agent-memory-mcp

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

AI & Automation 46,271 stars 6746 forks Updated 2 days ago MIT

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Skill Content

# 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 Server**: Use the helper script to activate the memory bank for your current project: ```bash npm run start-server <project_id> <absolute_path_to_target_workspace> ``` _Example for current directory:_ ```bash npm...

Details

Author
sickn33
Repository
sickn33/agentic-awesome-skills
Created
7 months ago
Last Updated
2 days ago
Language
Python
License
MIT

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