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AI EngineeringPython

SuperLocalMemory

by qualixar

SuperLocalMemory 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
Copy SuperLocalMemory 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 ~/.claude/skills/superlocalmemory

Requires Node.js. Downloads this skill only β€” not the rest of the repository β€” 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
SKILL.md in qualixar/superlocalmemory
Installs to
~/.claude/skills/superlocalmemory
Collection
One of 15 skills cataloged from this repository
Category
AI Engineering β€” 2793 skills

What SuperLocalMemory does

SuperLocalMemory stores, searches, and manages AI agent memories in a local data root. It is used when you need persistent memory with JSON CLI output, MCP access, and optional networked features kept separate.

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

Documentation

README

SuperLocalMemory

AI agent memory with a local data root. Five candidate producers (semantic, BM25, temporal, spreading-activation, Hopfield) fuse via RRF, with an entity-graph post-fusion score enhancement β€” all with mathematical similarity scoring. Mode A operates without sending memory content to a cloud model provider; optional connectors, backup, and proxy providers are explicit choices with separate behavior.

Installation

pip install superlocalmemory
# or
npm install -g superlocalmemory

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

Frequently asked about SuperLocalMemory

  • What else does qualixar publish alongside SuperLocalMemory?

    SuperLocalMemory 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 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 compare to other AI Engineering skills?

    SuperLocalMemory ranks #2556 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 against them. Open each page to compare what they document and how they install.

More from qualixar/superlocalmemory

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

See all 15 skills β†’
πŸ—„οΈ
7h ago

SLM Cache

SLM Cache stores repeated file reads, search results, and tool output behind stable keys. Use it to check for a hit first, then fill on miss; it fails open on errors and never blocks the task.
AI Engineering
22334
πŸ”
7h ago

SLM Governance

SLM Governance defines role-based behavior for SuperLocalMemory in governed workspaces. It covers retention policies, audit trails, GDPR export and erasure, and when agents may read or write under admin, member, or viewer access.
AI Engineering
22334
πŸ•ΈοΈ
7h ago

SLM Graph

SLM Graph indexes a codebase as a structural graph and answers questions about callers, callees, inheritance, blast radius, and semantic code search. Use it to understand how code connects, what changes may break, and to assemble review context.
AI Engineering
22334
πŸ”
7h ago

SLM Loop

SLM Loop runs bounded, gate-verified iterations using SuperLocalMemory as a durable ledger. Use it for tasks with a checkable acceptance condition, and report the exact terminal status when the independent gate passes or a bound stops the run.
AI Engineering
22334
πŸ•ΈοΈ
7h ago

SLM Mesh

SLM Mesh lets multiple AI agent sessions on the same machine discover each other, share transient state, send messages, and lock files to avoid conflicts. Use it when coordinating parallel work across sessions via MCP.
AI Engineering
22334
πŸ”€
7h ago

SLM Profile

SLM Profile isolates memory into separate workspaces and lets you switch the active MCP tool tier at runtime. Use it when working across distinct projects, clients, or environments and check the current profile with slm status.
Automation
22334