Infrastructure for running and governing AI agents in production.
Build workflows, connect your tools and knowledge, inspect every run, and keep people in control — on your own infrastructure.
Get started · Website · Documentation · Templates
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Describe a workflow or compose it on the canvas. Combine agents, deterministic steps, reusable skills, and company knowledge. |
Coordinate specialist agents, call MCP tools and APIs, and run independent tasks in parallel with explicit data flow. |
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Deploy with Docker Compose or Kubernetes. Start workflows through APIs, schedules, events, or chat, with retries and error handling. |
Follow live runs, inspect tool calls and model responses, and track tokens, latency, errors, and costs in one place. |
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Test prompts and agents, compare model outputs, and use saved evaluation results to refine how your systems behave. |
Pause for human review and resume after a decision. Manage credentials, guardrails, team permissions, and single sign-on. |
- Heym Core — The runtime and visual editor where engineers build, run, debug, and govern agentic systems.
- Heym Work — Your team's AI workspace. Describe jobs, work from shared pages, review agent actions, and follow results, powered by Heym Core.
- Knowledge assistants grounded in your documents and internal data.
- Research teams that coordinate specialist agents and combine their findings.
- Operations workflows for lead intake, document processing, and approvals.
- AI backends exposed through REST APIs, streaming, MCP, or chat.
- Deploy your first instance and run a workflow on your infrastructure.
- Explore workflow templates for a starting point you can adapt.
- Watch the product tour to see Heym in action.
Questions or ideas? Find us on Discord, start a Discussion, or reach us at [email protected].