Multi-agent AI
built for production.
Most agent frameworks break in production. OctaClaw is the runtime that doesn't — parallel DAG execution, self-healing swarms, and full observability without the configuration overhead.
No spam · Free during beta · No credit card required
Routes to any model provider
- Anthropic Claude
- OpenAI GPT-4o
- Google Gemini
- Groq LLaMA
- Mistral AI
- xAI Grok
- Meta LLaMA
- Cohere
- Perplexity
- Together AI
What OctaClaw can do
Parallel DAG Execution
Decompose any goal into directed acyclic task graphs. Specialist agents execute concurrently across independent lanes — eliminating bottlenecks by orders of magnitude.
Universal Model Router
Route each agent to the optimal provider. One API across Anthropic, OpenAI, Gemini, Groq, and more. Swap models without changing your code.
Zero-Config Recovery
Automatic fault detection and re-instantiation. Swarms self-heal without human intervention — checkpointed states enable deterministic replay from any failure point.
Real-Time Telemetry
Every agent action, tool call, and message streamed live. Full structured traces with run IDs, diffs, and on-demand replay.
Deterministic Replay
Every swarm run is checkpointed. Replay any execution from any point — for debugging, auditing, or compliance. No black boxes.
50+ Built-in Tools
Web search, code execution, browser automation, file I/O, API calls, database queries — agents have a full toolkit out of the box.
Your swarms.
Live, in one view.
Watch every agent, task, and tool call in real time. Full observability into your swarm — without touching a single config file.
Goal Execution Map
COMPOSING TASK DAG FOR SWARM RUN
Swarm initialized successfully
Decomposed goal into 3 parallel tasks
Fetching competitor endpoints...
Constructing schema mapping...
Three steps to
autonomy.
From intent to execution in seconds — no pipelines to configure, no agents to babysit.
“Research competitors, draft a 10-page market analysis, and create an executive summary.”
Define Your Goal
Describe what you need in plain language. OctaClaw parses your intent, identifies required capabilities, and generates a structured execution plan.
Swarm Assembled
Specialist agents are instantiated with their own tools, context windows, and objectives. The orchestrator coordinates resource allocation across the swarm.
Autonomous Execution
The swarm executes in parallel, self-corrects on failure, and delivers results with full audit trails, checkpointed states, and deterministic replay.
Ship in minutes,
not weeks.
A clean, typed SDK for Python and TypeScript. Describe your goal, choose your model, and let OctaClaw handle the orchestration — from DAG planning to result delivery.
- Fully typed Python & TypeScript SDKs
- Streaming results and real-time hooks
- Built-in retry, checkpointing, and replay
- OpenTelemetry compatible trace exports
1400">import asyncio2400">from octaclaw 400">import 400">OctaClaw, 400">Swarm34400">client = 400">OctaClaw(api_key=400">os.environ[400">"OCTACLAW_KEY"])56600 italic"># Define your goal in plain language7400">result = 400">await 400">client.400">swarm.400">run(8 goal=400">"Analyze Q4 competitor landscape and"9 400">" produce an executive summary",10 model=400">"claude-3-5-sonnet-20241022",11 parallel=400">True,12 max_agents=6,13)1415600 italic"># Full telemetry available on every 400">run16400">print(f400">"✓ Completed in {400">result.elapsed_ms}ms")17400">print(f400">"✓ Agents used: {400">result.agent_count}")18400">print(400">result.summary)
Build your next AI system with OctaClaw.
No spam · Free during beta · No credit card required