Alternatives
Products that do what Axiom Megacore Fusion does
Unified Simulation Swarm AI, Raycast Shadows & Rust ECS
- 1SA
2019 · 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
- 3
- 4LA
2020 · github.com
- 5AA
Hi HN, I'm a 19-year-old aerospace student. I spent the last 13 months building a custom Linux distro from scratch because I wanted to see if we could treat the OS kernel as a mathematical engine rather than a deterministic administrator. The Stack: Flux (The Shell): A custom math-native shell where x² and ∑ are valid syntax. It parses mathematical notation directly into optimized SIMD instructions (no Python wrapper). Tenet (The Scheduler): Written in Tenet (my custom DSL for game theory). The scheduler is a Nash Equilibrium solver compiled to native code. In my benchmarks (Ryzen 7 5800HS),…
Feb 2026 · fawazishola.ca
- 6NA
Hi, over the past few months I've been working on this project: Numax is a small Rust runtime that does three things: it runs WebAssembly modules in a sandbox, has a built-in local key-value store, and syncs everything across nodes with CRDTs and gossip. Basically, you write a wasm module, run it on two machines, and they converge (I hope !). It's a decentralized system... I hope someone finds it interesting! There's a whitepaper I've put a lot into, and I think the code isn't bad either! I believe there's still room in this world for software that's fun and well made, and while building…
Jun 2026 · github.com
- 7RI
2020 · github.com
- 8
Axiom▲11Local desktop sandbox engine against Client-Side Scanning
Jul 2026 · gabrielgigitashvili044-pixel.github.io
- 9
- 10CA
Hey HN, just wanted to share a fun, vibe-coded Friday night experiment: a little playground for writing cellular automata in a subset of Rust, which is then compiled into WGSL. Since it lets you dynamically change parameters while the simulation is running via a TUI, it's easy to discover weird behaviors without remembering how you got there. If you press "s", it will save the complete history to a JSON file (a timeline of the parameters that were changed at given ticks), so you can replay it and regenerate the discovery. You can pan/zoom, and while the main simulation window is in…
Feb 2026 · github.com
- 11G2
2019 · loicbourgois.github.io
- 12
- 13
- 14SM
Hi HN, we are building SimBricks, an open-source simulation framework for heterogeneous systems, especially with custom hardware. SimBricks modularly combines existing simulators for machines, networks, and hardware, allowing you to build, test, and evaluate intricate complete systems in a virtual environment. Head over to the SimBricks website (https://simbricks.github.io/, also has a quick demo video) to learn more. We have pre-built docker images, and you can even immediately play around on codespaces. Concrete use-cases: - Evaluate HW accelerators, from early design with…
2024 · simbricks.github.io
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- 16
We have built Tarit as a hypervisor built from ground up for running AI agent and RL environments. It is based on rust-vmm and can be used as a replacement for firecracker. Firecracker was built to serve a different need of primarily serverless compute and hence does not have primitives like live snapshots without pausing the VM operations. We also provide a basic orchestrator that handles placement of the microVMs, creating clusters with HA, maintaining a warm pool of VMs, and takes care of setting up networking and monitoring. Our benchmarks on a metal instance shows an acquire VM from…
Jul 2026 · github.com
- 17OA
it won't let me put url for some reason, here it is: https://github.com/octopii-rs/octopii
Nov 2025
- 18AI
2017 · github.com
- 19AA
Hi, I built Axiomeer, an open-source marketplace protocol for AI agents. The idea: instead of hardcoding tool integrations into every agent, agents shop a catalog at runtime, and the marketplace ranks, executes, validates, and audits everything. How it works: - Providers publish products (APIs, datasets, model endpoints) via 10-line JSON manifests - Agents describe what they need in natural language or structured tags - The router scores all options by capability match (70%), latency (20%), cost (10%) with hard constraint filters - The top pick is executed, output is validated (citations…
Feb 2026 · github.com
- 20T5
2021 · tensorbase.io
- 21RA
2017 · github.com
- 22OA
Dec 2025 · github.com
- 23FR
I built sensor fusion for a mobile robot and reached for robot_localization like everyone does. After spending too long fighting navsat_transform, UTM zone boundaries, and YAML covariance tuning, I wrote my own. FusionCore is a 22 state UKF that fuses IMU, wheel encoders, and GPS in ECEF directly (no coordinate projection, no extra node). It estimates IMU bias, adapts its noise covariance automatically from the innovation sequence, and gates outliers with a chi squared test on every sensor. I benchmarked it against robot_localization EKF on 6 sequences from the NCLT public dataset…
Apr 2026 · github.com
- 24
Combining (1) open-source autopilots with (2) open-source ROS2 simulation/navigation/mapping packages and (3) open-source, hardware-accelerated computer vision should not be hard, but it is. aerial-autonomy-stack aims to solve this by collapsing (1) multi-robot, (2) software-in-the-loop, (3) hardware-in-the-loop simulation, (4) CI/CD, and (5) deployment into a single containerized workflow. The end-to-end stack can be re-created/simulated with a one-liner (45') build on Ubuntu >=22.
Jun 2026 · github.com
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