Harness the full potential of autonomous AI. Test, deploy, and manage your agents with a unified runtime that adapts to any workflow.
A complete runtime for building, testing, and deploying AI agents with confidence.
Run thousands of agents in parallel with sub-millisecond scheduling and intelligent load balancing.
Monitor every agent in real-time. Visualize performance, logs, and interactions from a single pane of glass.
Each agent runs in an isolated sandbox with fine-grained permission controls and audit logging.
Works with any agent framework — LangChain, AutoGen, CrewAI, or your custom setup. Zero lock-in.
Trigger actions on any agent lifecycle event — start, pause, error, completion, or custom signals.
Full tracing, metrics, and structured logs out of the box. Integrate with Grafana, Datadog, or any OTLP endpoint.
Go from idea to production-grade agent deployment in minutes.
Write your agent in any language or framework. Use our SDK or bring your own runtime. Just point us to the entrypoint.
# agent.config.yaml
name: my-research-agent
runtime: python3.12
entry: agent.py
tools:
- web_search
- file_read
- code_exec
Set up evaluation criteria, resource limits, and communication channels. The harness wraps your agent with production-grade infrastructure.
# harness.config.yaml
concurrency: 50
timeout: 300s
sandbox: isolated
observe:
traces: true
metrics: true
Deploy with a single command. Watch your agents execute in real-time, auto-scale based on demand, and get instant alerts.
$ harness run --watch
✓ Agent deployed (3 replicas)
✓ Observability enabled
✓ Auto-scale: 3→50
⚡ Avg latency: 42ms
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