by Corpus-OS · MCP Server · ★ 258
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Corpus OS Reference implementation of the Corpus OS — a wire-first, vendor-neutral SDK for interoperable AI frameworks and data backends across four domains: LLM, Embedding, Vector, and Graph. Contact: team@corpusos.com Website: https://corpusos.com Docs: https://docs.corpusos.com ┌──────────────────────────────────────────────────────────────────────┐ │ Your App / Agents / RAG Pipelines │ │ (LangChain · LlamaIndex · Semantic Kernel · CrewAI · AutoGen · MCP) │ ├──────────────────────────────────────────
| Stars | 258 |
| Forks | 7 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 66.2367034285205/100 |
| Open Issues | 5 |
| Last Updated | 2026-04-14 |
| Created | 2025-10-30 |
| Platforms | gemini, mcp, python |
| Est. Tokens | ~523k |
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corpusos is 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 protoco. It is categorized as a MCP Server with 258 GitHub stars.
corpusos is primarily written in Python. It covers topics such as agents, ai-agents, ai-infrastructure.
You can find installation instructions and usage details in the corpusos GitHub repository at github.com/Corpus-OS/corpusos. The project has 258 stars and 7 forks, indicating an active community.
corpusos is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to corpusos on Agent Skills Hub include airbyte-agent-connectors, sre, c4-genai-suite. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.