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liza-studio/skillmem

by Various

Self-improving skill memory for coding agents: learn, recall, reinforce, decay — with provenance on every memory and trust only you grant. Local SQLite, no API key, no cloud.

MCP

liza-studio/skillmem

Added 16 Sept 2026

#agent-memory#ai-agents#claude-code#codex#developer-tools#llm#mcp#mcp-server
Catalogue record, not a reviewed recommendation. This record can include automatically collected descriptions and setup details. Confirm important claims with the original source. Explore source-reviewed tools.

Overview

Skillmem is a local memory layer for coding agents that learns, recalls, reinforces, and decays skills over time. It stores memories in SQLite with provenance tracking and requires no API key or cloud service. Access is controlled by explicit trust grants from the user.

Best for

Best for
Developers building self-improving coding agents that need persistent, local, trust-controlled skill memory.

Use cases

  • Persist coding skills across agent sessions
  • Recall previously learned solutions with provenance
  • Reinforce or decay memory strength based on usage

How to use

Tools exposed

  • mem_search
  • mem_get
  • mem_list
  • mem_write
  • mem_update
  • mem_learn
  • mem_recall
  • mem_reinforce
  • mem_pin
  • single-session-assistant
  • knowledge-update
  • single-session-user
  • multi-session
  • single-session-preference
  • temporal-reasoning

Clients listed in this record (not verified here)

Claude Desktop, Claude Code, Cursor, Windsurf

Notes

4 stars on GitHub. Last updated 2026-09-16. Licensed Apache-2.0.

Pros

  • Fully local with SQLite, no external dependencies
  • Provenance on every memory improves traceability
  • Trust model gives the user explicit control

Cons

  • Requires Python integration, not language-agnostic
  • Decay and reinforcement behavior may need tuning
  • Limited to what the agent explicitly learns and stores
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