TypeScript-first multi-provider AI agent framework with workflow orchestration and MCP support.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides AI-assisted learning, courses, tutorials, or study support.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Open-source platform for building AI agent networks with multi-protocol support (WebSocket, gRPC, HTTP, MCP, A2A). opensource.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.
Create customized software using natural language idea (through llm-powered multi-agent collaboration).
An autonomous agent designed to navigate the complexities of software engineering. opensource.
Fully Autonomous Research Agent for Health Infomatics.
Visual pipeline editor and workflow orchestrator with an easy to use UI and based on Kubernetes.
Open-source platform to run coding agents as managed workers with tasks, approvals, budgets, and workspaces.
Build AI Assistants with memory, knowledge and tools.
Production-Ready LLM Agent SDK for Every Developer.
Write maintainable, production-ready pipelines. Develop locally, deploy to the cloud.
Lightweight Bash scripts that enhance your terminal coding workflow with web-based AI assistants like Claude or Grok.
AI-powered tool for automated PR analysis, feedback, suggestions, and more.
AI-powered tool for automated PR analysis, feedback, suggestions and more.
Open-source, low-code machine learning library in Python that automates machine learning workflows.
Agent Framework / shim to use Pydantic with LLMs.
An alternative to use Agentic RAG in enterprises.
An LLM-powered repository agent designed to assist developers and teams in generating documentation and understanding repositories quickly.
An LLM-based autonomous agent controlling real-world applications via RESTful APIs.
Testing infrastructure for LLM and agentic applications with collaborative evaluation.