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recall
Stop wasting Claude Code tokens every time you resume.
Claude Code starts every session cold. Recall keeps a local log of your sessions and condenses it into a resume-ready summary entirely on your machine. No API key, no external model, nothing sent anywhere. It's built for people running Claude Code locally on a subscription: the only AI in the loop is Claude Code itself; the summarization is done by a classical Python summarizer. It is Free on your subscription, Saves your usage credits and Nothing leaves your machine.
👋 Hey Product Hunt!
I built Recall to fix the most annoying part of my day with Claude Code: every single session starts cold.
You spend a great session deep in a problem — Claude knows the goal, the files, where you got stuck, what's left to do. Then you close the terminal. Next morning you open a fresh session and... it remembers nothing. So you re-explain the project. Again. Burning tokens (and your patience) on context you already paid for once.
The existing fixes never quite did it for me:
- CLAUDE.md is hand-written notes you have to maintain — it doesn't record what actually happened.
- --resume replays the whole transcript — full fidelity, but token-heavy and stuck to one machine.
- Most "AI memory" tools quietly pipe your code, paths, and sometimes secrets to a model endpoint to summarize them. Hard no for a lot of people.
Recall takes a different approach:
🔒 100% local. No API key, no external model, no network calls. Nothing leaves your machine — ever. The summarization runs as classical Python (TF-IDF + TextRank), not an LLM call.
💸 Costs you zero tokens. Because the summary is built by a local algorithm, capturing and updating your memory spends no model tokens. And resuming from a compact ~1–2K token digest instead of re-explaining everything actually stretches your subscription further.
📝 Two plain files in your project. history.md logs every session automatically as you work; context.md is the condensed "where are we right now" — goal, files touched, commands run, next steps, where you left off. Both are diffable and shareable (commit them for team memory, or keep them personal).
⚡ Zero friction. No pip install, no local model to run, no key to configure. It works offline and starts the moment the plugin loads.
It's free, MIT-licensed, and it's its own marketplace:
/plugin marketplace add raiyanyahya/recall
/plugin install recall@recall
I'd genuinely love your feedback — especially on what you'd want a session summary to capture. I'm in the comments all day. 🙏
About recall on Product Hunt
“Stop wasting Claude Code tokens every time you resume.”
recall was submitted on Product Hunt and earned 7 upvotes and 1 comments, placing #34 on the daily leaderboard. Claude Code starts every session cold. Recall keeps a local log of your sessions and condenses it into a resume-ready summary entirely on your machine. No API key, no external model, nothing sent anywhere. It's built for people running Claude Code locally on a subscription: the only AI in the loop is Claude Code itself; the summarization is done by a classical Python summarizer. It is Free on your subscription, Saves your usage credits and Nothing leaves your machine.
On the analytics side, recall competes within Software Engineering, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how recall performed against the three products that launched closest to it on the same day.
Who hunted recall?
recall was hunted by Raiyan Yahya. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of recall including community comment highlights and product details, visit the product overview.
Raiyan Yahya