Alternatives
Products that do what Penta-V Kernel does
Sub-nanosecond (845ps) Rust safety kernel for AI alignment.
- 1LA
I built LocalGPT over 4 nights as a Rust reimagining of the OpenClaw assistant pattern (markdown-based persistent memory, autonomous heartbeat tasks, skills system). It compiles to a single ~27MB binary — no Node.js, Docker, or Python required. Key features: - Persistent memory via markdown files (MEMORY, HEARTBEAT, SOUL markdown files) — compatible with OpenClaw's format - Full-text search (SQLite FTS5) + semantic search (local embeddings, no API key needed) - Autonomous heartbeat runner that checks tasks on a configurable interval - CLI + web interface + desktop GUI - Multi-provider:…
Feb 2026 · github.com
- 2WM
We wrote our inference engine on Rust, it is faster than llama cpp in all of the use cases. Your feedback is very welcomed. Written from scratch with idea that you can add support of any kernel and platform.
2025 · github.com
- 3IA
2014 · github.com
- 4CR
Jun 2026 · github.com
- 5CO
2024 · github.com
- 6VQ
2020 · github.com
- 7AR
2021 · guillaume.baierouge.fr
- 8RS
2021 · github.com
- 9
A fast, rootless sandbox and virtual resource runtime for any workload, including untrusted and AI-generated code. Daemonless: a real, kernel-enforced container in ~3.5 ms from an OCI image, out of one static binary - getkern/kern
13d ago · github.com
- 10AV
2017 · github.com
- 11MA
Hi HN! I'm Fischer, and I'm super stoked to share a project that I've been working on for a little over a year: Manta, an open-source, cross-platform, vendor-independent tool for debugging and rapid prototyping with FPGAs. This was originally my Master's Thesis at MIT, where I developed it for our course on FPGA design. We needed an alternative to vendor debugging tools, which only supported x86 machines running Windows or Linux. We were able to patch in macOS support with VMs, but as more students came bringing ARM-based devices, we needed a new tool. So I developed this. It's called Manta,…
2024 · fischermoseley.github.io
- 12AA
2018 · amp.rs
- 13IM
This is a personal project I've been working on and off for the past few years. It's a set of tools that have allowed me to prototype quickly small (and increasingly bigger) kernels, and create userspace programs to interact with them. Supports riscv64, amd64 and i386. The intel port has been tested and used on real hardware, from big dual-socket Xeon machines to an old X220. It is all C, I have plan to make rust bindings for the kernel library. But again, they're plans at this stage. Porting to new architectures is relatively simple, a basic port to riscv took me a couple of weeks of…
2024 · github.com
- 14AK
Mar 2026 · github.com
- 15SA
2025 · spiceai.org
- 16RR
ROTTA-rs is an AI Deep Learning framework in rust that focuses on simplicity and ease, now ROTTA-rs has released version 0.0.3 with additional features and performance optimizations.
2025 · github.com
- 17CF
2018 · github.com
- 18
- 19
Minimal, readable LLM post-training experiments on one 8GB GPU. Measures forgetting, seed variance, and RL emergence. - pochenai/nano-llm-posttraining
Aug 2026 · github.com
- 20
Local, gradient-free neuro-symbolic memory engine combining Hyperdimensional Computing (HDC/VSA), Hebbian plasticity, and graph triples for offline AI. - roandejager/Hillock
7d ago · github.com
- 21OA
2021 · github.com
- 22R
A unified, high-performance data validation and serialization framework for Rust, inspired by Pydantic's ergonomics and powered by Serde.
Mar 2026 · github.com
- 23
- 24LA
2019 · github.com
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