Flow Agents
Structured workflows for coding agents. Flow Agents helps Codex, Claude Code, Kiro, and CI agents keep work inspectable from idea to release readiness.
How It Works
flowchart LR
Idea[Idea]
Backlog[Backlog]
Plan[Plan]
Build[Build]
Review[Review]
Verify[Verify]
Evidence[Evidence]
Release[Release readiness]
Learn[Learning]
Idea --> Backlog --> Plan --> Build --> Review --> Verify --> Evidence --> Release --> Learn
Review -->|finding| Build
Verify -->|gap| Build
Evidence -->|not verified| Plan
Flow Agents adds the operating layer around the model: skills choose the right workflow, sidecars preserve state, hooks catch stop-short behavior, and evals keep the bundle honest as it changes.
Quick Start
Install into a workspace:
bash install.sh /path/to/workspace
Then ask for the workflow you want:
Use deliver for this GitHub issue. Plan it, implement it, review it, verify it, and stop if evidence is missing.
For bugs:
Use fix-bug. Reproduce the problem, diagnose root cause, implement the fix, and verify the regression path.
Use Cases
Guided Delivery
Move from request to plan, implementation, review, verification, evidence, release readiness, and learning.
Developer Architecture
Understand Flow Agents' coordination role, product boundaries, artifact flow, and cross-product vocabulary.
Repository Structure
Find the canonical source, generated output, runtime state, package, docs, eval, and cleanup boundaries.
Release Notes
Review repository cleanup, runtime hook, CI, and release-readiness changes.
Workflow Map
See the core skills, gates, artifacts, and route-back behavior.
Safer Execution
Choose local, worktree, container, cloud, or privileged execution boundaries deliberately.
Governance Evidence
Attach optional Veritas readiness reports without making governance tooling mandatory.
Developer Reference
Inspect the generated repo map, commands, agents, skills, scripts, and contracts.
Resource Contracts
Read the shared resource shape for durable workflow state and sidecars.
Eval Strategy
Understand how static, integration, behavioral, and artifact evals validate the bundle.
Artifact Lifecycle
Check in reviewable change work while promoting completed behavior into durable docs before merge.
Provider Adapters
Map provider-neutral work items, boards, published changes, checks, and evidence to GitHub-first adapters.
Why It Matters
Long-running agent work fails when the model loses context, skips verification, or calls partial work done. Flow Agents makes the process explicit without making the user write a perfect prompt every time. The agent gets a workflow; the developer gets artifacts they can inspect.