mem0 is memory infrastructure that lets AI agents and applications store and retrieve information across interactions. It supports agents and developers who need persistent context for AI systems.
Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add mem0ai/mem0/plugin install mem0Installing this writes the configuration, not the program: `python3` runs a file from the repository, so clone it first and make the path in the command match where you put it.
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.
[](https://agentmods.dev/mcp/mem0ai/mem0/claude-code-plugin-mem0)<a href="https://agentmods.dev/mcp/mem0ai/mem0/claude-code-plugin-mem0"><img src="https://agentmods.dev/badge/mcp/mem0ai/mem0/claude-code-plugin-mem0/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/mcp/mem0ai/mem0/claude-code-plugin-mem0"><img src="https://agentmods.dev/badge/mcp/mem0ai/mem0/claude-code-plugin-mem0.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
mem0 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
{
"mem0": {
"command": "python3",
"args": [
"${CLAUDE_PLUGIN_ROOT}/core/mcp_server.py"
],
"env": {
"MEM0_CODE_DATA_DIR": "${CLAUDE_PLUGIN_DATA}"
}
}
}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 · 11 lines scan A 6971429ec276
mem0 is an MCP server published in the GitHub repository mem0ai/mem0 (67,370 stars, last pushed today), licensed Apache-2.0. Its token cost is not measured: an MCP server costs its tool schemas, not its config file. 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 2026-09-02.
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