A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).
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.
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:
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.
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:
cd <approved-agent-memory-directory>
npm ci
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.
Copy a source-pinned command for your client. You run it yourself.
Destination: .claude/skills/agent-memory-mcp · pinned to the source commit
# Run from your project root
git clone https://github.com/sickn33/agentic-awesome-skills.git .skillboard-tmp
git -C .skillboard-tmp checkout 5cf4dfeb13ea966daa1e117897689cd7991e3f44
mkdir -p ".claude/skills"
cp -r ".skillboard-tmp/plugins/agentic-awesome-skills-claude/skills/agent-memory-mcp" ".claude/skills/"
rm -rf .skillboard-tmpReview the source before running. This copies files into your project; it is not a one-click install and does not verify runtime safety.
sudo apt update && sudo apt install -y gitnpm install -g @anthropic-ai/claude-code# Run from your project root
git clone https://github.com/sickn33/agentic-awesome-skills.git .skillboard-tmp
git -C .skillboard-tmp checkout 5cf4dfeb13ea966daa1e117897689cd7991e3f44
mkdir -p ".claude/skills"
cp -r ".skillboard-tmp/plugins/agentic-awesome-skills-claude/skills/agent-memory-mcp" ".claude/skills/"
rm -rf .skillboard-tmpDestination: .claude/skills/agent-memory-mcp
Scanner static-checks@0.1.0 · commit 5cf4dfeb13ea. Static checks cannot prove runtime safety – review the source and the exact diff before installing. How checks work.
No static rules matched. This is not a safety guarantee.