sickn33/agentic-awesome-skills1 file

Agent Memory MCP

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

Specification
Skill ID
sickn33/agentic-awesome-skills/agent-memory-mcp
Publisher
sickn33
Repository
agentic-awesome-skills
Installs
0
Files
1
Synced
Sep 23, 2026
How to use it

Open any RiverX project, open the Skills panel in the chat, and search for this identifier. The files are fetched from the source repository at install time.

sickn33/agentic-awesome-skills/agent-memory-mcpInstalls these files
  • SKILL.md

What this skill tells the agent

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:
   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.

  1. 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
  1. 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.

Limitations

  • Use this skill only when the task clearly matches the scope described above.
  • Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  • Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
  • Re-review upstream before changing the pinned revision; a commit pin improves reproducibility but is not a trust guarantee.

Use this skill in a project

Open any RiverX project, search the Skills panel for sickn33/agentic-awesome-skills/agent-memory-mcp, and install it in one click.

Use this skill