Curated reviews of mainstream AI models, agents, and dev tools — capabilities, use cases, and how they compare.
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SandBase is an AI Agent infrastructure platform designed for developers, positioned as a one-stop runtime foundation for agents. The platform enables unified access to over 2000 model and data APIs vi...

FlashProve is an open-source verifiable reasoning system developed by Anthropic based on zero-knowledge proofs (zk-SNARK). Its core value lies in enabling model service providers to offer cryptographi...

Super-agent is a continuous online Agent system architecture introduced by the DeepSeek Harness team. Through a dual-layer design, event-driven mechanism, asynchronous multi-channel interaction, stora...
Xiaomi-OCR-0 is a lightweight multimodal document understanding model with a 0.8B parameter scale, open-sourced by Xiaomi Corporation. It is trained based on the Qwen3.5-0.8B base model. This model un...
Cindy is an open-source AI Agent workbench that users can deploy on their own devices. It integrates multiple mainstream Agent engines, such as Claude Code, Codex, and Pi, through a unified graphical ...

MemT 1.0 is the industry's first memory-native foundation model introduced by the MemTensor team, and it is now fully open-sourced. This model eliminates the traditional reliance of large language mod...
Eleven Realtime is a unified voice agent model series introduced by ElevenLabs, featuring two versions: v1 Mini and v1 Max. Its core design philosophy is to integrate speech recognition (ASR), languag...
CleanYourTV is an open-source Android TV system optimization tool that connects to Android TVs via Wi-Fi using the ADB (Android Debug Bridge) protocol. It leverages AI Agents such as Claude Code, Code...

MiniCPM-V 4.7 is an open-source edge multi-modal large model series jointly developed by Skyline AI and the OpenBMB community, featuring two versions: 35B-A3B (MoE architecture) and 1B. The flagship 3...
QwenGyre is an online reinforcement learning framework introduced by the Alibaba Qwen team, specifically designed for long-horizon agent tasks that involve executing approximately 700,000 tokens in a ...
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