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DeepSeek-R1 achieves reasoning on par with OpenAI o1 via pure RL without supervised fine-tuning.","key_advantages":"Exceptional training cost-efficiency, novel MLA architecture, strong reasoning via RL, fully open weights, distilled variants from 1.5B to 70B","memory_footprint":"37B active (MoE)","binary_size":null,"homepage":"https://www.deepseek.com","github":null,"category":"chinese-enterprise","added_at":"2026-04-01 14:02:59","stars":0,"forks":0,"github_updated":null,"scores":"{\"community\":8.5,\"ecosystem\":7.5,\"efficiency\":6,\"autonomy\":6.5,\"enterprise\":7}"},{"id":13,"slug":"qwen","name":"Qwen","developer":"Alibaba Cloud","language":"Python / TypeScript","positioning":"Most prolific Chinese open-source AI family","description":"Qwen spans 100+ open-weight models from 0.6B to 32B, plus MoE and multimodal variants. Includes Qwen-Agent framework with function calling, MCP, and code interpreter, plus a terminal coding agent.","key_advantages":"Broadest model lineup, full agent framework, Apache 2.0 licensing, dedicated terminal coding agent, 40M+ downloads","memory_footprint":"1.5 GB - 64 GB","binary_size":null,"homepage":"https://qwen.ai","github":"https://github.com/QwenLM/Qwen","category":"chinese-enterprise","added_at":"2026-04-01 14:02:59","stars":21112,"forks":1804,"github_updated":null,"scores":"{\"community\":8,\"ecosystem\":7,\"efficiency\":5.5,\"autonomy\":6,\"enterprise\":7.5}"},{"id":14,"slug":"chatglm","name":"ChatGLM","developer":"Zhipu AI","language":"Python","positioning":"Bilingual LLM with strong coding and agent capabilities","description":"ChatGLM is a family of bilingual Chinese/English LLMs from Tsinghua University spinoff Zhipu AI. GLM-4.5 is a 355B MoE model with multimodal variants including CogVLM and CogVideoX.","key_advantages":"Strong bilingual performance, deep coding integration via CodeGeeX, multimodal ecosystem, Apache 2.0 licensed, active open-source community","memory_footprint":"12 GB (6B model)","binary_size":null,"homepage":"https://zhipuai.cn","github":"https://github.com/zai-org/ChatGLM3","category":"chinese-enterprise","added_at":"2026-04-01 14:02:59","stars":13702,"forks":1599,"github_updated":null,"scores":"{\"community\":7,\"ecosystem\":6,\"efficiency\":5,\"autonomy\":5.5,\"enterprise\":7}"},{"id":15,"slug":"kimi","name":"Kimi","developer":"Moonshot AI","language":"Python","positioning":"Trillion-parameter agent with native vision","description":"Kimi K2 is a 1T-parameter MoE model (32B active) with SOTA performance among non-thinking models. K2.5 adds native vision via MoonViT, enabling agentic tasks like replicating website user journeys from video.","key_advantages":"Massive 1T parameter scale, strong agentic and visual capabilities, OpenAI-compatible API, video-to-action workflows, Modified MIT license","memory_footprint":"32B active (MoE)","binary_size":null,"homepage":"https://www.kimi.com","github":"https://github.com/MoonshotAI/Kimi-K2","category":"chinese-enterprise","added_at":"2026-04-01 14:02:59","stars":10746,"forks":827,"github_updated":null,"scores":"{\"community\":6.5,\"ecosystem\":5.5,\"efficiency\":5,\"autonomy\":6,\"enterprise\":6}"},{"id":16,"slug":"ernie","name":"ERNIE Bot","developer":"Baidu","language":"Python / PaddlePaddle","positioning":"Native multimodal foundation model","description":"ERNIE 4.5 is a native multimodal model processing text, images, and video. Baidu open-sourced 10 models in the series under Apache 2.0, including a 47B MoE model with only 3B active parameters.","key_advantages":"Backed by Baidu search/knowledge graph, native multimodal from the ground up, PaddlePaddle ecosystem, multi-hardware compatibility","memory_footprint":"6 GB (3B active)","binary_size":null,"homepage":"https://yiyan.baidu.com","github":"https://github.com/PaddlePaddle/ERNIE","category":"chinese-enterprise","added_at":"2026-04-01 