Conversation Handoff MCP
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- AlicenseNot gradedqualityCmaintenanceEnables AI assistants to retain memory across sessions by storing conversations locally in Markdown files, allowing personalization and continuity without external servers.MIT
- FlicenseBqualityDmaintenanceEnables AI assistants to automatically log and manage conversation history with developers in structured markdown format. Provides powerful search and context suggestions to help AI understand project history and maintain continuity across sessions.41-
- AlicenseNot gradedqualityDmaintenanceA persistent AI memory server that enables storage and retrieval of context and project artifacts across conversations. It features full-text search, version history, and automatic content chunking using local SQLite or hosted cloud storage.11 npmApache 2.0
- AlicenseAqualityDmaintenanceAutomatically records AI conversation turns and code changes to local Markdown files to provide persistent context across chat sessions. It enables AI agents to search history through MCP tools and provides a web viewer for browsing past discussions.34Apache 2.0
- FlicenseBqualityDmaintenanceEnables conversation history sharing between ChatGPT and Claude with secure multi-user support. Allows users to save, load, search, and manage conversations across different AI platforms with cloud deployment options.5-
- AlicenseNot gradedqualityBmaintenanceA persistent memory server for AI tools like Claude, ChatGPT, and Cursor, enabling shared context across platforms.6 npmMIT
TDQS
Scored across 7 tools
Each tool has a clearly distinct purpose with no overlap: clear, list, load, merge, restart, save, and stats cover unique operations. The descriptions specify different actions (e.g., clearing vs. loading vs. merging), making misselection unlikely.
All tools follow a consistent 'handoff_verb' pattern (e.g., handoff_clear, handoff_list, handoff_load). This verb_noun structure is uniform throughout, with no deviations in style or casing, making the set predictable and readable.
With 7 tools, the count is well-scoped for managing conversation handoffs. Each tool serves a specific function (e.g., saving, loading, clearing, merging), and none feel redundant or missing, fitting the domain's lifecycle needs appropriately.
The tool set provides complete CRUD-like coverage for handoff management: save, load, list, clear, merge, restart, and stats. This covers the full lifecycle from creation to deletion, with no obvious gaps for the stated purpose of handling conversation handoffs.