Entroly vs Distil

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.

Compare
E
Entroly
juyterman1000
🧠 Knowledge & Memory
D
Distil
dshakes
🧠 Knowledge & Memory
SummaryAuditable 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 entrolyReversibly compress a large tool output to a recoverable 8-hex handle over stdio, expand it on demand, and report a local token/dollar savings ledger.
Quality signal24/100 (Emerging)23/100 (Emerging)
Install pathpip · highuvx · high
Engagement 0 0 0 0 0 0 11
ToolsNot listed yetNot listed yet
Verified / officialNoNo
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