category
Open Source Machine Learning Infrastructure Tools
Open source machine learning infrastructure tools
All Machine Learning Infrastructure tools
Run open-source LLMs locally on your own machine
Run LLMs locally with minimal setup, maximum hardware support
A high-throughput and memory-efficient inference and serving engine for LLMs
Run open-source AI models privately on your own device
Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, K
LlamaIndex is the document processing platform for AI
Self-hosted AI runtime for text, voice, vision, and agents
A library for efficient similarity search and clustering of dense vectors.
📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG
Open source LLM engineering platform for AI-powered applications
Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory across sessions with a self-hosted knowledge graph engi
Turns Data and AI algorithms into production-ready web applications in no time.
XERJ is the new way for AI to search data. Its autoindex capability activates agents to know your data without the token waste of grep and sed. One command inde
An orchestration platform for the development, production, and observation of data assets.
A lightweight, lightning-fast, in-process vector database
LangChain4j is an idiomatic, open-source Java library for building LLM-powered applications on the JVM. It offers a unified API over popular LLM providers and v
💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
Code search MCP for Claude Code. Make entire codebase the context for any coding agent.
Run any open-source LLMs, such as DeepSeek and Llama, as OpenAI compatible API endpoint in the cloud.
Open-source LLM tracing & evaluation for AI optimization
Always know what to expect from your data.
Developer-friendly OSS embedded retrieval library for multimodal AI. Search More; Manage Less.
One Postgres for your application data, full-text search, vector retrieval, and aggregations. Home of the pg_search extension.
MariaDB server is a community developed fork of MySQL server. Started by core members of the original MySQL team, MariaDB actively works with outside developers
Open Source Deep Research Alternative to Reason and Search on Private Data. Written in Python.
Monitor LLM performance with open-source observability
A framework for efficient model inference with omni-modality models
Open-source framework for building agentic apps in JavaScript, Go, Dart, and Python, built and used in production by Google
Build reliable AI apps with comprehensive observability
A GPU cluster manager for high-performance AI model serving (vLLM, SGLang) and on-demand SSH-accessible GPU instances.
MineContext is your proactive context-aware AI partner(Context-Engineering+ChatGPT Pulse)
Open-Source Personal Cloud OS for Always-On Agents
Simulation-based testing and evaluation for AI agents
Build, automate, and improve AI agents with your team
The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.
Full observability for AI agents in production
Local persistent memory store for LLM applications including claude desktop, github copilot, codex, antigravity, etc.
Knowhere extracts, parses, and outputs structured chunks ready for AI Agents and RAG.
High-performance Inference and Deployment Toolkit for LLMs and VLMs based on PaddlePaddle
AI-powered platform for engineering LLM products
Jupyter Notebooks to help you get hands-on with Pinecone vector databases
High-performance inference framework for large language models, focusing on efficiency, flexibility, and availability.
pingcap/autoflow is a Graph RAG based and conversational knowledge base tool built with TiDB Serverless Vector Storage. Demo: https://tidb.ai
Monitor, debug, and scale LLM applications with ease
The Context Layer for unstructured data: typed, versioned datasets over S3, GCS, Azure
OpenLake is a high performance storage engine for efficient LLM inference and GPU Training
Build applications that make decisions (chatbots, agents, simulations, etc...). Monitor, trace, persist, and execute on your own infrastructure.
Distributed vector search for AI-native applications
GPU orchestration across clouds, Kubernetes, and on-prem
Local-first AI job intelligence workbench for scraping roles, ranking fit, and generating tailored application materials.
🏕️ Reproducible development environment for humans and agents
The Agentic Framework of the PHP ecosystem to build production-ready AI driven applications. Connect components (LLMs, Tools, vector DBs, memory) to agents that
AI-native HTAP database with Git-for-Data and built-in vector search, serving as the data and memory backbone for intelligent agents and applications.
Open-source persistent memory for AI agent pipelines (LangGraph, CrewAI, AutoGen) and Claude. REST API + knowledge graph + autonomous consolidation.
