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AI EngineeringPython

SLM Session

by qualixar

SLM Session is an AI Engineering skill for Claude Code, published by qualixar in superlocalmemory.

223 stars34 forkson qualixar/superlocalmemoryAdded 2026/09/03Repository updated 2026/09/03
agent-memoryagent-reliabilityai-agentsclaude-codecursorknowledge-graphllm-memorylocal-firstmcpmcp-serverpersistent-memoryqualixarsemantic-searchvector-searchwindsurf
Install in seconds
Install SLM Session
Copy SLM Session into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/qualixar/superlocalmemory/tree/main/antigravity-plugin/skills/slm-session ~/.claude/skills/slm-session

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/qualixar/superlocalmemory.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
antigravity-plugin/skills/slm-session/SKILL.md in qualixar/superlocalmemory
Installs to
~/.claude/skills/slm-session
Collection
One of 15 skills cataloged from this repository
Category
AI Engineering2793 skills

What SLM Session does

SLM Session manages SuperLocalMemory session lifecycle. Use session_init at the start of a fresh session to load context and get a session_id, then close_session when work is done to write temporal summaries.

SLM Session is cataloged under AI Engineering on DirSkills. SLM Session comes from a repository tagged agent-memory, agent-reliability, ai-agents, claude-code and cursor.

Documentation

README

slm-session — Session Lifecycle Hygiene

Session lifecycle is the mechanism that makes SuperLocalMemory's learning loop work. Without it, recall signals are not attributed and temporal summaries are not written. This is not optional housekeeping — it is load-bearing.


The lifecycle in one diagram

Session starts
     |
     v
session_init(project_path, query)
     |--- returns session_id, context, memories
     |
     v
Use session_id in every recall() and remember() call
     |
     v
Work completes
     |
     v
close_session(session_id)
     |--- writes temporal summaries to DB

This is the opening of the README. Read the full README on GitHub.

Frequently asked about SLM Session

  • What else does qualixar publish alongside SLM Session?

    SLM Session is one of 15 skills that DirSkills catalogs from qualixar/superlocalmemory, the repository it ships in. Its siblings there include SLM Cache, SLM Governance and SLM Graph. Each one is a separate skill with its own page in this directory, installs the same way SLM Session does, and is maintained by qualixar in that same repository. The rest of the collection is listed on the qualixar/superlocalmemory page.

  • How does SLM Session compare to other AI Engineering skills?

    SLM Session ranks #2554 by stars among the 2793 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of SLM Session against them. Open each page to compare what they document and how they install.

More from qualixar/superlocalmemory

SLM Session is one of 15 skills cataloged on DirSkills from qualixar/superlocalmemory.

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