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IronClaw is an AI agent framework built by Llion Jones, a co-author of the Transformer paper. It prioritizes sandboxed execution, formal skill verification, and zero-trust architecture. We tested whether security-first means capability-second.
ZeroClaw rewrites OpenClaw's core in Rust, delivering 14x faster skill execution, 90% lower memory usage, and memory safety guarantees. We benchmark it against the original and the competition.
PicoClaw runs OpenClaw-compatible skills on a Raspberry Pi 5. We tested whether a $10 edge AI agent can deliver meaningful automation on hardware you can hold in your hand.
nanobot strips the AI agent concept down to 4,000 lines of Python. No skill marketplace, no social network for bots - just a clean, auditable agent that does what you tell it. We tested whether minimalism holds up.
We spent three weeks with OpenClaw, the open-source AI agent with 200K+ GitHub stars. Its skill ecosystem and autonomous automation are unmatched - but critical security flaws and cost surprises keep it from a recommendation.
Gen-Verse's new open-source framework uses asynchronous reinforcement learning to personalize LLMs through natural conversation - no labeling, no datasets, just feedback.
The French government's digital agency Etalab shipped an open-source MCP server for data.gouv.fr, giving AI agents structured access to 74,000 public datasets without an API key.
AMD invests $250 million in Nutanix to co-develop an open enterprise AI platform using Instinct GPUs, EPYC CPUs, and ROCm - directly challenging Nvidia's CUDA lock-in.
LM Studio 0.4.5 introduces LM Link, built on Tailscale's tsnet library, letting users access local AI models on remote hardware through end-to-end encrypted connections with zero port forwarding.
Alibaba releases official FP8-quantized weights for the Qwen 3.5 flagship and 27B dense model, cutting memory requirements roughly in half and enabling deployment on 8x H100 GPUs with native vLLM and SGLang support.
Nous Research's Hermes Agent is an open-source CLI agent with persistent multi-level memory, cross-platform messaging support, subagent delegation, and a growing skills ecosystem.
DeepSeek's V4 Lite model has leaked through inference provider testing under strict NDAs, revealing a 1M token context window, native multimodal capabilities, and the internal codename sealion-lite.
