IQuest has released IQuest-Q1, a Mixture-of-Experts (MoE) model designed for agentic coding, reasoning, and multi-step tool use. The model comprises approximately 320 billion total parameters, with an estimated 15 billion parameters activated per token. It is available on Hugging Face.
IQuestLab releases IQuest-Q1, a 320B MoE model for agentic coding
H Company releases Holo4 open-weight computer-use models for desktop, web, and mobile
H Company has released Holo4, a family of generalist computer-use vision-language models designed to click, type, write code, and call tools across desktop, web, Android, and API environments. The release includes two model sizes: Holo4 27B (dense) and Holo4 35B-A3B (Mixture of Experts with 3B active parameters), both supporting a 256K context window.
Tmax: A Simple RL Recipe for Terminal Agents
Tmax presents the strongest open RL recipe for terminal agents, achieving 27% on Terminal-Bench 2.0 with only 9B parameters. It uses a novel data taxonomy to generate over 2.5x more terminal environments than prior datasets, enabling efficient training with a simple, outcome-only recipe. The dataset, models, and code are open-sourced at https://github.com/hamishivi/tmax.
User as Engram: Local Parametric Edits for Personal Memory
User as Engram proposes storing per-user facts as surgical, hash-keyed edits to a memory table, leaving reasoning in a shared adapter. This design achieves 5.6x higher indirect-reasoning accuracy and maintains base-level reasoning performance, with a memory footprint 33,000x smaller than per-user LoRA. The approach enables disjoint user edits that compose losslessly, outperforming retrieval pipelines beyond 100 facts.
OWL achieves #1 on GAIA benchmark with 69.09% score
The OWL framework for multi-agent collaboration has achieved the top ranking among open-source frameworks on the GAIA benchmark, attaining a score of 69.09%. This result was announced in April 2025, following an earlier achievement of 58.18% in March.
Open-source DeepResearch reproduction achieves 55.15% on GAIA using smolagents
Following OpenAI's release of Deep Research, a team reproduced its agentic framework in 24 hours and open-sourced the implementation via the smolagents library. The resulting system integrates an LLM with tools for web browsing and text inspection to perform multi-step reasoning tasks.