Show HN: Omneum – Local, text-blind context control plane for AI agents

Category: ai-ml

Tags: ai-agents, context-management, rag, graph-inference, mcp, provenance

Score: 6.5/10 (Innovation: 7, Technical: 7, Documentation: 7, Utility: 5)

Omneum is a local, text-blind context control plane for AI agents that uses provenance-aware graph inference to estimate source reliability and claim support, then selects retrieved passages to maximize claim coverage within a token budget. It addresses context rot by accounting for shared upstream evidence rather than treating repeated claims as independent, and integrates via a Python SDK or MCP server.

Target audience: AI/LLM application developers, RAG engineers, agent framework builders

Repository: https://github.com/cole-h06/omneum · Python · MIT · 1 stars

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