14:02:59","stars":7706,"forks":1446,"github_updated":null,"scores":"{\"community\":6,\"ecosystem\":5,\"efficiency\":4.5,\"autonomy\":5,\"enterprise\":7.5}"},{"id":17,"slug":"doubao","name":"Doubao","developer":"ByteDance","language":"Python","positioning":"China's most popular AI assistant — 155M weekly users","description":"Doubao 2.0 is ByteDance's agent-era AI that decomposes complex objectives into executable sub-tasks using advanced reasoning chains. Doubao-Seed-Code achieved SOTA on SWE-Bench-Verified.","key_advantages":"Largest Chinese AI user base, ByteDance distribution network, SOTA coding agent, agent-oriented architecture, e-commerce integration","memory_footprint":"Cloud-based","binary_size":null,"homepage":"https://www.doubao.com","github":null,"category":"chinese-enterprise","added_at":"2026-04-01 14:02:59","stars":0,"forks":0,"github_updated":null,"scores":null},{"id":18,"slug":"minimax","name":"MiniMax","developer":"MiniMax Group","language":"Python","positioning":"Lightning Attention pioneer for long-context AI","description":"MiniMax develops multimodal AI with a novel Lightning Attention mechanism. M2.5 achieves SOTA in coding, tool use, and agentic workflows. Served 236M+ users across 200+ countries via Talkie and Hailuo AI.","key_advantages":"Lightning Attention for efficient long-context, strong agentic performance, 200x cheaper training than GPT-4, publicly traded company, consumer products","memory_footprint":"10B active (MoE)","binary_size":null,"homepage":"https://www.minimax.io","github":null,"category":"chinese-enterprise","added_at":"2026-04-01 14:02:59","stars":0,"forks":0,"github_updated":null,"scores":"{\"community\":4,\"ecosystem\":3.5,\"efficiency\":5,\"autonomy\":4.5,\"enterprise\":5}"},{"id":19,"slug":"yi","name":"Yi","developer":"01.AI (Kai-Fu Lee)","language":"Python","positioning":"Punches above its weight — bilingual efficiency champion","description":"Yi series from Kai-Fu Lee's 01.AI includes models that outperformed LLaMA2-70B at a fraction of the size. Yi-34B is fully bilingual English/Chinese with commercially permissive licensing.","key_advantages":"Exceptional benchmark performance per parameter, 40% training cost reduction, bilingual from the start, commercially permissive license","memory_footprint":"12 GB (6B) / 68 GB (34B)","binary_size":null,"homepage":"https://www.01.ai","github":"https://github.com/01-ai/Yi","category":"chinese-enterprise","added_at":"2026-04-01 14:02:59","stars":7823,"forks":486,"github_updated":null,"scores":"{\"community\":6,\"ecosystem\":5,\"efficiency\":5.5,\"autonomy\":5,\"enterprise\":5.5}"},{"id":20,"slug":"spark","name":"Spark","developer":"iFlytek","language":"Python","positioning":"Voice-first AI trained entirely on domestic Chinese hardware","description":"Spark X1.5 is a 293B MoE model (30B active) with 130+ language support. Built on iFlytek's decades of speech AI expertise with leading voice cloning and mathematical reasoning capabilities.","key_advantages":"Trained on domestic Chinese hardware, leading voice/speech integration, 9.68M developer ecosystem, strong math reasoning, 130+ language support","memory_footprint":"30B active (MoE)","binary_size":null,"homepage":"https://xinghuo.xfyun.cn","github":null,"category":"chinese-enterprise","added_at":"2026-04-01 14:02:59","stars":0,"forks":0,"github_updated":null,"scores":"{\"community\":4.5,\"ecosystem\":3.5,\"efficiency\":4.5,\"autonomy\":4,\"enterprise\":6}"},{"id":3,"slug":"nanoclaw","name":"NanoClaw","developer":"Community (Container-native)","language":"Container / Multi-lang","positioning":"Secure Sandbox Version","description":"Runs each Skill in OS-level sandboxes (Apple Sandbox or Docker), directly addressing OpenClaw RCE risks. Best personal alternative for users prioritizing security.","key_advantages":"OS-level isolation, RCE attack prevention, lightweight","memory_footprint":"~400 MB","binary_size":"~15 MB","homepage":"https://nemoclaw.bot/nanoclaw-secure-ai-agent.html","github":"https://github.com/qwibitai/nanoclaw","category":"community","added_at":"2026-03-17 