Axonius / crews-controlLinks
Crews Control is an abstraction layer on top of crewAI, designed to facilitate the creation and execution of AI-driven projects without writing code. By defining an execution.yaml file, users can orchestrate AI crews to accomplish complex tasks using predefined or custom tools.
☆36Updated 6 months ago
Alternatives and similar repositories for crews-control
Users that are interested in crews-control are comparing it to the libraries listed below
Sorting:
- An open source code of the GitHub Copilot Workspace☆11Updated last year
- A powerful AI observability framework that provides comprehensive insights into agent interactions across platforms, enabling developers …☆103Updated 7 months ago
- A platform for building configurable, database-backed generative AI agentic assistants.☆25Updated 10 months ago
- Example LangGraph flow that does "competitor analysis" on the web.☆37Updated last year
- This implementation follows the official MCP specification, including proper message framing, transport layer implementation, and complet…☆55Updated last year
- Agile Agents (A2) is an open-source framework for the creation and deployment of serverless intelligent agents using public and private c…☆30Updated last year
- Sample solution to automate tedious regulatory compliance processes using multi-agent systems☆22Updated 8 months ago
- 🌟DataTonic : A Data-Capable AGI-style Agent Builder of Agents , that creates swarms , runs commands and securely processes and creates d…☆91Updated 5 months ago
- A unified agent orchestration hub that lets you configure and manage multiple AI agents (native, ACP, AGUI, Claude Code) via YAML, and ex…☆41Updated this week
- Public policy multi-agent research with CrewAI☆66Updated last year
- The first platform designed to empower organizations by automating and enhancing their employment processes through advanced autonomous a…☆44Updated last year
- This repository will contain projects on multi-agent applications using frameworks such as crewai, langchain, gradio, hugging face etc.☆24Updated last year
- Structured outputs from DSPy and Jinja2☆26Updated 6 months ago
- Welcome to FluidAPI, it's a framework that allows you to interact with APIs using natural language. No more JSON, headers, or complex for…☆32Updated 2 months ago
- A radically simple, reliable, and high performance template to enable you to quickly get set up building multi-agent applications☆39Updated 3 weeks ago
- 𝙏𝙪𝙧𝙣𝙞𝙣𝙜 𝙨𝙢𝙖𝙡𝙡 𝙩𝙖𝙨𝙠 𝙙𝙚𝙨𝙘𝙧𝙞𝙥𝙩𝙞𝙤𝙣𝙨 𝙞𝙣𝙩𝙤 𝙢𝙚𝙜𝙖 𝙥𝙧𝙤𝙢𝙥𝙩𝙨 𝙖𝙪𝙩𝙤𝙢𝙖𝙜𝙞𝙘𝙖𝙡𝙡𝙮.☆90Updated last year
- The Ragie python client☆55Updated this week
- Display PDFs in your RAG app☆21Updated 10 months ago
- ☆43Updated 9 months ago
- A YouTube agent built using AutoGen☆34Updated last year
- LLM Prompt Testing Quick Start☆75Updated last year
- Jigsawstack Python SDK☆18Updated 3 weeks ago
- CrewAI AgentOps: Monitor your AI Agents☆19Updated last year
- A framework for building large-scale, deterministic, interactive workflows with a fault-tolerant, conversational UX☆43Updated last week
- An AI agent that writes code for you☆13Updated last year
- 🚣 Crewlit brings the power of CrewAI to your browser, making multi-agent AI systems accessible to everyone.☆26Updated last year
- ☆12Updated last year
- ☆42Updated last year
- 🤖 UI for gpt-all-star: https://github.com/kyaukyuai/gpt-all-star☆28Updated 2 weeks ago
- Example Optimizely clone created with GPT Pilot☆29Updated last year