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AI EngineeringPython

SLM Mesh

by qualixar

SLM Mesh 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 Mesh
Copy SLM Mesh 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-mesh ~/.claude/skills/slm-mesh

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
antigravity-plugin/skills/slm-mesh/SKILL.md in qualixar/superlocalmemory
Installs to
~/.claude/skills/slm-mesh
Collection
One of 15 skills cataloged from this repository
Category
AI Engineering β€” 2793 skills

What SLM Mesh does

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.

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

Documentation

README

slm-mesh β€” Cross-Session Peer Coordination

The mesh network lets multiple AI agent sessions on the same machine discover each other and coordinate in real time β€” without writing to the persistent memory store. Mesh messages are transient (48-hour TTL); they complement memory (which is durable) rather than replacing it.

Mesh is local-only: it uses the SLM daemon as a local broker. No data leaves the machine.


Profile requirement

Mesh tools are available in the full, power, and mesh MCP profiles. Confirm the active profile with slm status before calling mesh tools. If the tools are not available, switch to full profile with switch_profile("full") (requires code or higher active profile). See slm-profile.


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

Frequently asked about SLM Mesh

  • What else does qualixar publish alongside SLM Mesh?

    SLM Mesh 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 Mesh 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 Mesh compare to other AI Engineering skills?

    SLM Mesh ranks #2549 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 Mesh against them. Open each page to compare what they document and how they install.

More from qualixar/superlocalmemory

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

See all 15 skills β†’
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SLM Profile

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