From antigravity-awesome-skills
Runs MCP server for persistent, searchable memory management in AI agents, storing/retrieving architecture, patterns, decisions with search/write/read tools and dashboard.
npx claudepluginhub sickn33/antigravity-awesome-skillsThis skill uses the workspace's default tool permissions.
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.
Runs MCP server for persistent, searchable memory management in AI agents, storing/retrieving architecture, patterns, decisions with search/write/read tools and dashboard.
Manages local memory for AI agents with compression detection, auto-snapshots, semantic search across episodic, semantic, and procedural tiers. Use to prevent context loss, organize memories, and track usage.
Manages persistent local memory in .nemp/memories.json for Claude Code agents, storing project stack, architecture decisions, user preferences, and enabling cross-session context retention.
Share bugs, ideas, or general feedback.
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.
Clone the Repository:
Clone the agentMemory project 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)
memory_searchSearch for memories by query, type, or tags.
query (string), type? (string), tags? (string[])memory_search({ query: "authentication", type: "pattern" })memory_writeRecord new knowledge or decisions.
key (string), type (string), content (string), tags? (string[])memory_write({ key: "auth-v1", type: "decision", content: "..." })memory_readRetrieve specific memory content by key.
key (string)memory_read({ key: "auth-v1" })memory_statsView analytics on memory usage.
memory_stats({})This skill includes a standalone dashboard to visualize memory usage.
npm run start-dashboard <absolute_path_to_target_workspace>
Access at: http://localhost:3333
This skill is applicable to execute the workflow or actions described in the overview.