Persistent, searchable memory bank for AI agents with automatic project documentation sync.
Create detailed user stories, acceptance criteria, and feature specs
Example: Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example: Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example: Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example: Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Submit your Claude Code skill and start earning
epx add davila7/claude-code-templates --skill agent-memory-mcpCompatible with
Supported agents
Provides four core MCP tools: memory_search for querying by text/type/tags, memory_write for recording knowledge and decisions, memory_read for retrieving specific entries, and memory_stats for usage analytics
Organizes memories by type (architecture, patterns, decisions) and supports custom tagging for flexible retrieval and organization
Runs as an MCP server that syncs with your project work
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionagent-memory-mcpExecute the skills CLI command in your project's root directory to begin installation:
epx add davila7/claude-code-templates --skill agent-memory-mcpFetches agent-memory-mcp from davila7/claude-code-templates and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
.cursor/skills/agent-memory-mcp
Restart Cursor to activate agent-memory-mcp. Access via /agent-memory-mcpin your agent's command palette.
Learn more:View source on GitHubSkills CLI docsAbout CursorWhat are agent skills?
Time estimate: 30-60 minutes to see productivity improvements
Prerequisites
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
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agent-memory-mcp is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Keeps context tight: agent-memory-mcp is the kind of skill you can hand to a new teammate without a long onboarding doc.
We added agent-memory-mcp from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
agent-memory-mcp fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Keeps context tight: agent-memory-mcp is the kind of skill you can hand to a new teammate without a long onboarding doc.
agent-memory-mcp fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Solid pick for teams standardizing on skills: agent-memory-mcp is focused, and the summary matches what you get after install.
agent-memory-mcp has been reliable in day-to-day use. Documentation quality is above average for community skills.
agent-memory-mcp has been reliable in day-to-day use. Documentation quality is above average for community skills.
Solid pick for teams standardizing on skills: agent-memory-mcp is focused, and the summary matches what you get after install.
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