Skip to main content
Glama
liza-studio

skillmem — long-term memory for Claude Code & Codex

by liza-studio
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

Related Servers

Alternatives to skillmem — long-term memory for Claude Code & Codex

  • basic-memory

    basicmachines-co
    A
    license
    B
    quality
    A
    maintenance
    Basic Memory is a knowledge management system that allows you to build a persistent semantic graph from conversations with AI assistants. All knowledge is stored in standard Markdown files on your computer, giving you full control and ownership of your data. Integrates directly with Obsidan.md
    38
    8,277 PyPI
    4,342
    AGPL 3.0

Related Servers

  • gemdex-mcp

    nikships
    A
    license
    Not graded
    quality
    A
    maintenance
    Provides AI coding agents with a persistent memory layer to save, recall, update, and track memories across sessions and repositories using hybrid semantic search.
    5
    MIT

  • Engram Alpha

    lalithbuilds
    A
    license
    B
    quality
    A
    maintenance
    Enables local AI coding agents and web agents to store, retrieve, and search memories using hybrid semantic, lexical, and knowledge-graph ranking with cognitive decay modeling in a local on-device database.
    15
    1
    MIT

  • Sugar Memory

    Renjun22360
    F
    license
    Not graded
    quality
    A
    maintenance
    Provides AI coding agents with a local-first persistent memory layer they can read and write during sessions, storing decisions, preferences, error patterns, and research per project or globally. Enables semantic and keyword search, formatted context recall, and cross-project guideline surfacing without API keys or cloud storage.
    -

  • Sugar

    pjimenez28448
    F
    license
    Not graded
    quality
    A
    maintenance
    Enables AI coding agents to read and write persistent memory directly during sessions, storing decisions, preferences, error patterns, research, and cross-project guidelines in local SQLite databases. Supports semantic search so relevant project and global context can be recalled by meaning, fully offline and without API keys.
    -

  • rekal

    janbjorge
    A
    license
    Not graded
    quality
    A
    maintenance
    Provides long-term memory for LLMs via local SQLite storage with hybrid search (BM25, vectors, recency decay), enabling AI coding agents to persist and recall memories across sessions without cloud or API keys.
    53
    MIT

  • Sugar

    rSenturk54927
    F
    license
    Not graded
    quality
    A
    maintenance
    Provides a local-first persistent memory layer that lets AI coding agents store, recall, and semantically search project-specific and cross-project knowledge across sessions, so context, decisions, and guidelines survive between conversations. Runs entirely on the user's machine with SQLite and no API keys, and optionally supports autonomous task-queue execution built on the same memory.
    -
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

A4.7/5.0

Scored across 9 tools

Disambiguation4/5

Tools are largely distinct: mem_search (all memory), mem_recall (task-relevant skills with side effects), mem_list (browse), and mem_get (fetch one) have clear use cases. Some overlap exists between mem_search and mem_recall for skills, and mem_search vs mem_list for browsing, but descriptions explicitly guide selection.

Naming Consistency5/5

All 9 tools follow the same mem_<verb> snake_case pattern with no deviations. The prefix and verb style are perfectly consistent across search, list, write, update, learn, pin, get, recall, and reinforce.

Tool Count5/5

Nine tools is well within the ideal 3-15 range and each earns its place: read paths (search, list, get, recall), write paths (write, learn, update), and lifecycle operations (pin, reinforce). No tool feels redundant or missing for the agent-facing scope.

Completeness5/5

The agent-facing surface covers create, read, update, search, reinforcement, and pinning comprehensively. Deletion/archival and approval are intentionally owner-only, so their absence is a deliberate boundary rather than a gap, leaving no dead ends for agent workflows.

Maintenance

ActivityActive
ResponsivenessSlow

Resources