agent-memory-mcp skill
A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).
Is the agent-memory-mcp skill safe?
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Install the agent-memory-mcp skill
A skill is a folder. Copy it into your agent's skills folder and the agent loads it when the task matches its description.
git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git /tmp/agentic-awesome-skills mkdir -p ~/.claude/skills cp -r /tmp/agentic-awesome-skills/plugins/agentic-awesome-skills-claude/skills/agent-memory-mcp ~/.claude/skills/agent-memory-mcp
In the Claude apps, zip the folder and upload it from the Skills settings. The folder on GitHub
The instructions your agent would load
SKILL.md as published, without the frontmatter. Read it on GitHub
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
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 the Repository:
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-filesRead 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 compileUse the helper script to activate the memory bank for your current project:
- Start the MCP Server:
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.
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