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Machine Learning Infrastructure
Machine Learning Infrastructure open-source alternatives curated by the directory.
Machine Learning Infrastructure
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13 of 13 tools
Beam
AGPL-3.0
Run AI workloads with sub-second cold starts, elastic GPU scaling, and secure sandboxed environments. Scale to zero when idle, burst to thousands instantly.
Daytona
AGPL-3.0
Elastic sandbox infrastructure for running AI-generated code with sub-90ms environment creation, stateful operations, and isolated execution across Python, TypeScript, Go, and more.
Laminar
Apache-2.0
Laminar is an open-source platform that helps collect, understand, and utilize data for building high-quality LLM applications.
Letta
Apache-2.0
Letta is an open-source platform for creating AI agents with built-in memory, reasoning, and support for thousands of tools.
Mem0
Apache-2.0
Adds persistent, searchable memory to AI agents and apps, so they remember user preferences and past interactions across sessions without pipeline changes.
OpenLIT
Apache-2.0
Open-source observability platform for GenAI and LLM applications. Real-time monitoring, distributed tracing, prompt management, and AI model evaluation built on OpenTelemetry.
Supermemory
MIT
Add persistent memory to LLM apps with millisecond recall times. Store, retrieve, and personalize user data across sessions with enterprise-grade security.
Activeloop
Apache-2.0
Deep Lake is an open-source database for storing, querying and managing complex AI data like images, audio, and embeddings.
Chroma
Apache-2.0
Open-source vector database designed for AI applications. Store, search, and retrieve embeddings with semantic similarity matching and metadata filtering.
Deepnote
Apache-2.0
Deepnote is an open-source collaborative notebook for data analysts and scientists, combining Python, SQL, AI assistance, and live sharing in one cloud platform.
Helicone
Apache-2.0
Open-source platform for logging, monitoring, and debugging LLM applications. Route, debug, and analyze AI apps with comprehensive observability tools.
mlop
Apache-2.0
Open source platform for ML engineers to track metrics, parameters, and gradients in real-time. Features Git integration, alerts, and seamless workflow integration.
Weaviate
BSD-3-Clause
Open-source vector database designed for building powerful, production-ready AI applications with hybrid search capabilities and flexible deployment options.