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leesgit/passbaton

by Various

Session continuity for AI coding agents — your agent picks up where it left off. Persistent memory for Claude Code, OpenAI Codex CLI & Google Gemini CLI, sharing one local db: auto

MCP

leesgit/passbaton

Added 3 Sept 2026

#agent-memory #ai #ai-agent #anthropic #claude #claude-code #codex #codex-cli

Overview

Session continuity tool for AI coding agents. Persists context for Claude Code, OpenAI Codex CLI, and Google Gemini CLI in a shared local database, and automatically injects relevant context on new sessions. Features compaction handover, semantic search in Korean, English, and Japanese, and error-to-solution recall. Runs entirely locally with no configuration or API costs.

Best for

Best for
Developers using Claude Code, Codex CLI, or Gemini CLI who want persistent agent memory

Use cases

  • Hand off long-running coding tasks between agent sessions
  • Search past agent sessions for relevant context
  • Recall past error solutions during debugging

How to use

Install

npx passbaton-hooks status

Tools exposed

  • related_to
  • depends_on
  • example_of
  • memories_fts
  • memory_relations
  • embeddings_v4
  • project_context
  • active_context
  • WORKSPACE_ROOT
  • MCP_HOOKS_DISABLED
  • LOG_LEVEL
  • LOG_FILE

Tested with

Claude Code, ChatGPT

Notes

Session continuity tool for AI coding agents. Persists context for Claude Code, OpenAI Codex CLI, and Google Gemini CLI in a shared local database, and automatically injects relevant context on new sessions. Features compaction handover, semantic search in Korean, English, and Japanese, and error-to-solution recall. Runs entirely locally with no configuration or API costs.

5 stars on GitHub. Last updated 2026-08-10. Licensed MIT.

Use cases

  • Hand off long-running coding tasks between agent sessions
  • Search past agent sessions for relevant context
  • Recall past error solutions during debugging

Pros

  • Supports multiple CLI agents with one shared memory store
  • Fully local, no API costs or data leaving the machine
  • Semantic search across Korean, English, and Japanese

Cons

  • Only supports three specific CLI agents
  • Zero config means limited customization of memory behavior
  • Semantic search limited to three languages

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

Pros

  • Supports multiple CLI agents with one shared memory store
  • Fully local, no API costs or data leaving the machine
  • Semantic search across Korean, English, and Japanese

Cons

  • Only supports three specific CLI agents
  • Zero config means limited customization of memory behavior
  • Semantic search limited to three languages
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