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memento-mcp

memento-mcp

by lfrmonteiro99
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TypeScript
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    Memento is a local-first, LLM-agnostic memory layer. It runs an MCP server over a single SQLite file on your machine, so any MCP-capable AI assistant — Claude Desktop, Claude Code, Cursor, GitHub Copilot, Cline, OpenCode, Aider, a custom agent — can read and write durable, structured memory about you, your work, and your decisions.
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  • memento-context

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  • coster

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  • Sugar

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  • Mono Memory MCP

    potato-castle
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    A self-hosted MCP server that provides AI assistants with a shared, persistent SQLite-backed memory for storing and retrieving project context, decisions, and discoveries. It enables cross-session continuity and team-wide knowledge sharing to keep AI coding tools aligned and informed.
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Deploy Server
Context All Your Agents Can ShareAgents share what they learn, hand off work, and hold it when you switch models. Start with 5 GB free.fulcradynamics.comAd

TDQS

A4.5/5.0

Scored across 19 tools

Disambiguation5/5

Each tool has a clearly distinct purpose: decisions_log for ADR entry, pitfalls_log for problem tracking, and memory_* tools covering CRUD, search, graph, linking, analytics, etc. No two tools overlap in functionality.

Naming Consistency4/5

Most tools use the 'memory_' prefix with a verb or noun (e.g., memory_store, memory_search), but decisions_log and pitfalls_log break the prefix pattern. The naming is mostly consistent and intuitive.

Tool Count5/5

19 tools is well-scoped for a knowledge management server. The count covers all necessary operations without being excessive, and each tool contributes a unique, valuable function.

Completeness5/5

The tool surface is comprehensive: store, retrieve, update, delete, search, list, graph traversal, import/export, dedup, compression, pinning, linking/unlinking, timelines, decisions, pitfalls, and analytics. No obvious gaps.

Maintenance

ActivityInactive
ResponsivenessNo issues

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