Agent skill · AI & Agents

agent-memory-mcp

A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).

Nick44,086★ · +407/wk · 1 repos on radarProfile →
claude-codecodexcursorMIT
Install
npx skills add sickn33/agentic-awesome-skills --skill agent-memory-mcp --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 3 KB
Bundled scripts: none
Path: skills/agent-memory-mcp/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 44,414 · +328 this week
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 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: ```bash 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: ```bash cd <approved-agent-memory-directory> npm ci npm run compile ``` 3. **Start the MCP S

What's inside
Steps it walks through
  1. Prerequisites
  2. Setup
  3. Capabilities (MCP Tools)
  4. memorysearch
  5. memorywrite
  6. memoryread
  7. memorystats
  8. Dashboard
  9. When to Use
  10. Limitations
Commands it runs
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
cd <approved-agent-memory-directory>
npm ci
npm run compile
npm run start-server <project_id> <absolute_path_to_target_workspace>
npm run start-server my-project $(pwd)
npm run start-dashboard <absolute_path_to_target_workspace>
More from agentic-awesome-skills
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About this skill
What does the agent-memory-mcp skill do?

A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).

How do I install it?

Run `npx skills add sickn33/agentic-awesome-skills --skill agent-memory-mcp --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From sickn33/agentic-awesome-skills, a repository with 44,414 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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