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Skitchy/rekindle

by Various

Your AI forgets everything between sessions. Rekindle fixes that.

S

MCP

Skitchy/rekindle

Added 1 June 2026

#ai #continuity #mcp #mcp-server #memory #sqlite

Overview

Skitchy/rekindle is a TypeScript library that provides persistent memory for AI agents across sessions. It stores context and state so that agents can recall previous interactions without external services.

Best for

Best for
Developers building AI agents or chatbots that need session‑to‑session memory

Use cases

  • Give a chatbot long-term memory of user conversations
  • Maintain agent state across API calls or user sessions
  • Build AI assistants that remember user preferences over time

How to use

Install

npx rekindle init

Tools exposed

  • open_loops
  • relational_delta
  • next_session_focus
  • store_memory
  • search_memory
  • list_memories
  • delete_memory
  • update_memory
  • list_captures
  • read_capture
  • capture_now
  • REKINDLE_PRECOMPACT_MAX_MESSAGES
  • REKINDLE_PRECOMPACT_MAX_CHARS
  • REKINDLE_BASE_DIR

Tested with

Claude Desktop, Claude Code, Cursor

Notes

Skitchy/rekindle is a TypeScript library that provides persistent memory for AI agents across sessions. It stores context and state so that agents can recall previous interactions without external services.

3 stars on GitHub. Last updated 2026-05-13. Licensed MIT.

Use cases

  • Give a chatbot long-term memory of user conversations
  • Maintain agent state across API calls or user sessions
  • Build AI assistants that remember user preferences over time

Pros

  • Open source and simple to integrate with existing TypeScript projects
  • No external database required for basic persistence
  • Lightweight with minimal dependencies

Cons

  • Limited documentation and community examples
  • May require manual serialization for complex state
  • Not designed for high‑scale or distributed deployments

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Open source and simple to integrate with existing TypeScript projects
  • No external database required for basic persistence
  • Lightweight with minimal dependencies

Cons

  • Limited documentation and community examples
  • May require manual serialization for complex state
  • Not designed for high‑scale or distributed deployments
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