agent-memory-mcp

agent-memory-mcp is a skill for Claude Code from lingxling/awesome-skills-cn. It costs 26 tokens per session (618 once invoked), scanned A, original, MIT.

A persistent, searchable memory bank for AI agents that stores project architecture, patterns, and decisions. It runs as an MCP server so an agent can read, write, and search long-term memories.

In plain words
What is it for?
Recording and finding project knowledge, including architecture notes, reusable patterns, and technical decisions, after setting up its Node.js server.
Why use it?
It keeps important project knowledge available across separate conversations and makes it searchable. This reduces repeated explanations and lost decisions.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the agentic-awesome-skills-claude plugin — 36 skills shipped together

Good fit Recording and finding project knowledge, including architecture notes, reusable patterns, and technical decisions, after setting up its Node.js server.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/lingxling/awesome-skills-cn/agent-memory-mcp
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 lingxling/awesome-skills-cn --skill agent-memory-mcp
Clone the repo
git clone --depth 1 https://github.com/lingxling/awesome-skills-cn

Made for: Claude Code.

Or install agentic-awesome-skills-claude, the plugin that ships this one along with the rest of its 36 skills.

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.

agentmods badge for agent-memory-mcp

README.md
[![agentmods](https://agentmods.dev/badge/skills/lingxling/awesome-skills-cn/agent-memory-mcp/github.svg)](https://agentmods.dev/skills/lingxling/awesome-skills-cn/agent-memory-mcp)
Your own site
<a href="https://agentmods.dev/skills/lingxling/awesome-skills-cn/agent-memory-mcp"><img src="https://agentmods.dev/badge/skills/lingxling/awesome-skills-cn/agent-memory-mcp/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.

agentmods 80×15 button for agent-memory-mcp

Your own site · 80×15
<a href="https://agentmods.dev/skills/lingxling/awesome-skills-cn/agent-memory-mcp"><img src="https://agentmods.dev/badge/skills/lingxling/awesome-skills-cn/agent-memory-mcp.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 26 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 618 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00026 $0.00618
Opus 5 $0.00013 $0.00309
Sonnet 5 $0.00005 $0.00124
Haiku 4.5 $0.00003 $0.00062

Measured 11d ago against content hash 9c5b31f7fd69, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

agent-memory-mcp 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 11d 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.

Origin

Copies of this mod

8 near-identical copies found in the catalogue:

antigravity-awesome-skills/plugins/agentic-awesome-skills-claude/skills/agent-memory-mcp/SKILL.md · 93 lines

How it starts

The opening of the file, as written. The whole thing — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agent Memory Skill

This skill provides a persistent, searchable memory bank that automatically syncs with project documentation. It runs as an MCP server to allow reading/writing/searching of long-term memories.

Prerequisites

  • Node.js (v18+)

Setup

  1. Clone the Repository: Clone the agentMemory project into your agent's workspace or a parallel directory:

    git clone https://github.com/webzler/agentMemory.git .agent/skills/agent-memory
    
  2. Install Dependencies:

    cd .agent/skills/agent-memory
    npm install
    npm run compile
    
  3. Start the MCP Server: Use the helper script to activate the memory bank for your current project:

    npm run start-server <project_id> <absolute_path_to_target_workspace>
    

    Example for current directory:

    npm run start-server my-project $(pwd)
    

Capabilities (MCP Tools)

memory_search

Search for memories by query, type, or tags.

  • Args: query (string), type? (string), tags? (string[])
  • Usage: "Find all authentication patterns" -> memory_search({ query: "authentication", type: "pattern" })

memory_write

Record new knowledge or decisions.

  • Args: key (string), type (string), content (string), tags? (string[])
  • Usage: "Save this architecture decision" -> memory_write({ key: "auth-v1", type: "decision", content: "..." })

memory_read

Retrieve specific memory content by key.

  • Args: key (string)
  • Usage: "Get the auth design" -> memory_read({ key: "auth-v1" })

memory_stats

View analytics on memory usage.

  • Usage: "Show memory statistics" -> memory_stats({})

Dashboard

This skill includes a standalone dashboard to visualize memory usage.

npm run start-dashboard <absolute_path_to_target_workspace>

Access at: http://localhost:3333

When to Use

This skill is applicable to execute the workflow or actions described in the overview.

Read the full file on GitHub · 93 lines

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.

  1. 11d ago First seen · 93 lines · 26 tokens per session scan A 9c5b31f7fd69

Subscribe to this mod's changes

agent-memory-mcp is a skill published in the GitHub repository lingxling/awesome-skills-cn (281 stars, last pushed 1mo ago), licensed MIT. It adds 26 tokens to every session and 618 once invoked, about $0.0001 per session on Opus 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.

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