Corpusos

Corpusos is an open-source protocol suite that standardizes interactions with large language models, vector stores, graph databases, and embedding services across popular AI development frameworks. It provides a universal abstraction layer that works with LangChain, LlamaIndex, AutoGen, CrewAI, Semantic Kernel, and MCP, enabling developers to write framework-agnostic code that can switch providers without rewriting integrations. The project includes over 3,330 conformance tests to ensure consistent behavior across supported backends. Targeted at AI engineers and platform teams building production-grade agentic applications or knowledge retrieval systems, Corpusos solves the vendor lock-in problem by decoupling application logic from underlying infrastructure. Its protocol design allows teams to standardize on a single interface while using any combination of supported frameworks and providers. This makes it particularly valuable for organizations that need to maintain multi-provider fallbacks, migrate between cloud services, or support hybrid deployments. The core differentiator is its comprehensive test suite and emphasis on protocol compliance. Unlike thin abstractions that simply wrap APIs, Corpusos defines rigorous conformance requirements that each adapter must pass. This ensures that switching from OpenAI to Anthropic, or from Pinecone to Weaviate, doesn't break application behavior. The open-source nature also allows community contributions and transparent auditability. Currently in active development, Corpusos is free and open-source, with no paid tiers described. It is designed for developers comfortable with Python and modern AI orchestration frameworks. The project's GitHub repository provides detailed documentation, contribution guidelines, and a growing set of supported integrations.