Virtualized Elastic KV Cache for Dynamic GPU Sharing and Beyond
Open Source Continuous Inference Benchmark Research Platform — Kimi K3 2.8T, MiniMax M3, DeepSeekv4, GLM5 - GB200 NVL72 vs MI355X vs B200 vs GB300 NVL72 & soon™
Serverless GPU compute with sub-second cold starts
OpenCode plugin that gives coding agents persistent memory using local vector database
LLPhant - A comprehensive PHP Generative AI Framework using OpenAI GPT 4. Inspired by Langchain
A multi-modal vector database that supports upserts and vector queries using unified SQL (MySQL-Compatible) on structured and unstructured data, while meeting t
SGLang-Omni is a high-performance serving framework for audio models (TTS, ASR) and unified multimodal models.
🔥 Real-time NVIDIA GPU dashboard
An open source DevOps tool from the CNCF for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI Artifact.
Jev-compatible API server for open decision models. Ollama for decision models: pull and serve 25 model families (Laya, pplx-decider, Clef, Winnow, coba...) loc
Python client for Qdrant vector search engine
Infinispan is an open source data grid platform and highly scalable NoSQL cloud data store.
local-first semantic code search engine
ArcadeDB Multi-Model Database, one DBMS that supports SQL, Cypher, Gremlin, HTTP/JSON, MongoDB and Redis. ArcadeDB is a conceptual fork of OrientDB, the first M
Benchmark for vector databases.
Agent memory for LLMs: 30 runnable Jupyter notebooks covering conversation buffers, vector stores, knowledge graphs, episodic and semantic memory, MemGPT, Mem0,
A fast, multi-threaded Redis® and Valkey alternative written in Rust: drop-in compatible, with full-text and vector search built in
🚀 Self-hosted AI automation platform. Deploy n8n, Ollama, Flowise, RAG, Supabase & 30+ tools with one command. Auto HTTPS. Free Zapier/Make alternative.
ID-based RAG FastAPI: Integration with Langchain and PostgreSQL/pgvector
LightlyStudio - The Unified Data Platform for Multimodal ML
Deploy any AI model, agent, database, RAG, and pipeline locally or remotely in minutes
Pure Rust + CUDA LLM inference engine — no PyTorch, OpenAI-compatible, serves Qwen3 to Kimi-K2
Serverless LLM Serving for Everyone.
RAGLight is a modular framework for Retrieval-Augmented Generation (RAG). It makes it easy to plug in different LLMs, embeddings, and vector stores, and now inc
NextPlaid, ColGREP: Multi-vector search, from database to coding agents.
A NodeJS RAG framework to easily work with LLMs and embeddings
Encrypted, fully offline agentic memory. One click install, GUI w/ memory map, all OS and agents. Superior memory creation, storage and retrieval.
Deliver safe & effective language models
The Supabase of AI era. A modular, open-source backend for building AI-native software — designed for knowledge, not static data.
Open Model Engine (OME) — Kubernetes operator for LLM serving, GPU scheduling, and model lifecycle management. Works with SGLang, vLLM, TensorRT-LLM, and Triton
Monitor the stability of a Pandas or Spark dataframe ⚙︎
Experiment tracking platform for ML teams
LLM observability: cost, latency, and traces in one place
Trace, evaluate, and protect every LLM call in one SDK
Frequently asked questions
How many open source Machine Learning Infrastructure tools are there?
This registry tracks 89 open source Machine Learning Infrastructure projects, with 1,141,612 combined GitHub stars. The list is ranked by stars and refreshed nightly.
What is the most popular open source Machine Learning Infrastructure project?
Ollama leads this category with 185,702 GitHub stars, followed by llama.cpp.
Are these Machine Learning Infrastructure tools free?
Yes — every project listed here is open source. Some also offer paid hosted versions alongside the free self-hosted option; the licence for each project is shown on its card.