The Execution & Orchestration Harness
The execution harness that turns LLMs into reliable workers.
Stop wrestling with tool-calling failures and context windows. We build the orchestration layer that gives your AI agents memory, tools, and a heartbeat.
🚀 127 stars on GitHub
What We Actually Build
The Trinity
Three core capabilities that make AI agents production-ready.
Agentic Loops
Think. Act. Observe.
We handle the infinite loop so your agent never gets stuck or hallucinates off-topic.
Memory & State
Remember. Recall. Resume.
Short-term context windows and long-term vector recall. Your agent picks up exactly where it left off.
Tool Routing
Parse. Execute. Return.
We intercept the LLM's tool calls, run them securely, and feed the results back—errors and all.
The Proof
Architecture
Orchestrator
The Harness Core
OpenAI / Anthropic / Local
Vector DB
Error Handling & Logging
This is our default architecture. We customize it for your use case—whether it's a single agent or a swarm.
The Transparency
Public Roadmap
We have a plan. We are in this for the long haul.
The Mission
We are builders, not consultants.
Open by default
We share our code, our failures, and our learnings.
Dogfooding
We use our own harness to build our own CI/CD.
Reliability over hype
We don't chase shiny models. We make existing models work consistently.
Ready to stop fighting your AI agents?
FAQ
Frequently Asked Questions
Do I need to rewrite my entire codebase?
No. Our harness is designed to sit alongside your existing services. It integrates via REST or gRPC.
Which LLMs do you support?
OpenAI, Anthropic, Google Gemini, and any local model via Ollama/Llama.cpp.
Is this open-source?
Yes. The core harness is MIT-licensed. Enterprise features are source-available.
Can I self-host it?
Absolutely. We provide Docker images and Helm charts for Kubernetes.
How much does it cost?
The open-source core is free. Enterprise support and custom tooling are available.