im-knots/ea-monorepo

An AI agent workflow engine designed for scale

22
/ 100
Experimental

This project helps operations engineers and platform architects build and manage complex AI-driven workflows at scale. It allows you to define AI agent workflows using a low-code/no-code interface, integrating models like ChatGPT, Grok, Claude, and Gemini, along with custom APIs. The platform then takes these workflow definitions and runs them across a distributed infrastructure, outputting executed agent jobs and their results. It's designed for those who need to orchestrate multiple AI agents and external services for high-volume, real-time operations.

No commits in the last 6 months.

Use this if you need to build, deploy, and scale sophisticated AI agent workflows that interact with multiple large language models and third-party APIs.

Not ideal if you are a data scientist looking for an AI model training framework, or if you only need to run simple, single-agent tasks without distributed execution.

AI-workflow-orchestration distributed-systems operations-engineering cloud-infrastructure AI-agent-management
Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 4 / 25
Maturity 16 / 25
Community 0 / 25

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Stars

7

Forks

Language

Go

License

MIT

Last pushed

May 30, 2025

Commits (30d)

0

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