SpielOS

The operating system for AI-run companies.

spielos.xyz · one durable Goal loop, Agent-owned Departments, approvals, evidence, and memory — all local, all on disk.

GOAL → OBSERVE → DECIDE → ACT → EVALUATE

Turn business intent into measurable Goals. The Director Agent (in OpenCode or Codex) owns the conversation; SpielOS owns the durable loop behind it: every run, work order, approval, evidence record, and memory item is persisted in a local SQLite database — never lost when a chat session ends.

Install

One line with pipx (requires Python 3.11+):

pipx install spielos && spielos init --dir my-company -y

One line with Homebrew:

brew install shayanspiel/spielos/spielos && spielos init --dir my-company -y

One line with npm (thin launcher; needs the Python package too):

npm i -g spielos && pipx install spielos && spielos init --dir my-company -y

One line with curl:

curl -fsSL https://raw.githubusercontent.com/ShayanSpiel/SpielOS/main/install.sh | sh

The chosen folder becomes a self-contained SpielOS home: the runtime spine, Director agent + host adapters for OpenCode and Codex, and empty private state. The spielos command itself is a global CLI — your company data always lives in the folder you chose.

Talk to your Director

cd my-company
opencode    # or: codex

In OpenCode: run /agents, select the Director agent, and talk to it — it already sees your company state.

In Codex: talk to the Director agent — it already sees your company state.

No manual probing, no status commands to start: the host injects a fresh, read-only company projection into every model request.

Update

pipx upgrade spielos && spielos update --dir /path/to/your/home

update refreshes only the vendored spine and host adapters; your private .spielos/ state, owner profile, memory, and user Departments are always preserved. Stale files from older releases are pruned so the home matches a fresh install exactly.

What's inside

Fresh homes start with zero Departments — add clean declarative packages only when their Goal, Workflow, Agent, Evidence, and approval contracts are ready.

Executor identity is enforced: a WorkOrder executes only for its declared agent (exact string, no aliases), claims are claim-then-complete, and work for an agent that is neither installed, nor the goal owner, nor declared by the owning Department is refused upfront and escalated to the owner instead.

Memory retrieval is topology-aware: a Goal's relevant memory carries the strategy claims of Goals it is structurally related to (same owner and metric, parent, child, or supports edge), parked asks append the workflow or goal-relevant learning they should build on, and every WorkOrder brief carries that bounded memory list so the next execution differs from the last — memory is causal, not decorative. Direct-work lessons are goal-keyed: a lesson learned completing a direct order (workflow_id NULL) reaches future direct orders of that same Goal. Strategy memory stays selective — completing a goal writes no new strategy claims; owners and evidence-backed host distillation are the only strategy writers, operational lessons are the only per-completion writes, and stale claims retire with memory retire without losing their evidence. Approvals acknowledge their answered asks, and unknown comparison operators raise instead of silently failing closed.

Useful commands:

spielos status
spielos overview
spielos context
spielos memory summary
spielos memory retire <memory_id>
spielos profile list
spielos notifications list
spielos runner tick

Development

git clone https://github.com/ShayanSpiel/SpielOS.git
cd SpielOS
PYTHONDONTWRITEBYTECODE=1 python3 -B -m unittest company.tests.test_clean_core_acceptance

• Architecture — the clean-core contract
• Website · GitHub
• MIT licensed