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.
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.
curl -fsSL https://clawsomeflow.com/install.sh | bash
DAG Flow
orchestrate your whole agent team
N agents
working in parallel, in isolation
100%
traceable, replayable runs
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.
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.
Observability you can audit
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.
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? Scan the QR code to join our WeChat discussion group.
