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MCP Memory

Fast Agent Memory Using Google's OKF and SQLite FTS5

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HN · launched Aug 13, 2026 · 70 upvotes (top 11%) · 0 views

Niche: ai agent memory infrastructure · 350 launches, 16 in the last 7 days ▼ -27% · Explore this niche →

Category and tags

  • Horizontal
  • Data infrastructure
  • Developer
  • AI-native
  • Hobby / open-source project

Visit website ↗ Source listing ↗

Could you build this?

Yes This is a Model Context Protocol (MCP) server implementing SQLite FTS5 and Google's OKF for text retrieval, which is standard CRUD and prompt tooling easily generated with AI assistance.

Discussion

20 comments analyzed.

Competitors mentioned: AGENT.md / AGENTS.md, ContextVault, Markbase, Memento, OpenAI Codex and OpenCode

Concerns raised: Claude models perform worse than OpenAI models for tool usage and long-focused work, At hundreds of notes, token consumption becomes prohibitive just to retrieve one thing, Merge conflicts in markdown files depend heavily on instructions and data structure, Opus 5 made remote memory tooling integration more difficult, Not suitable for codebases; better suited for durable facts and cross-project information

Feature requests: Vector embedding and semantic search with pgvector for more accurate retrieval, Git-backed memory with FTS5 as optimization layer for human review capability, Indexing corpus with semantic links (explicit and embedding-based) for faster retrieval, ETag-based validation to avoid merge conflicts, Open source the tool with community help

Competitors

Other products that read as similar to this one : 2721 launches clear the similarity bar, closest 8 shown.

Attention rank: #272 of 2722 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 288 days after the earliest competitor.

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