Home Browse Entroly vs Cognee Entroly vs Cognee Side-by-side comparison of two Model Context Protocol servers — install paths, tools, quality signals, and directory engagement so you can pick the right one for Claude, Cursor, and other MCP clients.
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Summary Auditable context control plane and MCP server for AI coding agents. Compresses context 70–95% (BM25 + entropy + dep-graph knapsack), stabilizes prompt prefixes for provider cache discounts, routes easy tasks to cheaper models (RAVS Bayesian router), and verifies answers locally with WITNESS hallucination guard (0.844 AUROC, $0, 3 ms). MemoryOS adds local budget-aware working/episodic/semantic memory with decay, safety scanning, and durable persistence. 38 agent integrations (Cursor, Claude Code, Codex, Aider, and more). Ships as MCP server (entroly serve), HTTP proxy, or Python/Rust library. Apache-2.0, local-first. pip install entroly Memory manager for AI apps and Agents using various graph and vector stores and allowing ingestion from 30+ data sources Quality signal 31/100 (Emerging) 29/100 (Emerging) Install path pip · highpip · highEngagement Tools Not listed yet Not listed yet Verified / official No No Open listing View Entroly View Cognee
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