Local multi-branch software teams
Ideal for engineering teams that want specialized agents developing in parallel across isolated branches, then converging safely into one deliverable.
Agent Workflow Orchestration
Make your Multi-agent Workflow Clawsome!
Turn your goal into a task flow, and let an active scheduler drive a team of AI agents to execute it — parallel, isolated, observable, and convergent. You orchestrate the work; ClawsomeFlow keeps it under control.
One Platform. Infinite Possibilities.
Who should try it?
Built for people turning AI into real execution
If you're building with agents as an engineering system — not a one-off demo — this is your lane.
AI-native company builders
A good fit for founders and operators designing AI-native organizations where repeatable execution is delegated to orchestrated agent teams.
Super-individual creators
For ambitious builders who want one person to command many specialized agents with clear guardrails, observability, and rollback.
Core highlights
Everything you need to run agents like a team
ClawsomeFlow turns scattered AI agents into a controllable engineering system — from the first instruction to the final, reviewable result.
Get it done in natural language
Define flows, create agents, orchestrate tasks, and step in at runtime — all by describing what you want. No glue code, no SDK wrangling.
Precise orchestration, not guesswork
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.
Many agents, one graph
Lay out your work as a DAG and let multiple agents collaborate in parallel. A leader summarizes and converges the results into one deliverable.
Isolation & rollback by default
Every agent runs in its own isolated workspace and branch — parallel work without cross-talk or accidental writes, with checkpoint, merge and cleanup built in.
Auditability & observability
Every dispatch, completion and failure is recorded as an event. Each run is traceable, replayable and reviewable — no black boxes.
A system that improves itself
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.
Developer mode for real codebases
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.
How it works
From a sentence to a shipped result
You stay in charge of the goal. ClawsomeFlow handles the coordination, the parallelism, and the recovery when things go wrong.
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1
Describe your goal
Tell ClawsomeFlow what you want in plain language, or compose a Flow visually as a graph of tasks and dependencies.
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2
Agents run in parallel
The scheduler actively dispatches ready tasks to the right agents, each in its own isolated workspace, and drives them to completion.
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3
Watch, steer, recover
Follow every step live. Retry, skip or abort with clear strategies, and approve results at human checkpoints before anything lands.
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4
Converge & deliver
A leader merges the parallel work into one reviewed deliverable — and the run history stays fully auditable.
Works with your agents
Bring the agents you already love
Plug in popular CLI agents and let them collaborate in the same graph — no custom SDK required.
OpenClaw
Claude Code
Codex
Cursor
Gemini CLI
Hermes
Kimi CLI
Qwen Code
OpenCode
Quick start
Up and running in one line
Install the CLI (Linux / macOS)
curl -fsSL https://clawsomeflow.com/install.sh | bash
Join the community
Let's build clawsome things together
Questions about using ClawsomeFlow, or curious about building a one-person company powered by agents? Join our Discord server or scan the QR code to join our WeChat discussion group.
