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null-drift is a lightweight, bare-metal memory daemon for local AI agents. Instead of bloating a VectorDB with logs, it uses continuous state with geometric decay. Low-level noise naturally evaporates over time, while high-salience milestones permanently warp the state array. Built with a decoupled Rust and Python architecture to eliminate C-linker deadlocks and keep concurrency blazing fast. Fully open-source and local-first.
hey Product Hunt! 👋 i'm Anshuman, and i built null-drift.
i was building local AI agents and got tired of the context-window bloat and heavy overhead of standard VectorDBs. so i built a lightweight alternative.
null-drift is a local memory daemon that uses geometric decay - meaning low-level noise naturally evaporates, while high-importance milestones permenantly warp the state array. under the hood, it uses a decoupled Python (FastAPI/ML) and bare-metal Rust (Axum/Tokio) architecture to keep concurrency fast without C-linker deadlocks.
its completely open-source. would love to hear how u guys handle long-term agent memory and if u have any feedback on the repo!
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About null-drift on Product Hunt
“Local AI memory without the VectorDB bloat”
null-drift was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #102 on the daily leaderboard. null-drift is a lightweight, bare-metal memory daemon for local AI agents. Instead of bloating a VectorDB with logs, it uses continuous state with geometric decay. Low-level noise naturally evaporates over time, while high-salience milestones permanently warp the state array. Built with a decoupled Rust and Python architecture to eliminate C-linker deadlocks and keep concurrency blazing fast. Fully open-source and local-first.
null-drift was featured in Open Source (68.5k followers), Developer Tools (514k followers), Artificial Intelligence (471k followers) and GitHub (41.3k followers) on Product Hunt. Together, these topics include over 207.4k products, making this a competitive space to launch in.
Who hunted null-drift?
null-drift was hunted by Anshuman . 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.
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Anshuman