Top AI Product

Every day, hundreds of new AI tools launch across Product Hunt, Hacker News, and GitHub. We dig through the noise so you don't have to — surfacing only the ones worth your attention with honest, no-fluff reviews. Explore our latest picks, deep dives, and curated collections to find your next favorite AI tool.


Recall gives Claude Code fully-local project memory that survives sessions

Every time a Claude Code session ends, the agent forgets your architecture, naming conventions, and past decisions — so you re-explain the project from scratch next time, burning tokens and patience. Recall, an open-source tool that hit Show HN, fixes that by giving Claude Code durable memory that lives entirely on your machine.

## What Recall does

Recall plugs into Claude Code via the Model Context Protocol and persists project context across sessions, so the agent can look up what it already learned instead of re-onboarding every time. The author reports 94.5% LoCoMo recall@10 — a benchmark for long-conversation memory retrieval — at roughly 70ms p50 latency, which is fast enough to query inline without slowing the agent down.

## Local-first, no API keys

The selling point is that it’s fully offline: no external service, no API keys, your code and context never leave the machine. That’s a meaningful contrast with hosted memory layers, especially for developers who can’t ship proprietary code to a third-party vector store. It joins a fast-growing class of “agent memory” tools, but the local-first, zero-dependency framing is what’s drawing attention.


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