agentflow
Agentflow
Agentflow is a supervised local runtime for long-running coding work. Humans author a graph with intent and outcome boundaries; Codex CLI or Cursor CLI executes substantial nodes; the supervisor records bounded interventions; terminal runs produce a delivery package.
Must Know
More from koji98/agentflow
agentflow-plugins
Use when creating, reviewing, resolving, or consuming Agentflow plugin workflows or plugin-bundled CLI tools, including workflow manifests, lockfiles, tool config, and credential policy.
7agentflow-evals
Use when designing, validating, running, inspecting, or improving Agentflow eval suites, scenarios, variants, criteria, environment simulation, trajectory checks, trace packets, scorecards, benchmark reports, prompt-pack experiments, dogfood workflow-quality evals, capability-workflow local repo evals, or pinned real-world GitHub issue evals.
3agentflow-run-debugging
Inspect, explain, and debug Agentflow runs. Use when a run failed, resumed unexpectedly, or needs artifact-level diagnosis; when tracing state.json, events.jsonl, execution logs, context packets, or execution artifacts; or when deciding why passed work did or did not preserve on resume.
3agentflow-graph-authoring
Design, review, and refine Agentflow execution graphs. Use when authoring or editing Agentflow graph JSON, choosing between primitive nodes and managed workflows, or checking topology, profiles, context flow, outputs, and validation against the shipped runtime contract.
3agentflow-managed-workflows
Author and review Agentflow managed workflows. Use when choosing between deep_research, spec_design, execute_spec, and review_change, or when filling their brief, context_policy, approval_policy, strategy, delivery, and runtime fields.
3agentflow-grill-me
Use when the user wants to be grilled, interviewed, pressure-tested, or questioned before creating an Agentflow plan, graph, workflow, feature design, or implementation plan.
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