Llm Framework
Showing 9 of 9 projects
A platform to run, manage, and serve open-source large language models locally with a simple CLI and REST API.
A framework for building agents and LLM-powered applications by chaining together interoperable components and integrations.
A framework for creating multi-agent AI applications that can act autonomously or work alongside humans.
An open-source framework for building LLM-powered applications with data ingestion, indexing, and retrieval capabilities.
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications in Python.
An open-source LLMOps platform for prompt management, evaluation, and observability to build reliable LLM applications faster.
An open-source framework that enables AI agents to learn from experience through a persistent learning loop, improving performance over time.
A neuro-symbolic Python framework that combines classical programming with LLMs through composable primitives and design-by-contract validation.
A Ruby framework for orchestrating multiple AI agents as a collaborative team with persistent memory and semantic search.
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