Basic Memory vs Entroly

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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Basic Memory
basicmachines-co
🧠 Knowledge & Memory
E
Entroly
juyterman1000
🧠 Knowledge & Memory
SummaryPersistent, local-first AI memory: a semantic knowledge graph of plain Markdown files that humans and LLMs both read and write. Works with any MCP client, with optional cloud sync and team workspaces.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
Quality signal32/100 (Emerging)24/100 (Emerging)
Install pathnpx · lowpip · high
Engagement 2 0 0 3,545 0 0 0
ToolsNot listed yetNot listed yet
Verified / officialNoNo
Open listingView Basic MemoryView Entroly
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