Open-source project that supports AI agents, automated workflows, orchestration, or delegated tasks.
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Open-source project that supports AI agents, automated workflows, orchestration, or delegated tasks.
Open-source project that supports AI agents, automated workflows, orchestration, or delegated tasks.
Write maintainable, production-ready pipelines. Develop locally, deploy to the cloud.
AI-powered tool for automated PR analysis, feedback, suggestions, and more.
AI-powered tool for automated PR analysis, feedback, suggestions and more.
Agent Framework / shim to use Pydantic with LLMs.
An alternative to use Agentic RAG in enterprises.
An LLM-based autonomous agent controlling real-world applications via RESTful APIs.
Open-source project that supports AI agents, automated workflows, orchestration, or delegated tasks.
A streamlit app to dialog with your second brain notes using OpenAI and ChromaDB locally.
Enterprise-grade Voice AI simulation SDK for scenario-driven stress testing of multimodal and agentic systems.
Open-source Python library designed to make it extremely easy to build and run agents using just a few lines of code.
Export ML projects to Kubernetes (Argo workflows), Airflow, AWS Batch, and SLURM.
Open-source DevOps agent to help you secure, deploy, and maintain production-ready infrastructure.
Open-source project that supports AI agents, automated workflows, orchestration, or delegated tasks.
Open-source project that supports AI agents, automated workflows, orchestration, or delegated tasks.
A model-driven approach to building AI agents in just a few lines of code.
SuperAGI - A dev-first open source autonomous AI agent framework.
Tooling for giving AI systems richer capabilities and more flexible action patterns in practical workflows.
Uses AI agents to complete tasks, coordinate tools or automate multi-step workflows.
Open-source project that supports AI agents, automated workflows, orchestration, or delegated tasks.
Bleeding-Edge Multi-Agent Orchestration Framework for Enterprise Applications.
SWE-agent takes a GitHub issue and tries to automatically fix it, using GPT-4, or your LM of choice.