The coordination layer: graph-aware conflict detection and role contracts over a tropo knowledge graph.
Project description
@vivary/exo
Status: working (first slice — read-only coordination). The optional, outermost layer.
The coordination layer — the exosphere. Engaged only when one agent becomes many. exo does not run agents (that's the harness / the loops skill) — it reasons about coordination over the shared tropo graph and hands workers their role contracts. It reads the graph in-process (one graph, no fork) and is read-only, deterministic, zero-dependency.
Most workspaces never need this. Single-agent workspaces stop at tropo + strato.
Commands
python exo.py conflicts --root <workspace> # who would collide
python exo.py board --root <workspace> # what's in flight
python exo.py roles # the bounded worker contracts
conflicts— amongactivework items (changes withstatus: active), flags pairs that share an outbound target (two in-flight changes touching the same module / verification / gate). The graph's collision signal — the coordination hazard a task list can't show.board— work items grouped bystatus(and@assigneeif the workspace declares one). The "what's in flight" surface.roles— strato's role grammar as bounded contracts: Orchestrator · Scout · Researcher · Builder · Verifier · Reviewer · Archivist. Workers get a bounded contract; they never become product owners.
Design
- Reuses tropo in-process (like ozone) — no second state store, no new schema.
- Coordination state is graph-native: it uses the existing
statusfield (active= in flight). Becausetropo checkis strict, exo does not write undeclared fields. - Deferred (next slice):
exo claim <id> --agent <name>to set a claim. Writing anassigneecleanly needs an opt-in coordination field declaration, so it's a follow-up rather than something that bloats every workspace's schema.
Requirements
Python 3.11+. Loads the sibling packages/tropo/tropo.py engine in-process (no pip
install needed in the repo); packaged builds depend on the tropo package.
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