Infrastructure for AI agents
Everything your agents need to ship
Agent Harness
- Structured runtime for AI agents
- Define behavior, manage state, handle retries
- Predictable execution/li>
Benchmarking Suite
- Ground truth evaluation, not vibes
- Measure what agents actually do
- Reproducible, statistically rigorous results
Swarm Orchestration
- Coordinate thousands of agents in parallel
- Route tasks intelligently, aggregate results
- Observe the whole system in real time
Structured Observability
- Every action, tool call, and decision logged
- Debug failures and audit behavior
- Fully queryable at any scale
Composable Primitives
- Well-defined, reusable components
- Mix harness, bench, and swarm capabilities
- No lock-in
Model Agnostic
- Works with OpenAI, Anthropic, open-source
- Swap models without rewriting agent logic
Agent Harness
Build agents that behave like software, not magic
Production-grade from day one
Stop debugging agent behavior in production. The harness gives you the guardrails and visibility that serious deployments demand.Deterministic control flow
Define exactly when your agent calls tools, asks for input, or hands off to another agent. No surprises.
Built-in retry and fallback logic
Handle transient failures gracefully. Configure retry policies, timeouts, and fallback behaviors without boilerplate.
State management
Persistent, inspectable agent state across turns and sessions. Resume interrupted runs. Replay from any checkpoint.
Benchmarking Suite
Measure what your agents actually do
Rigor, not confidence
"It feels like it's working" isn't an evaluation strategy.
Ground truth evaluation
- Define expected outputs
- Measure how often agents hit them across models, prompts, and configurations
Regression tracking
- Know immediately when a model update or prompt change degrades performance
Comparative analysis
- Run A/B evals across models, prompting strategies, and agent architectures
- Make decisions with data
Swarm Orchestration
Thousands of agents. One coherent system.
Scale without chaos
Massive parallelism doesn't have to mean massive complexity. The swarm orchestrator handles coordination so you can focus on the work.Dynamic task routing
- Distribute work across a swarm intelligently
- Route by capability, load, or custom logic
- No manual assignment
Result aggregation
- Collect, merge, and synthesize outputs from hundreds of concurrent agents
- Produces structured results
Real-time observability
- See the whole swarm at once
- Track progress, spot bottlenecks, and intervene when needed
From prototype to production in three steps
Step 1: Wrap your agent in the harness
- Define your agent's tools, state schema, and control flow
- Execution, retries, and logging handled automatically
Step 2: Benchmark against ground truth
- Run against a curated eval set
- Measure accuracy, latency, and cost
- Establish a baseline before you ship
Step 3: Deploy to a swarm
- Scale horizontally without changing your agent code
- Orchestrator handles routing, concurrency, and aggregation
Ship with confidence
FAQs
Frequently Asked Questions
Ready to build agents
that actually work?
We are working with a small group of early teams. If you are building serious agent infrastructure, we want to talk.