Build A Harness
Design, test, and deploy AI agent harnesses via a visual canvas, with node library for governance, verification, and recovery, compiling to multiple frameworks.
A visual canvas for designing, testing, and deploying AI agent harnesses, which govern agent behavior, permissions, and error recovery, solving the problem of unreliable agent workflows. It targets developers and engineering teams in B2B settings, from startups to enterprises, who build AI agents. It differentiates by offering a node-based graph that compiles to multiple frameworks (LangGraph, CrewAI, Mastra, MS Agent Framework) and includes built-in observability with Langfuse, deployable as REST, MCP, or A2A.
Key features
- Visual canvas for designing harnesses
- 27 node types: 14 execution, 13 harness
- Compiles to LangGraph, CrewAI, Mastra, MS Agent Framework
- Langfuse observability for tracing decisions
- Deploy as REST endpoint, MCP tool, or A2A agent
- World model node for beliefs and contradictions
- Control state node with 5-tier resolver
- Verify gate with 9-layer verification
- Recovery strategies with 6 named strategies
- Experience store for learning and warm start
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ICP
- Software developers
- Engineering teams
- Startups