Apodex 1.0 dropped and the architecture is genuinely different.
It's post-trained on Qwen3.5 as a self-evolving system: math, coding, and general knowledge stay intact while deep-research ability compounds over time. No catastrophic forgetting. That balance is harder to build than it sounds.
The heavy-duty side: the 1.0-H model runs up to 150 sub-agents in parallel, all exploring the web simultaneously. A separate verification layer audits every claim before the final report assembles. Not just search plus summarize. There's actual conflict resolution baked into the pipeline.
Numbers: BrowseComp 90.3, DeepSearchQA 94.4, HLE-text 60.8. SOTA across open and closed source right now.
The part worth sitting with: their 4B mini model beats every 30B-class open model on BrowseComp and DeepSearchQA. Smaller, cheaper, better at research. The scaling story is quietly shifting.
Underneath all of it is AgentOS, a task-agnostic runtime handling scheduling, routing, checkpoints, and cost accounting. Workflow logic sits in plugins above it, so adding a new app is just a folder of code.
Open weights too. Worth a look if you're building research pipelines or thinking about how agent orchestration should actually be structured.
Apodex (@Apodex_AI)
Dive in 👇
📝 Blog: apodex.com/blog/apodex-1.0
📄 Tech report: apodex.com/pdf/20260608
💻 Github: github.com/ApodexAI/AgentHar…
🤗 Hugging Face: huggingface.co/collections/a…
💬 Discord: discord.gg/TDJA59TCng2
⏬ API Platform：platform.apodex.ai/
— https://nitter.net/Apodex_AI/status/2064014807456735653#m