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Lightweight, modular open-source Python framework for building agentic AI pipelines from atomic, composable components (agents, tools, context providers), built on Instructor and Pydantic.

Production-ready LLM app and agentic workflow platform with visual workflows, RAG pipelines, agent capabilities, model management, observability, prompt IDE, APIs, Dify Cloud, and self-hosted Docker Compose deployment.

Apache-2.0 data orchestration platform for building, testing, deploying, observing, and automating data assets, jobs, schedules, sensors, and pipelines.

Official Heroku Platform MCP server that connects Claude and other MCP clients to Heroku apps, dynos, add-ons, pipelines, Private Spaces, maintenance mode, logs, deployments, one-off dynos, Heroku Postgres, and optional Heroku AI tools through the Heroku CLI.

Apache-2.0 library for pretrained diffusion model pipelines, schedulers, adapters, optimization, and training workflows for image, video, and audio generation in PyTorch.

Apache-2.0 Python workflow orchestration framework for resilient data pipelines with flows, tasks, deployments, schedules, retries, caching, workers, work pools, and observability.

Official Microsoft Azure DevOps MCP server for querying work items, pull requests, repositories, pipelines, wikis, test plans, and project metadata through remote HTTP or local stdio transports.

Open-source data and model versioning tool for tracking datasets, ML artifacts, pipelines, experiments, metrics, and remote storage alongside Git.

Open-source AI orchestration framework for building production-ready agents, RAG pipelines, multimodal search, retrieval, and tool-using LLM applications.

Open-source framework for building agentic LLM applications over private data with ingestion, indexes, retrieval, RAG, tools, workflows, and evaluation.

Apache-2.0 Python framework from Hugging Face for dense embeddings, sparse embeddings, semantic search, reranking, multimodal retrieval, and embedding-model training.

Apache-2.0 platform for programmatically authoring, scheduling, monitoring, and operating workflow DAGs across workers, executors, providers, and task logs.

Lightweight open-source serving framework for building custom AI model inference APIs by defining a LitAPI with setup and predict methods, with batching, streaming, multi-GPU autoscaling, OpenAI-compatible endpoints, and support for compound, multimodal, RAG, and agent pipelines.

Open-source all-in-one AI framework for semantic search, LLM orchestration, and language-model workflows, built around an embeddings database that unions sparse and dense vector indexes, graph networks, and relational databases, with pipelines, workflows, agents, and web and MCP APIs.

Open-source, LLM-friendly Python web crawler and scraper that turns web pages into clean, LLM-ready Markdown for RAG, agents, and data pipelines, with an async browser pool, caching, structured extraction, and adaptive deep crawling.

Microsoft .NET team skill marketplace for AI coding agents working on .NET, C#, ASP.NET Core, Blazor, MAUI, diagnostics, MSBuild, NuGet, upgrades, tests, AI workflows, RAG pipelines, and C# MCP servers.

Access the entire Harness.io DevOps platform from Claude — CI/CD pipelines, GitOps, feature flags, cloud cost, security testing, chaos engineering, and more — through 11 consolidated tools covering 216 resource types across 36 toolsets, with 32 built-in prompt templates.

Open-source Python framework for unit-testing LLM applications, agents, RAG pipelines, metrics, regression suites, and traces.

Apache-2.0 model-definition framework for pretrained text, vision, audio, video, and multimodal models across inference, training, pipelines, generation, and fine-tuning.

Source-available workflow automation platform for self-hosted integrations, AI workflows, triggers, and data pipelines.