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Centralize local AI chat history in SQLite and retrieve exact context via MCP.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "sync-hub" yet — see the docs or source repo.
Retrieve the exact text of my earlier AI conversations from sync-hub and organize the key context chronologically.
Return verbatim conversation snippets and a concise context summary.
I want to continue the previous task; fetch the relevant past conversations from sync-hub to restore the background.
Output task-relevant history so the work can continue smoothly.
Developers switching between Claude Code, Codex, and other tools can centralize history and retrieve it verbatim. This helps recover details discussed earlier.
When you need to revisit your AI conversations, it stores local history in SQLite for later retrieval. It suits people who iterate on prompts or task context often.
When other tools need to cite prior chat text, it exposes exact context through an MCP server. This avoids information loss from memory or summaries.
It centralizes local AI conversation history in a SQLite database and exposes it through an MCP server so other tools can retrieve exact context.
It is mainly for developers who need to preserve and recover context across multiple AI tools. It also suits anyone who needs exact citations from past chats.
The provided information only indicates it uses SQLite and an MCP server. See the source repository for installation or runtime requirements.
Turn local Markdown knowledge into searchable context for AI coding agents.
Sync Claude Code context and shared memory across machines for continuous work.
Sync and anonymize coding assistant sessions for search and status queries.
Search local AI chat history semantically and extract context, thoughts, and profile summaries.
Self-host shared memory, RAG search, and persistent context for AI agents.
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