The AI agent landscape just witnessed two major shifts this weekend. Hermes Agent — an open-source, self-learning AI agent from Nous Research — has overtaken OpenClaw to claim the #1 spot on OpenRouter’s global token consumption leaderboard. Meanwhile, Redis creator Salvatore Sanfilippo (antirez) released ds4, a dedicated inference engine that runs DeepSeek V4 Flash entirely offline on a MacBook Pro. Here’s what you need to know.
Hermes Agent: The “Self-Learning” Agent That Beat OpenClaw
On May 9, 2026, Hermes Agent surpassed OpenClaw on the OpenRouter application token consumption chart, recording a staggering 271 billion tokens in a single day. That’s enough to power millions of complex AI tasks — far beyond simple Q&A.
What makes Hermes unique compared to OpenClaw? It learns. Hermes features persistent memory, accurate recall, and a complete self-learning mechanism that allows it to autonomously create and optimize its own skills over time. This “grows smarter with use” design has helped it amass over 140,000 GitHub stars — doubling in just one month — with 21,800 forks.
Xiaomi’s MiMo V2 Pro Leads the Model Pack
Interestingly, the top model powering Hermes this month is MiMo-V2-Pro from Xiaomi, followed by MiniMax M2.7, NVIDIA’s Nemotron 3 Super, Step 3.5 Flash from Stepfun, and Tencent’s Hy3 preview. This marks a significant moment: a Chinese smartphone maker’s AI model is now the backbone of the world’s most-used open-source agent — a testament to how global the AI race has become.
DeepSeek V4 Flash: Free Local AI Agent on Your MacBook
In parallel, another story is reshaping how developers think about AI costs. Salvatore Sanfilippo — the legendary creator of Redis — has released ds4, a custom inference engine built specifically for DeepSeek V4 Flash. The result? A 284-billion parameter MoE model, running entirely on a 128GB MacBook Pro, with zero API costs.
DeepSeek V4 Flash uses a Mixture-of-Experts architecture: 284B total parameters, but only 13B activated per inference. This makes it uniquely suited for local deployment. antirez’s ds4 engine uses three clever optimizations:
- Asymmetric 2-bit quantization: Compresses the “spare” expert parameters to 25% of original size while keeping critical pathways at full precision
- KV cache on SSD: Moves the attention cache to the Mac’s SSD (which is fast enough), enabling the full 1-million-token context window without exhausting RAM
- Pure Metal native path: Optimized specifically for Apple Silicon GPUs, achieving ~26 tokens/sec on an M3 Max and ~36 tokens/sec on an M3 Ultra
This means a ₹2.5 lakh MacBook Pro can now replace a ₹50 lakh server setup for running DeepSeek V4 Flash. Developers are already adopting a hybrid approach: local ds4 for daily coding and simple agent tasks, and cloud APIs only for complex architecture problems.
What This Means for India’s AI Community
For Indian developers and startups, these developments are particularly significant:
- Cost arbitrage: Local inference with ds4 eliminates token costs entirely for high-volume agent tasks — a game-changer for bootstrapped Indian SaaS startups
- Data sovereignty: Running AI locally means sensitive data never leaves your machine, critical for BFSI and healthcare compliance in India
- Open-source momentum: Hermes and ds4 both validate that open-source AI agents can compete with — and beat — closed alternatives
- MiMo’s rise: Xiaomi’s model topping the Hermes leaderboard shows Asian tech giants are serious AI contenders
The Bigger Picture: AI Agent Wars Are Heating Up
Hermes’s token consumption surpasses multiple AI coding assistants (Claude Code at 79.2B, Kilo Code at 149B). The boundary between coding assistants and general-purpose agents is blurring fast. As one industry watcher noted: “SaaS built moats on workflows and permissions. Future agents will build moats on ‘gets you’ and ‘gets things done’.”
Meanwhile, DeepSeek’s timing is impeccable. With the company seeking $7.35 billion in new funding, having a legendary developer like antirez build a dedicated engine for their model sends a powerful signal: DeepSeek is becoming infrastructure — not just a service, but a material embedded in developer toolchains worldwide.
The agent era isn’t coming — it’s already here. And for the first time, you can run a world-class agent on your laptop, for free.