06:29:21","stars":28655,"forks":12774,"github_updated":null,"scores":"{\"community\":3.5,\"ecosystem\":3,\"efficiency\":9,\"autonomy\":4.5,\"enterprise\":3.5}"},{"id":4,"slug":"picoclaw","name":"PicoClaw","developer":"Sipeed","language":"Go","positioning":"Embedded / Low-power","description":"Optimized for RISC-V and ARM embedded boards, capable of 24/7 operation on $10 devices. Features Whisper voice integration, making it ideal for physical AI assistants and IoT deployments.","key_advantages":"Supports $10 hardware, Whisper voice integration, RISC-V/ARM optimized","memory_footprint":"<10 MB","binary_size":"~5 MB","homepage":"https://nemoclaw.bot/picoclaw-embedded-ai-agent.html","github":"https://github.com/sipeed/picoclaw","category":"community","added_at":"2026-03-17 06:29:21","stars":28828,"forks":4129,"github_updated":null,"scores":null},{"id":5,"slug":"zeroclaw","name":"ZeroClaw","developer":"Community","language":"Rust","positioning":"High-performance Minimalist","description":"Ultra-fast, ultra-light Claw variant written in Rust. Sub-10ms startup time and minimal footprint make it ideal for scripting, automation, and edge computing.","key_advantages":"Ultra-fast startup (<10ms), high concurrency, edge-deployable","memory_footprint":"~8 MB","binary_size":"~3.4 MB","homepage":"https://nemoclaw.bot/zeroclaw-rust-ai-agent.html","github":"https://github.com/zeroclaw-labs/zeroclaw","category":"community","added_at":"2026-03-17 06:29:21","stars":31100,"forks":4577,"github_updated":"2026-03-29 07:05:52","scores":"{\"community\":6.5,\"ecosystem\":5.5,\"efficiency\":7,\"autonomy\":6,\"enterprise\":8}"},{"id":6,"slug":"nullclaw","name":"NullClaw","developer":"Community","language":"Zig","positioning":"Extreme Lightweight","description":"The absolute minimum. No dependencies, sub-1MB binary — ideal for the most resource-constrained environments.","key_advantages":"Minimal footprint, no dependencies, extreme efficiency","memory_footprint":"~1 MB","binary_size":"<500 KB","homepage":null,"github":"https://github.com/nullclaw/nullclaw","category":"community","added_at":"2026-03-17 06:29:21","stars":7415,"forks":861,"github_updated":null,"scores":"{\"community\":3,\"ecosystem\":2.5,\"efficiency\":5,\"autonomy\":4,\"enterprise\":3}"},{"id":7,"slug":"ironclaw","name":"IronClaw","developer":"Community","language":"C++","positioning":"High-performance / Industrial","description":"Built for stability and long-term continuous operation in industrial environments. C++ core ensures predictable performance over extended uptime.","key_advantages":"High stability, long-term operation, industrial-grade reliability","memory_footprint":"~50 MB","binary_size":"~8 MB","homepage":null,"github":"https://github.com/nearai/ironclaw","category":"community","added_at":"2026-03-17 06:29:21","stars":12161,"forks":1408,"github_updated":null,"scores":null},{"id":10,"slug":"nanobot","name":"nanobot","developer":"HKUDS","language":"Python","positioning":"Ultra-Lightweight Personal AI Assistant","description":"Delivers core agent functionality with 99% fewer lines of code than OpenClaw.","key_advantages":"99% fewer lines of code, lightweight, fast, easy-to-use","memory_footprint":"~15 MB","binary_size":"~5 MB","homepage":"https://github.com/HKUDS/nanobot","github":"https://github.com/HKUDS/nanobot","category":"community","added_at":"2026-03-21 00:24:03","stars":41888,"forks":7363,"github_updated":"2026-03-29 07:05:52","scores":"{\"community\":8,\"ecosystem\":7,\"efficiency\":5,\"autonomy\":7,\"enterprise\":6}"},{"id":11,"slug":"agent-zero","name":"Agent Zero","developer":"Atticus","language":"Python","positioning":"Multi-Agent Swarm Platform","description":"Multi-agent collaboration platform with Docker container isolation. Features hierarchical agent swarms, web UI, and comprehensive tool support. Best for teams needing collaborative AI agents with security isolation.","key_advantages":"Multi-agent swarms, Docker isolation, web UI, Python-based, team collaboration","memory_footprint":"~200 MB","binary_size":"~50 