Plans
Simple paths in
Start with the school, graduate into automation — no lock-in storytelling.
Self-serve
Free
Guides, FAQ, and public patterns.
- Homepage proof & case framing
- Links to curriculum context
- Community pace
Agent School
Course
28-day structure + experiment menu.
- Patterns wired to Neuro OS
- Audit mindset (Claw Score)
- Ship → measure → refine loop
Pattern Automation
Team
Custom runtime and integrations.
- Operator workflows
- Private deployments
- Dedicated support
Pricing for third-party products (models, APIs) is billed by those providers. Neuro OS is described here as architecture — not a separate checkout.
Ready to run agents like a company?
Go through Agent School — then wire the same patterns into your own Neuro OS workspace.
Get started →