agent-memory-mcp▌
sickn33/antigravity-awesome-skills · updated Apr 8, 2026
Persistent, searchable memory system for agents to store and retrieve architectural decisions, patterns, and project knowledge.
- ›Provides four core MCP tools: memory_search for querying by text/type/tags, memory_write to record decisions and patterns, memory_read to retrieve specific entries, and memory_stats for usage analytics
- ›Runs as an MCP server that syncs with project documentation, enabling long-term knowledge retention across agent sessions
- ›Includes a standalone dashboard (por
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
-
Clone the Repository: Clone the
agentMemoryproject into your agent's workspace or a parallel directory:git clone https://github.com/webzler/agentMemory.git .agent/skills/agent-memory -
Install Dependencies:
cd .agent/skills/agent-memory npm install npm run compile -
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.
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.5★★★★★64 reviews- ★★★★★Nikhil Liu· Dec 28, 2024
Solid pick for teams standardizing on skills: agent-memory-mcp is focused, and the summary matches what you get after install.
- ★★★★★Nikhil Thompson· Dec 24, 2024
Useful defaults in agent-memory-mcp — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Tariq Ramirez· Dec 24, 2024
Registry listing for agent-memory-mcp matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Mei Verma· Dec 20, 2024
Keeps context tight: agent-memory-mcp is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Naina Huang· Dec 8, 2024
agent-memory-mcp is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Nikhil Diallo· Dec 4, 2024
agent-memory-mcp fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Layla Reddy· Nov 27, 2024
Solid pick for teams standardizing on skills: agent-memory-mcp is focused, and the summary matches what you get after install.
- ★★★★★Sakura Chawla· Nov 23, 2024
We added agent-memory-mcp from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Li Gill· Nov 19, 2024
agent-memory-mcp is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Aditi Mehta· Nov 15, 2024
I recommend agent-memory-mcp for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
showing 1-10 of 64