# Hindsight Recall

> Search long-term memory for relevant context from past coding sessions using Hindsight MCP tools

- Skill: `vectorize-io/hindsight-recall` (Agent Skill)
- Install (CLI): `npx skillmds add vectorize-io/hindsight-recall`
- Raw SKILL.md: https://api.skillmd.com/api/skills/vectorize-io/hindsight-recall/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: vectorize-io (https://skillmd.com/u/vectorize-io)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/vectorize-io/hindsight-recall

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# Hindsight Recall

## Trigger

Use when the user explicitly asks about past decisions, project context, preferences, or anything that may have been discussed in prior sessions.

## Workflow

1. Identify the key topic or question from the user's request.
2. Check if `<hindsight_memories>` in the current context already contains relevant results from the automatic session-start recall.
3. If session memory already covered it, use those memories directly.
4. If the user needs more specific or deeper recall, use the Hindsight MCP `recall` tool to search for additional memories.
5. If you want to reason over accumulated memories for architectural decisions, use the `reflect` tool.

## Guardrails

- Only use MCP tools for deeper recall when the session-start memory was insufficient.
- When memories conflict with current context, prefer current context and note the discrepancy.
- Do not expose raw memory metadata to the user unless asked.

## Output

- Relevant memories integrated into the response
- If MCP tools are not available, advise the user to check their `.cursor/mcp.json` configuration