smithery.ai

auto-memory

Automatically remember and recall important events without user prompting

First seen Apr 8, 2026

Installation

$ npx skills add https://smithery.ai

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Declared

Skill metadata

Parsed from SKILL.md frontmatter.

LicenseMIT
Compatibilityopencode
Declared agents opencode
More metadata
audience
agents
workflow
continuous

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 2,709 B
  • docs SUMMARY.md 92 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 1 installs

SKILL.md

What I do

Automatically capture and retrieve memories for significant project events and interactions:

Auto-Remember Events

Proactively use uv run anima remember <parameters> "text" when:

Feature completion

  • Finishing a multi-step feature implementation
  • Completing a bug fix or refactoring
  • Successful test suite results
  • Deploying or releasing code

Git milestones

  • After significant commits (feature completion, major fixes)
  • Merging pull requests
  • Tagging releases

User interactions

  • Learning user preferences, goals, or context
  • Discovering important project details
  • Having valuable technical discussions
  • User explicitly sharing information (names, preferences, etc.)

System events

  • Successfully resolving complex issues
  • Learning new codebase patterns
  • Understanding project architecture

Memory format: --impact <IMPACT> --kind <KIND> --region <REGION> --project <PROJECT if region is PROJECT> "<concise description>"

Memory kinds:

  • EMOTIONAL: User preferences, personal context, emotional states, relationships
  • ARCHITECTURAL: Project structure, design patterns, technical decisions, codebase insights
  • LEARNINGS: Problem solutions, debugging insights, new discoveries, best practices
  • ACHIEVEMENTS: Completed features, milestones, successful deployments, major fixes

Memory regions:

  • AGENT: Agent-specific memories, personal context, agent's own learnings (default)
  • PROJECT: Project-specific memories, architectural details, team decisions (requires --project <PATH>)

Auto-Recall Events

Proactively use uv run anima recall <parameters> when:

  • Starting a new session
  • Encountering similar problems to past solutions
  • User context seems relevant to stored memories
  • Before starting significant work on the project
  • After recalling successful patterns from past work

Timing context

  • On session.start events
  • When user mentions "welcome back" or similar greetings
  • Before implementing features related to past work

When to use me

Use this skill continuously throughout development. No explicit activation needed - this describes automatic behavior for memory management.

Memory importance guidelines

  • High: Successful feature completion, critical bug fixes, major achievements, user preferences, important architectural insights
  • Medium: Test improvements, refactoring, helpful discussions, minor fixes
  • Low: Small code adjustments, routine maintenance, minor optimizations