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Coa Lab

At Coa Lab we are building control software for generative AI powered applications and agents.

Currently, we are building CoAgent, is an end-to-end AI agent evolution system.

About Us

Coa Lab is a team of software and distributed systems engineers who have spent multiple decades of individual experience developing large scale Network Security, SIEM, Service Mesh, Simulation, Multi-Modal Deep Learning, Autonomous Drones, Distributed Storage Software.

For the past 6 years we have been building a next generation distributed streaming engine and stream processing system. For context in order for OpenAI to deliver ChatGPT in production they need distributed streaming and compute like Kafka, Flink, Ray.

After the first 2 years of seeing the state of generative AI applications and agents it was obvious to us that we need to contribute our software, infrastructure, and operations rigour to help develop consistent, reliable, explainable, and AI apps.

CoAgent

CoAgent : a comprehensive AI agent evolution system designed to facilitate the entire lifecycle of AI agents from development, deployment, operation and continuous improvement.

Key Features

  • End-to-End Development: Integrates with existing pythonic tooling for building AI agents from the ground up
  • Evolution System: Mechanisms for tracing and testing AI agents to learn and improve over time
  • Scalable Architecture: Built to handle agents at any scale, from prototype to production
  • Integration Ready: Seamless integration with modern development workflows and tools

What Makes CoAgent Different

CoAgent focuses on Generative AI operations and continuous improvement.

CoAgent enables:

  • Production-ready deployment infrastructure
  • Observable and controllable agent evolution
  • Rapid prototyping and iteration of agent behaviors
  • Comprehensive monitoring and debugging capabilities
  • Continuous learning and adaptation based on real-world interactions

Community

We believe in building together. Whether you're interested in contributing to our projects, using CoAgent in your work, or collaborating on research, we welcome your participation.

Resources

  • GitHub Organization: github.com/coa-dev
  • Documentation: Check individual repositories for detailed documentation

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  1. try-coagent try-coagent Public

    CoAgent can help you assess, test, and monitor AI models and agents

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  2. .github .github Public

    Coa Lab Public Repo

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