MB","homepage":"https://agent-zero.io","github":"https://github.com/agent0ai/agent-zero","category":"community","added_at":"2026-03-29 07:05:14","stars":17574,"forks":3585,"github_updated":null,"scores":"{\"community\":7,\"ecosystem\":6,\"efficiency\":4.5,\"autonomy\":8,\"enterprise\":5.5}"},{"id":21,"slug":"hermes-agent","name":"Hermes Agent","developer":"Nous Research","language":"Python","positioning":"Self-Improving Autonomous Agent","description":"Self-improving AI agent with automatic skill creation from experience. Features 40+ built-in tools, 6 deployment backends (local, Docker, SSH, Modal, Daytona, Singularity), 5+ messaging platforms (Telegram, Discord, Slack, WhatsApp, Signal, Email, CLI), works with 200+ models via OpenRouter. Server-first design with sandboxed execution and container hardening. Gets smarter over time by auto-creating skills from experience.","key_advantages":"Self-improving learning loop, 40+ tools, 6 deployment backends, 200+ model support via OpenRouter, migration tool from OpenClaw, sandboxed execution","memory_footprint":"~1.2 GB","binary_size":"~50 MB","homepage":"https://hermes-agent.nousresearch.com/","github":"https://github.com/NousResearch/hermes-agent","category":"community","added_at":"2026-04-02 00:26:16","stars":136871,"forks":21031,"github_updated":null,"scores":"{\"community\":7.5,\"ecosystem\":6.5,\"efficiency\":5,\"autonomy\":7.5,\"enterprise\":6.5}"},{"id":2,"slug":"nemoclaw","name":"NemoClaw","developer":"NVIDIA","language":"Python / NeMo","positioning":"Enterprise-grade Security Platform","description":"NVIDIA NemoClaw is an open source stack that adds privacy and security controls to OpenClaw. Uses NVIDIA OpenShell to enforce policy-based guardrails, routes inference through Nemotron models, and supports sandboxed deployments via Docker. The most significant fork release after OpenClaw itself.","key_advantages":"Built-in privacy & compliance, GPU acceleration (Nemotron), sandboxed execution, enterprise toolchain integrations (Jira, GitHub Enterprise, Slack)","memory_footprint":"Enterprise server","binary_size":null,"homepage":"https://www.nvidia.com/en-us/ai/nemoclaw/","github":"https://github.com/NVIDIA/NemoClaw","category":"enterprise","added_at":"2026-03-17 06:29:21","stars":20174,"forks":2592,"github_updated":"2026-03-22T03:46:32Z","scores":"{\"community\":7.7,\"ecosystem\":6.9,\"efficiency\":4,\"autonomy\":7.5,\"enterprise\":9.5}"},{"id":1,"slug":"openclaw","name":"OpenClaw","developer":"OpenClaw / OpenAI (acquired)","language":"TypeScript / Node.js","positioning":"All-in-one Personal Assistant","description":"The original and most widely deployed Claw AI agent. Features the richest ecosystem with 5,000+ official and community skills, covering everything from everyday tasks to automated code review.","key_advantages":"Richest ecosystem, most Skills (5,000+), strongest community, OpenAI integration","memory_footprint":"~1.5 GB","binary_size":"~28 MB","homepage":"https://openclaw.ai","github":"https://github.com/openclaw/openclaw","category":"official","added_at":"2026-03-17 06:29:21","stars":369276,"forks":76189,"github_updated":"2026-03-22T03:45:59Z","scores":"{\"community\":10,\"ecosystem\":10,\"efficiency\":3,\"autonomy\":8.5,\"enterprise\":7.5}"},{"id":9,"slug":"clawnews","name":"ClawNews","developer":"OpenClaw Community","language":"Node.js / SQLite","positioning":"Agent-Native News & Intelligence Platform","description":"The #1 daily news and intelligence hub for the OpenClaw ecosystem. First agent-native social platform where AI agents are primary users. Features API-first design, agent-to-agent communication, and technical discussions about agent infrastructure.","key_advantages":"API-first design, agent-native platform, technical infrastructure discussions, agent identity verification, built-in agent-to-agent protocols","memory_footprint":"Lightweight","binary_size":"~5 MB","homepage":"https://clawnews.org","github":null,"category":"platform","added_at":"2026-03-17 23:20:11","stars":0,"forks":0,"github_updated":null,"scores":null}]