# Recall

> Search agentmemory for past observations, sessions, and learnings about a topic. Use when the user says "recall", "remember", "what did we do", or needs context from past sessions.

- Skill: `rohitguta2432/recall` (Agent Skill)
- Install (CLI): `npx skillmds@latest add rohitguta2432/recall`
- Raw SKILL.md: https://api.skillmd.com/api/skills/rohitguta2432/recall/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: rohitguta2432 (https://skillmd.com/u/rohitguta2432)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/rohitguta2432/recall

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The user wants to recall past context about: $ARGUMENTS

Use the `memory_smart_search` MCP tool (provided by the agentmemory server that this plugin wires up automatically via `.mcp.json`) with the user's query as the `query` argument and `limit: 10`. The tool runs hybrid BM25 + vector + graph-expanded search over captured observations and returns ranked results.

Present the returned results to the user in a readable format:
- Group by session
- For each observation show its type, title, and narrative
- Highlight the most important observations (importance >= 7)
- If no results come back, suggest 2-3 alternative search terms the user could try

**Do NOT make up or hallucinate observations.** Only present what the MCP tool actually returned. If `memory_smart_search` isn't available, the stdio MCP shim didn't start — tell the user to:
1. Run `/plugin list` in Claude Code and confirm `agentmemory` shows as enabled.
2. Restart Claude Code (the plugin's `.mcp.json` is only read on startup).
3. Check `/mcp` to see whether the `agentmemory` MCP server is connected.