WorkGraph
The system of record for autonomous engineering work: objective, agents, dependencies, tool calls, files, commits, risks, approvals, and proof state.
WorkGraph records objectives, agents, dependencies, authority, tools, files, commits, checks, approvals, risks, rollback, and proof state so coding agents become an auditable engineering workforce instead of isolated task runners.
The system of record for autonomous engineering work: objective, agents, dependencies, tool calls, files, commits, risks, approvals, and proof state.
The authority layer for agent identity, branch/path ownership, execution locks, policy gates, tool permissions, escalation, and human approval.
The trust artifact for every governed run: plan, trace, checks, artifacts, risks, approvals, rollback path, reviewer checklist, and handoff state.
Adapters that treat Claude Code, Codex, OpenCode, OpenClaw, Hermes, and future agents as swappable workers under one control plane.
Permissioned access to GitHub, CI, Linear/Jira, Slack, Kubernetes, Terraform, observability, documents, browser, and internal systems.
Persistent doctrine, repo conventions, incident history, failed attempts, proof templates, policy decisions, and reusable execution heuristics.
The WorkGraph is not chat history. It is the operational ledger for work ownership, dependencies, side effects, policy decisions, and proof-backed handoff.
The objective or task exists, but no agent has authority yet.
One agent owns a task/path/branch scope for a bounded time and purpose.
Policy, conflict, missing context, failed check, or approval requirement stops progress.
Required checks, review, receipts, and risk classification are complete.
A human must approve PR handoff, merge, deployment, rollback, or escalation.
A newer run or decision replaced this task, artifact, commit, or recommendation.
Each sample workload is a way to demonstrate governance, coordination, verification, proof, and approval. The product remains the governed workforce substrate.
A sample proof workload: diagnose, patch, verify, review, packetize, and ask a human to approve.
A product issue becomes a scoped WorkGraph with checks, risks, rollback, and reviewer-ready evidence.
A finding is routed through policy-aware remediation, regression checks, and approval gates.
A production signal becomes diagnosis, proposed fix, rollback path, and escalation evidence.
A package change is assessed, implemented, tested, and summarized with compatibility risk.
A regression is profiled, improved, benchmarked, reviewed, and handed off with rollback notes.