Alternatives
Products that do what MicroSafe-RL does
Adaptive control system for safe engine startup
- 1AT
Github: https://github.com/Arthur-Ficial/apfel
Apr 2026 · apfel.franzai.com
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Configurable safety control for enterprise agent deployment.
Apr 2026 · elevenlabs.io
- 6WP
Anthropic and OpenAI's publicly available models are explicitly guard-railed so that they refuse offensive tasks. And their cyber-focussed models are gated for enterprises. This leaves SMEs and mid market open to major vulnerabilities. AI can be used as both an adversarial and defensive tool in the world of cyber. A worst case outcome is if only the adversaries have access. Meanwhile, most existing AI cyber tools are just wrappers. The problem is that they still have all the guardrails on from the foundation model where they will inherit its refusals. For this project we've post-trained a…
Jun 2026 · argusred.com
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Dear HN community! Looking forward to hearing your feedback on ACE (assured confidential execution), technology that implements VM-based trusted execution environment (TEE) for embedded RISC-V systems with focus on a formally verified and auditable firmware. We target high-assurance systems that can benefit from compartmentalization and hardware-backed isolation. The key ingredient called security monitor (firmware) is implemented in Rust. The formal specification is defined as annotations directly in code and gets translated to Coq using RefinedRust automation. ACE design is now part of the…
2025 · github.com
- 9Aegisora▲93
The narrow control plane for AI agent tool and API calls.
Aug 2026 · aegisora-ai.vercel.app
- 10LF
We're excited to announce that we've open-sourced LeanRL, a lightweight PyTorch reinforcement learning library that provides recipes for fast RL training using torch.compile and CUDA graphs. By leveraging these tools, we've achieved significant speed-ups compared to the original CleanRL implementations - up to 6x faster! Reinforcement learning is notoriously CPU-bound due to the high frequency of small CPU operations. PyTorch's powerful compiler can help alleviate these issues, but comes with its own costs. LeanRL addresses this challenge by providing simple recipes to accelerate your…
2024 · github.com
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- 12FL
Hi HN! We just launched Codacy Guardrails, an IDE extension with a CLI for code analysis and MCP server that enforces security & quality rules on AI-generated code in real-time. It hooks into AI coding assistants (like VS Code Agent Mode, Cursor, Windsurf), silently scanning and fixing AI-suggested code that has vulnerabilities or violates your coding standards, while the code it’s being generated. We built this because coding agents can be a double-edged sword. They do boost productivity, but can easily introduce insecure or non-compliant code. One recent research team at NYU found that 40%…
2025
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The missing reliability layer for production AI.
Apr 2026 · acl.fridayaicore.in
- 16HP
Hey HN After one too many customer firedrills regarding hallucinating or insecure AI models, we built a system to catch these issues before they reached production. The Arthur Engine has been running in Fortune 100 to AI Native Start-Ups over the past two years, putting security controls around more than 10 billion tokens in production every month. We're now opening up this service to developers, enabling you to leverage enterprise-grade solutions to provide guardrails and evals as a service, all for free. Get it on Github (https://github.com/arthur-ai/arthur-engine) to…
2025 · github.com
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I'm one of the creators of The Edge Agent (TEA). We built this because we needed a way to deploy agents that was verifiable and robust enough for production/edge cases, moving away from loose scripts. The architecture aims to solve critical gaps in deterministic orchestration identified by *Prof. Claudionor Coelho Jr. (Stanford alum, ML/DL Faculty at Santa Clara Univ., and Senior Fellow for AI at Majestic Labs)* during our work on the Kiroku project. *Key Technical Features:* * *Neurosymbolic Native:* We integrated Prolog to logically validate LLM outputs. This combines neural…
Jan 2026 · fabceolin.github.io
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We built RapidFire AI, an open-source Python tool to speed up LLM fine-tuning and post-training with a powerful level of control not found in most tools: Stop, resume, clone-modify and warm-start configs on the fly—so you can branch experiments while they’re running instead of starting from scratch or running one after another. - Works within your OSS stack: PyTorch, HuggingFace TRL/PEFT), MLflow. - Hyperparallel search: launch as many configs as you want together, even on a single GPU - Dynamic real-time control: stop laggards, resume them later to revisit, branch promising configs in…
Sep 2025 · github.com
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