agent-memory-mcp
FeaturedA 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
Integrates with
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