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hindsight-local - Claude MCP Skill

Store user preferences, learnings from tasks, and procedure outcomes. Use to remember what works and recall context before new tasks. (user)

SEO Guide: Enhance your AI agent with the hindsight-local tool. This Model Context Protocol (MCP) server allows Claude Desktop and other LLMs to store user preferences, learnings from tasks, and procedure outcomes. use to remember what works and... Download and configure this skill to unlock new capabilities for your AI workflow.

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SKILL.md
# Hindsight Memory Skill (Local)

You have persistent memory via the `hindsight-embed` CLI. **Proactively store learnings and recall context** to provide better assistance.

## Setup Check (First-Time Only)

Before using memory commands, verify Hindsight is configured:

```bash
uvx hindsight-embed daemon status
```

**If this fails or shows "not configured"**, run the interactive setup:

```bash
uvx hindsight-embed configure
```

This will prompt for an LLM provider and API key. After setup, the commands below will work.

## Commands

### Store a memory

Use `memory retain` to store what you learn:

```bash
uvx hindsight-embed memory retain default "User prefers TypeScript with strict mode"
uvx hindsight-embed memory retain default "Running tests requires NODE_ENV=test" --context procedures
uvx hindsight-embed memory retain default "Build failed when using Node 18, works with Node 20" --context learnings
```

### Recall memories

Use `memory recall` BEFORE starting tasks to get relevant context:

```bash
uvx hindsight-embed memory recall default "user preferences for this project"
uvx hindsight-embed memory recall default "what issues have we encountered before"
```

### Reflect on memories

Use `memory reflect` to synthesize context:

```bash
uvx hindsight-embed memory reflect default "How should I approach this task based on past experience?"
```

## IMPORTANT: When to Store Memories

**Always store** after you learn something valuable:

### User Preferences
- Coding style (indentation, naming conventions, language preferences)
- Tool preferences (editors, linters, formatters)
- Communication preferences
- Project conventions

### Procedure Outcomes
- Steps that successfully completed a task
- Commands that worked (or failed) and why
- Workarounds discovered
- Configuration that resolved issues

### Learnings from Tasks
- Bugs encountered and their solutions
- Performance optimizations that worked
- Architecture decisions and rationale
- Dependencies or version requirements

## IMPORTANT: When to Recall Memories

**Always recall** before:
- Starting any non-trivial task
- Making decisions about implementation
- Suggesting tools, libraries, or approaches
- Writing code in a new area of the project

## Best Practices

1. **Store immediately**: When you discover something, store it right away
2. **Be specific**: Store "npm test requires --experimental-vm-modules flag" not "tests need a flag"
3. **Include outcomes**: Store what worked AND what did not work
4. **Recall first**: Always check for relevant context before starting work

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Information

Repository
vectorize-io/hindsight
Author
vectorize-io
Last Sync
3/13/2026
Repo Updated
3/13/2026
Created
1/24/2026

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