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The control plane for agentic ETL and workflows.
Deploy, observe, and govern every agentic workflow your business runs on.

Deploy each workflow in Python or from your favorite skill.
Make your own code workflows checkpointed, retryable, and repeatable.
Inspect every run and set the rules it operates under.

Illustrated example: load a PDF file, visually extract key items with subagents and research competitors with web search in parallel, combine both typed results into a Word document using the DOCX skill, then email the attachment in Python. Schemas, tools, imports and service helpers are omitted. The cards show illustrative activity traces, not live agent execution or private reasoning.

Tap a step to inspect its code

@ava.workflowdef brief_flow():    return (        load()        >> (extract() & research())        >> draft()        >> publish()    )
Build with the community

From one person’s skills to your team’s workflows.

Your team already runs its work as agent skills in Claude, Codex, Hermes, OpenClaw or Grok. Those skills live on one laptop and run when someone remembers. Avalanche runs the core ones as shared workflows, the SOPs of your agentic work, with every run on record.

  1. Turn your core skills into workflows.

    Pick the skills and processes your team repeats. Work with your agent using /avalanche, or write Python. Avalanche turns each one into a workflow with defined steps, checks and checkpoints. Code you already have can be a step.

    See workflow examples
  2. Share them in one team catalog.

    Deploy with ava deploy. Every workflow lands in one catalog your whole team, and their agents, can find and run. No more skills scattered across laptops.

  3. Observe and govern every run.

    See the inputs, outputs, failures and cost of every step. Set the checks and approvals every run must pass. When a step fails, retry from that step.

    Sign up for Avalanche Cloud

Try it locally: uvx avalanche-ai@latest init · Setup guide

Agents are the interface.
Avalanche is the backend.

Everyone keeps the agent they like. Their repeatable work runs on one shared backend, under the same rules, and you see every run without going through an agent.

  1. Turn the RFP process into a workflow.

    You ask Claude once. rfp_response joins the team catalog.

    “Turn our RFP process into a workflow.” → rfp_response → Deployed to the team catalog.

  2. Sales answers more RFPs.

    Sales asks Hermes for a draft and gets one back, ready for review.

    “Draft a response to the Acme RFP.” → rfp_response → 42 answers drafted from 18 past proposals.

  3. Every team runs its own jobs.

    Ops in Grok, Marketing in OpenClaw, Engineering in Codex.

    “Screen this week's inbound decks.” → deal_screening → 37 decks scored, 6 for partner review.

  4. You approve what goes out.

    You see every run in Avalanche, without going through an agent.

    Acme RFP response needs approval. → owner_review → You approve it in Avalanche.

Workflows you can deploy, observe and govern

Repeatable work, run as governed workflows.

The same workflow runs for every input, under the same rules, with every run on record. Results land in your systems, with or without a person in the loop.

Build with Avalanche

Deploy with one command.
Run from anywhere.

Ship a workflow from your laptop with one command. Avalanche Cloud is the control plane for every workflow your team runs in production: one place to deploy, observe and govern them.

Sign up for Avalanche Cloud
From your code to every system that needs it
Bashworkflow.py
ava deploy

Avalanche Cloud

Deploy, observe and govern your workflows

  • flow_01
  • flow_02
  • flow_03
  • Google DriveSalesforceGmail
    Integrations
  • REST API
  • Webhook
  • Cron
Trampoline

Bring a business process. Build it with us.

Work with Trampoline, the team behind Avalanche, to turn repeated work into a workflow you can deploy, observe and govern.

Map the process. Connect your data and existing systems. Decide where agents do the work, where rules apply, and where people approve. We help you evaluate the results and deploy the workflow to production.

Start with one process worth repeating.

Choose a task your team does again and again. Write the steps in Python or a skill, give agents the steps that need judgment, and build from there.

01 / Documentation

Read the guides

Setup, examples and how each part of a workflow works, from your first local run to production.

Open the docs

02 / Community

Work through it together

Ask about your use case, share what you learn, and help shape Avalanche with other builders.

Join the community

03 / Avalanche Cloud

Build locally. Deploy to Cloud.

One-command deployment. Every workflow observed and governed in one control plane. Sign up for early access to our hosted platform.

Sign up for Avalanche Cloud