Corpus-OS/corpusos
Open-source protocol suite standardizing LLM, Vector, Graph, and Embedding infrastructure across LangChain, LlamaIndex, AutoGen, CrewAI, Semantic Kernel, and MCP. 3,330+ conformance tests. One protocol. Any framework. Any provider.
This project helps developers build and manage AI applications that use multiple large language models, embedding services, vector databases, or graph databases. It provides a standardized way to connect these different AI services, acting as a universal translator. Developers can feed their existing AI application code into Corpus OS and get consistent connections and performance monitoring across all their chosen AI providers.
144 stars.
Use this if you are developing AI applications and need a consistent way to integrate various AI services like LLMs, vector databases, or embedding models, especially across different vendors or frameworks.
Not ideal if you are only using a single AI provider and are satisfied with their direct integration, or if you are building a quick, throwaway prototype where standardization isn't a concern.
Stars
144
Forks
9
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 12, 2026
Commits (30d)
0
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