SuperLocalMemory Compress

SuperLocalMemory Compress 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 SuperLocalMemory Compress

Copy SuperLocalMemory Compress 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-compress ~/.claude/skills/slm-compress

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-compress/SKILL.md in qualixar/superlocalmemory
Installs to: ~/.claude/skills/slm-compress
Collection: One of 15 skills cataloged from this repository
Category: AI Engineering — 2793 skills

What SuperLocalMemory Compress does

SuperLocalMemory Compress reduces large text, tool output, or transcripts to save context space, with optional reversible storage for later recovery. Use it when session content is getting too large; if compression fails, continue with the original text.

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

Documentation

README

Excerpt

slm-compress — Reversible Context Compression (Surface B)

Purpose

When a tool output, transcript, or accumulated context grows large enough to crowd out working space, slm_compress reduces it in-place. The compressed form is used for the remainder of the session; the exact original is recoverable on demand via slm_retrieve. This works without a proxy and without touching ANTHROPIC_BASE_URL, so the full 1M context window is never sacrificed.

Primary MCP Tool: slm_compress

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

Frequently asked about SuperLocalMemory Compress

What else does qualixar publish alongside SuperLocalMemory Compress?
SuperLocalMemory Compress 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 SuperLocalMemory Compress does, and is maintained by qualixar in that same repository. The rest of the collection is listed on the qualixar/superlocalmemory page.
How does SuperLocalMemory Compress compare to other AI Engineering skills?
SuperLocalMemory Compress ranks #2557 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 SuperLocalMemory Compress against them. Open each page to compare what they document and how they install.