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Unified interface for constructing and managing workflows on different workflow engines.

Framework for orchestrating role-playing, autonomous AI agents.

Deep cybersecurity research agent for your cloud, code and runtime. Read-only, sandboxed.

An agentic AI software engineer. opensource.

DemoGPT enables you to create quick demos by just using prompt. It applies ToT approach on Langchain documentation tree.

A lightweight Python library for building execution pipelines with retry, parallel execution, cron scheduling, and async support.

Current flagship model for agentic engineering and stronger coding workflows.

Gobii is an open-source platform for deploying and managing browser-use agents at scale with a conversational interface and API.

Specify what you want it to build, the AI asks for clarification, and then builds it.

Dev tool that writes scalable apps from scratch while the developer oversees the implementation.

A scalable general purpose micro-framework for defining dataflows.

Let AI agents message, watch, and spawn each other across terminals. Claude Code, Gemini CLI, Codex, OpenCode.

Open-source managed agent runtime for distributed AI agents.

Code for interactive simulacra of human behavior [[arxiv]](https://arxiv.org/abs/2304.03442).

Aims at simplifying the Data Science experience of deploying Kubeflow Pipelines workflows.

A framework for Claude Opus to intelligently orchestrate subagents.

Magenta's official GitHub repository.

Open-source governed shared memory for AI agent fleets with cross-agent recall, permissions, audit trails, and persistent memory.

Memory-oriented tooling for AI agents, focused on persistent context, recall, and more structured long-term memory behavior.

The Multi-Agent Framework: Given one line requirement, return PRD, design, tasks, repo.

The Multi-Agent Framework: Given one line Requirement, return PRD, Design, Tasks, Repo.

Agents Capable of Self-Editing Their Prompts / Python Code.

Generic mechanism for data scientists to build, run, and monitor ML tasks and pipelines.

Speed up your Pandas workflows by changing a single line of code.