AI-native one-person company builders
Orchestrate every role — not just coding (market, content, ops, customer service, engineering) into one end-to-end workflow.
Agent Workflow Orchestration
Turn your goal into a reusable task flow, and let an active scheduler drive a team of AI agents to execute it — parallel, isolated, observable, and convergent. Not a one-off run: define a Flow once and reuse it flexibly with execution parameters, across every role of your one-person company. You orchestrate the work; ClawsomeFlow keeps it under control.
One Platform. Infinite Possibilities.
Who should try it?
If you're building with agents as an engineering system — not a one-off demo — this is your lane.
Orchestrate every role — not just coding (market, content, ops, customer service, engineering) into one end-to-end workflow.
Multiple agents that plan, implement, verify and converge like a real team — not just more chat windows.
Founders and operators who systematically delegate repeatable work to orchestrated agent teams.
One person steering many specialized agents to continuously amplify output — with clear guardrails, observability, and rollback.
Engineering-minded folks who want predictable behavior, controllable cost, and rollback guardrails — not prompt self-scheduling.
Define a Flow once, drive it with runtime parameters, and get the same convergent result again and again — not one-off runs.
Specialized agents developing in parallel across isolated local branches, then converging safely into one deliverable.
Core highlights
ClawsomeFlow turns scattered AI agents into a controllable engineering system — from the first instruction to the final, reviewable result.
Define flows, create agents, orchestrate tasks, and step in at runtime — all by describing what you want. No glue code, no SDK wrangling.
Control flow lives in code, not in a prompt. A scheduler decides dispatch, retry, timeout and convergence — so behavior is predictable and tokens aren't wasted.
Lay out your work as a DAG and let multiple agents collaborate in parallel. A leader summarizes and converges the results into one deliverable.
Built on Git worktree isolation with a built-in cross-process repo lock, ensuring absolute reliability of all agent collaboration behaviors; supports intelligent merge and rollback, plus optional human checkpoints for in-flight course correction.
Every dispatch, completion and failure is recorded as an event. Each run is traceable, replayable and reviewable — no black boxes.
Not happy with a result? File a complaint and the system reflects, reworks, and writes the lesson back — so the next run is better than the last.
A more flexible way to collaborate on software projects: every subtask receives upstream worktree and branch context, so plain language can direct cross-branch merges or PRs.
What sets it apart
Two things set ClawsomeFlow apart from other agent tools.
Define a Flow once, reuse it with runtime parameters — stable, convergent, and auditable every time, not a one-off task.
Beyond coding: orchestrate market, content, ops, customer service, and engineering into one end-to-end, reusable workflow.
How it works
You stay in charge of the goal. ClawsomeFlow handles the coordination, the parallelism, and the recovery when things go wrong.
Tell ClawsomeFlow what you want in plain language, or compose a Flow visually as a graph of tasks and dependencies.
The scheduler actively dispatches ready tasks to the right agents, each in its own isolated workspace, and drives them to completion.
Follow every step live. Retry, skip or abort with clear strategies, and approve results at human checkpoints before anything lands.
A leader merges the parallel work into one reviewed deliverable — and the run history stays fully auditable.
Works with your agents
Plug in popular CLI agents and let them collaborate in the same graph — no custom SDK required.
Quick start
Install the CLI (Linux / macOS)
curl -fsSL https://clawsomeflow.com/install.sh | bash