This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
The memory layer for AI agents. Persistent, source-cited, and honest about what it doesn't know. Install in 5 lines of Python.Most agent memory layers lose track of what changed. Aurra adds bi-temporal versioning to every memory: when it was true, when it stopped, what replaced it. Now with optional LLM auto-detection of supersession. Free tier, both Python and JS SDKs.
Founder here, with the team. Three things worth saying:
1. This is targeted at developers building agents on top of Anthropic, OpenAI, or open models. If you've ever shipped an agent that "forgot" something the user just told it, or remembered an outdated fact as if it were current, that's the failure mode Aurra solves.
2. Free tier is 500 writes/mo with no credit card. Realistic for prototyping. Pro is $99/mo for 500k writes which covers most production agents.
3. The Level 2 auto-supersession that just shipped is in beta. The API works, the SDKs are out, but live classification is gated behind a server flag for ~3 days while we validate against production traffic. We're not pretending it's GA. The blog post explains exactly what's flagged and why: https://aurra.us/blog/level-2-au...
Bonus: we open-sourced the eval methodology + 121-case test set: https://github.com/aurra-memory/...
Happy to answer anything.
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About Aurra on Product Hunt
“Memory for AI agents that ages gracefully”
Aurra was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #153 on the daily leaderboard. The memory layer for AI agents. Persistent, source-cited, and honest about what it doesn't know. Install in 5 lines of Python.Most agent memory layers lose track of what changed. Aurra adds bi-temporal versioning to every memory: when it was true, when it stopped, what replaced it. Now with optional LLM auto-detection of supersession. Free tier, both Python and JS SDKs.
Aurra was featured in SaaS (42k followers), Developer Tools (512.5k followers), Artificial Intelligence (468.5k followers) and GitHub (41.2k followers) on Product Hunt. Together, these topics include over 226k products, making this a competitive space to launch in.
Who hunted Aurra?
Aurra was hunted by Akshay Trivedi. 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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Akshay Trivedi