Selected for GitHub's Secure Open Source Fund. See how it's shaping the future of AI agent security.

Learn more

Multi-Agent Harness

Author once. Run anywhere. See everything.

The Multi-Agent Harness authors, executes, and monitors agent workflows across the providers, frameworks, and harnesses you already use. Teams expand AI capabilities faster, without giving up cost, policy, ownership, or the freedom to change vendors.

One workflow

planner · retriever · analyst · executor · critic

The Multi-Agent Harness

Author · Execute · Monitor

Your stack

Any model · Any provider · Any framework

Coordinates what you already run. It never replaces it.

01 · Author

Compose from what you already have

A workflow is assembled from known agents, tools, and skills across vendors, with roles and budgets attached from the first draft.

  • Across vendors

    Compose one workflow from agents built by different teams, on different frameworks, against different providers.

  • Roles, not rewrites

    Give each agent a role (planner, retriever, analyst, executor, critic) and pick the right model per role.

  • Reuse everything

    Agents, tools, skills, and whole workflows are discoverable and reusable. Compose from what exists.

  • Governed from line one

    Policies and budgets attach while you author, so a workflow is born governed, not retrofitted.

  • Cost known before launch

    Simulate what a workflow will spend before it runs once, and plan the budget to match.

  • Versions compared

    Put two versions of a workflow side by side on cost before choosing which one ships.

02 · Execute

One run across every boundary

Coordinate specialized agents from different vendors as a single workflow, with providers switchable, context continuous, and policy enforced the whole way.

  1. 01 · Coordinate

    Specialists, one workflow.

    Agents from different vendors and teams execute as one coordinated flow, inside your enterprise context, on your systems.

  2. 02 · Switch

    Providers are a choice, not a commitment.

    Model and inference providers switch per workflow, with fallback routing when one degrades. Capacity problems stop being your problems.

  3. 03 · Continue

    Context survives every step.

    State and context carry across handoffs, steps, and environments, so the workflow's tenth step knows what its first step learned.

  4. 04 · Govern

    Policy rides along.

    Orchestration is cost-, budget-, and policy-aware, allowlists are honored at execution, and access to tools, data, and memory stays controlled.

03 · Monitor

One trace across every vendor

A workflow that crosses providers still reads as one story: every hop visible, every cost located, every slowdown explained.

  • Everything visible

    Every hop, on the trace.

    Tool calls, memory reads, retrievals, handoffs, retries, and loops: the whole workflow is one trace, across every vendor in it.

  • Bottlenecks found

    The slow step names itself.

    Bottleneck and expensive-agent detection points at the exact node costing you time or money. No log spelunking.

  • Cost, located

    Spend by node, role, and path.

    See what each agent role costs, what each path through the workflow costs, and what retries and loops add on top.

  • Explained

    Answers, not dashboards.

    “Why did this cost so much?” and “why did this fail or slow down?” get direct answers from the trace itself.

The whole loop

compose → forecast → execute → trace → find the expensive step → compare cost vs outcome

04 · No lock-in

Connect, don't rewrite

The harness coordinates and governs what your teams already built. It never asks you to replace a framework, a provider, or a system that works.

  • Any model provider

    Workflows span model providers and switch between them, so the workflow outlives any one vendor choice.

  • Any inference provider

    Run against the inference capacity you choose, and change that choice without touching the workflow.

  • Any framework

    Agents keep the frameworks your teams already chose. The harness coordinates them. It doesn't ask for a rewrite.

  • Your systems

    Tools, data, memory, and enterprise systems connect with controlled access. Your infrastructure stays yours.

05 · Guarantees

What the Harness holds itself to

Five commitments, each one visible in the product, so trusting the harness never means taking its word for it.

  • Authored across vendors

    Workflows that span providers and frameworks are the point, not the exception, and how many do is a number you can see.

  • Failover that works

    Provider switches and fallbacks are handled events with a success record, not incidents with a postmortem.

  • Bottlenecks surfaced

    Expensive and slow nodes are identified with the trace to prove it, so optimization starts from evidence.

  • Cost versus outcome, visible

    Every workflow is measured on what it spends against what it delivers, and on latency and eval quality alongside.

  • No lock-in, ever

    Portability is a requirement, not a feature flag: no commitment to a single provider, harness, or framework survives contact with this product.