A coordination layer for SuperLocalMemory that lets separate AI-agent sessions on one machine find each other, exchange messages, share small pieces of state, and lock files.

Discovering peer sessions, sending coordination messages, sharing lightweight state, and preventing simultaneous edits to the same files.

It reduces conflicts when multiple agent sessions work on related files or need to coordinate their progress.

slm-mesh — Skill for Claude Code by qualixar/superlocalmemory

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent

npx skills add qualixar/superlocalmemory --skill slm-mesh

Clone the repo

git clone --depth 1 https://github.com/qualixar/superlocalmemory

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/qualixar/superlocalmemory/slm-mesh/github.svg)](https://agentmods.dev/skills/qualixar/superlocalmemory/slm-mesh)

Your own site

<a href="https://agentmods.dev/skills/qualixar/superlocalmemory/slm-mesh"><img src="https://agentmods.dev/badge/skills/qualixar/superlocalmemory/slm-mesh/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/qualixar/superlocalmemory/slm-mesh"><img src="https://agentmods.dev/badge/skills/qualixar/superlocalmemory/slm-mesh.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 150 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 3,691 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin unknown No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00150	$0.03691
Opus 5.5	$0.00060	$0.01476
Sonnet 5.5	$0.00030	$0.00738
Haiku 4.5	$0.00015	$0.00369

Measured 10d ago against content hash a1c9bc62ff6f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

slm-mesh scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

antigravity-plugin/skills/slm-mesh/SKILL.md · 390 lines

The source is not reproduced here

Licensed AGPL-3.0

The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

10d ago Changed a1c9bc62ff6f
16d ago Changed 610d17758318
21d ago Changed 7321195f08ea
22d ago Changed 715d61b50098
23d ago Changed 195994a8f471
24d ago Changed 1794d40f918f
25d ago Changed f123ec650cb4
26d ago Changed · +102 lines · +63 tokens per session 54a0b23b6a92
1mo ago Changed · +5 lines · +20 tokens per session 3d25faa1dd96
1mo ago First seen · 283 lines · 67 tokens per session scan A b86c11ee21c5

Subscribe to this mod's changes

slm-mesh is a skill published in the GitHub repository qualixar/superlocalmemory (274 stars, last pushed 11d ago), licensed AGPL-3.0. It adds 150 tokens to every session and 3,691 once invoked, about $0.0006 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Building agents Claude Code agent-memory agent-reliability ai-agents knowledge-graph local-first

slm-mesh next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
slm-meshqualixar/superlocalmemory	Skill	274	11d ago	AGPL-3.0	A	150	Claude Code
engraphis-memoryCoding-Dev-Tools/engraphis	Skill	182	today	Apache-2.0	A	134	Claude Code
binder-modelingmpazik/Binder	Skill	40	19d ago	MIT	A	74	Claude Code
binder-appmpazik/Binder	Skill	40	19d ago	MIT	A	74	Claude Code, Codex
binder-climpazik/Binder	Skill	40	19d ago	MIT	A	60	Claude Code, Codex
binder-importmpazik/Binder	Skill	40	19d ago	MIT	A	62	Claude Code
capture-taskmpazik/Binder	Skill	40	19d ago	MIT	A	48	Claude Code