Developer Builds Local AI Memory Tool to Make Saved Social Posts Searchable

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A developer has released Social Memory (v0.2.0), an open-source, local-first tool that connects saved posts from X/Twitter and Threads to AI coding assistants like Codex and Claude Code. The tool addresses a common frustration: bookmarked or liked posts are difficult to retrieve and cannot be used as AI context without manual copy-pasting. Users can configure which interaction types — likes, bookmarks, or reposts — count as collection signals, giving them control over what enters their personal reference library. Posts are stored once per platform ID to avoid duplicates, and a read-only MCP integration allows connected AI assistants to search, group, and summarize the saved content with links back to original sources. The project is available on GitHub and uses SQLite with full-text search to keep the library local and auditable.

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ProgrammingDEV Community ·

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