Alternatives
Products that do what RVactuators does
Shape Memory microactuators suprassing Nitinol capabilities
- 1PT
We just released a very excited touch sensor that finally simplifies touch sensing for robotics. Our most exciting result: Learned visuotactile policies for precise tasks like inserting USBs and credit card swiping, that work out-of-the-box when you replace skins! To the best of our knowledge, this has never been shown before with any existing tactile sensor. Why is this important? For the first time, you could now collect data and train models on one sensor and expect them to generalize to new copies of the sensor -- opening the door to the kind of large foundation models that have…
2024 · any-skin.github.io
- 2
- 3CO
2024 · github.com
- 4
- 5
- 6
- 7
- 8
- 9
- 10
- 11
- 12
An OKF-backed Model Context Protocol (MCP) server delivering persistent long-term memory and SQLite FTS5 search for AI agents. - fellowgeek/mcp-memory
25d ago · github.com
- 13IG
Mar 2026 · github.com
- 14
- 15
- 16
- 17
- 18
Local, gradient-free neuro-symbolic memory engine combining Hyperdimensional Computing (HDC/VSA), Hebbian plasticity, and graph triples for offline AI. - roandejager/Hillock
8d ago · github.com
- 19
- 20
- 21ML
Jun 2026 · github.com
- 22
- 23LW
2025 · vncntt.github.io
- 24CO
Hi HN, I keep running in the same problem of each AI app “remembers” me in its own silo. ChatGPT knows my project details, Cursor forgets them, Claude starts from zero… so I end up re-explaining myself dozens of times a day across these apps. The deeper problem 1. Not portable – context is vendor-locked; nothing travels across tools. 2. Not relational – most memory systems store only the latest fact (“sticky notes”) with no history or provenance. 3. Not yours – your AI memory is sensitive first-party data, yet you have no control over where it lives or how it’s queried. Demo video:…
2025 · github.com
Ranked by how close each launch is in meaning, then by votes. Refine with a description →