scritty

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Summary

Scritty provides shared, searchable memory for every AI coding agent.

<p> Shared, searchable memory for every AI coding agent </p> <p> <a href="https://www.producthunt.com/products/scritty?utm_campaign=producthunt-atom-posts-feed&amp;utm_medium=rss-feed&amp;utm_source=producthunt-atom-posts-feed">Discussion</a> | <a href="https://www.producthunt.com/r/p/1185930?app_id=339">Link</a> </p>
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rohitg00/agentmemory

GitHub Trending (daily)

agentmemory is an open-source persistent memory layer for AI coding agents (Claude Code, Cursor, Gemini CLI, Codex CLI, etc.) that uses knowledge graphs, confidence scoring, and hybrid search to give agents long-term memory across sessions via MCP, hooks, or REST API. Built on the iii engine, it requires no external databases and exposes 51 MCP tools.

@appliedcompute: https://x.com/appliedcompute/status/2052826576723841292

X AI KOLs Timeline

Applied Compute introduces ACL-Wiki, a continual learning memory system built on their Context Engine that logs coding agent interactions from Cursor, Claude Code, and Codex to build an improving Contextbase, roughly doubling the Critical Memory Rate over two weeks. The system uses a Remember-Refine-Retrieve pipeline exposed via MCP server to give coding agents institutional memory that improves with use.