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.
git clone --depth 1 https://github.com/ThinkfleetAI/memmeshWrote 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.
[](https://agentmods.dev/plugins/thinkfleetai/memmesh/memmesh-plugin)<a href="https://agentmods.dev/plugins/thinkfleetai/memmesh/memmesh-plugin"><img src="https://agentmods.dev/badge/plugins/thinkfleetai/memmesh/memmesh-plugin/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.
<a href="https://agentmods.dev/plugins/thinkfleetai/memmesh/memmesh-plugin"><img src="https://agentmods.dev/badge/plugins/thinkfleetai/memmesh/memmesh-plugin.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
memmesh-plugin 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 1mo 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.
What it actually says
{
"name": "memmesh",
"version": "0.1.1",
"description": "Persistent, local-first memory for AI agents. Remembers facts, preferences, and decisions across sessions with a bi-temporal knowledge graph, over MCP — runs fully local on SQLite with no mandatory LLM calls. Calibrated prediction & behavior discovery available in hosted mode.",
"author": {
"name": "ThinkFleet",
"email": "[email protected]"
},
"homepage": "https://memmesh.ai",
"repository": "https://github.com/ThinkfleetAI/memmesh",
"license": "Apache-2.0",
"keywords": ["memory", "prediction", "personalization", "mcp", "knowledge-graph", "calibration", "semantic-search"],
"userConfig": {
"api_key": {
"type": "string",
"title": "MemMesh API Key (hosted mode only)",
"description": "Optional. Your MemMesh hosted API key (starts with mm-) for the Mesh Router / app.memmesh.ai. Leave blank to run fully local over SQLite — no key required.",
"sensitive": true,
"required": false
}
}
}
What it installs
The manifest is a name and a version. 18 skills, 1 MCP server travel with it, and installing the plugin installs all of them — 1,108 tokens a session between them. Each is measured on its own page, and each can be installed alone.
- Skill behaviors A 62 tokens
- Skill context-loader A 68 tokens
- Skill graph A 59 tokens
- Skill predict A 78 tokens
- Skill why A 71 tokens
- Skill benchmark A 72 tokens
- Skill dream A 55 tokens
- Skill forget A 73 tokens
- Skill health A 54 tokens
- Skill remember A 81 tokens
- Skill export A 51 tokens
- Skill import A 55 tokens
- Skill onboard A 72 tokens
- Skill pin A 53 tokens
- Skill switch-project A 52 tokens
- Skill peek A 50 tokens
- Skill stats A 56 tokens
- Skill tour A 46 tokens
- MCP server memmesh A not measured
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.
- 1mo ago First seen · 23 lines scan A a5b7b303d491
memmesh-plugin is a plugin published in the GitHub repository ThinkfleetAI/memmesh (405 stars, last pushed 2mo ago), licensed Apache-2.0. Its token cost is not measured: this kind of file is read by the harness, not the model. 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.
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