agent-memory-mcp

agent-memory-mcp is a skill for Claude Code from lingxling/awesome-skills-cn. It costs 26 tokens per session (798 once invoked), scanned A, a copy of agent-memory-mcp, 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 plugin — 174 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, the plugin that ships this one along with the rest of its 174 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 798 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 83% copy Near-identical to another mod 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 $0.00798
Opus 5.5 $0.00010 $0.00319
Sonnet 5.5 $0.00005 $0.00160
Haiku 4.5 $0.00003 $0.00080

Measured 19d ago against content hash 79beb3cef4b8, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, 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 19d 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

This is a copy

83% identical to agent-memory-mcp — 33 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

antigravity-awesome-skills/plugins/agentic-awesome-skills-claude/skills/agent-memory-mcp/SKILL.md · 105 lines

How it starts

The opening of the file, as written. The whole thing — 105 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. Review the Repository: Ask the user to approve network access to the named repository, then clone the pinned revision into a temporary directory, not an active skills path:

    review_dir="$(mktemp -d)"
    git clone --filter=blob:none https://github.com/webzler/agentMemory.git "$review_dir/agent-memory"
    git -C "$review_dir/agent-memory" checkout --detach 0409b7b7bb6fe443d0d4b6a6b1ee0d4df214f3cd
    git -C "$review_dir/agent-memory" ls-files
    

    Read all bundled files and inspect package.json, lockfiles, lifecycle scripts, network behavior, credential access, and filesystem scope. Show the findings and exact commit, then wait for explicit user approval.

  2. Install the Reviewed Revision:

    Copy the reviewed tree to a user-selected location after approval. Install locked dependencies only after the package scripts have been reviewed:

    cd <approved-agent-memory-directory>
    npm ci
    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: "..." })

Read the full file on GitHub · 105 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. 19d ago Changed · +12 lines 79beb3cef4b8
  2. 1mo 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 (321 stars, last pushed 19d ago), licensed MIT. It adds 26 tokens to every session and 798 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 83% identical to agent-memory-mcp, differing in 33 lines, and is treated as a copy.