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Merge pull request #6150 from juyterman1000/add-entroly

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Add Entroly to Knowledge & Memory section
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Frank Fiegel
2026-07-22 22:51:01 +02:00
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@@ -2130,6 +2130,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to
- [ailenshen/apple-notes-mcp](https://github.com/ailenshen/apple-notes-mcp) [![apple-notes-mcp MCP server](https://glama.ai/mcp/servers/ailenshen/apple-notes-mcp/badges/score.svg)](https://glama.ai/mcp/servers/ailenshen/apple-notes-mcp) 📇 🏠 🍎 - Read and write Apple Notes with bidirectional Markdown conversion. Fast SQLite queries for listing/searching, AppleScript + native import for full CRUD. Supports stdio and Streamable HTTP transports.
- [AgenticRevolution/memory-nexus-cloud](https://github.com/AgenticRevolution/memory-nexus-cloud) 📇 ☁️ - Cloud-hosted persistent semantic memory for AI agents. Semantic search, knowledge graphs, specialist expertise hats, and multi-tenant isolation. Free 7-day trial.
- [AgentModule/mcp](https://github.com/AgentModule/mcp) [![AgentModule/mcp MCP server](https://glama.ai/mcp/servers/AgentModule/mcp/badges/score.svg)](https://glama.ai/mcp/servers/AgentModule/mcp) 📇 ☁️ - Agent-native knowledge infrastructure. Deterministic, vertical-specific knowledge bases engineered for autonomous agent consumption via MCP. Ethics module (22 modules, EU AI Act mapped) included with every membership. Free 24hr ethics trial.
- [juyterman1000/entroly](https://github.com/juyterman1000/entroly) 🐍 🦀 🏠 🍎 🪟 🐧 - 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`
- [Goldentrii/AgentRecall](https://github.com/Goldentrii/AgentRecall) [![Goldentrii/AgentRecall-MCP MCP server](https://glama.ai/mcp/servers/Goldentrii/AgentRecall-MCP/badges/score.svg)](https://glama.ai/mcp/servers/Goldentrii/AgentRecall-MCP) 📇 ☁️ 🏠 🍎 🪟 🐧 - Persistent, compounding memory for AI agents across sessions. Uses the Intelligent Distance Protocol to surface the most contextually relevant past memories. Five tools: `session_start`, `remember`, `recall`, `check`, `session_end`. `npx agent-recall-mcp`
- [AlekseiMarchenko/central-intelligence](https://github.com/AlekseiMarchenko/central-intelligence) [![central-intelligence MCP server](https://glama.ai/mcp/servers/AlekseiMarchenko/central-intelligence/badges/score.svg)](https://glama.ai/mcp/servers/AlekseiMarchenko/central-intelligence) 📇 ☁️ - Persistent memory for AI agents. Five tools (remember, recall, context, forget, share) with semantic search via vector embeddings and agent/user/org scoping. Works with Claude Code, Cursor, Windsurf, and any MCP client.
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