agentic

BAP-SQL presents a budget-aware observation planning approach for agentic text-to-SQL, treating SQL query choice as a budget-control decision to improve tight-budget success while reducing token usage.

WorldClaw is an agentic coarse-to-fine framework that generates large-scale, explorable 3D open worlds from text prompts, using planning agents and terrain-conditioned composition to produce coherent global structure and editable instance-level assets.

Introduces ToolArtist, a fully agentic image generation model built from a unified multimodal model, using SFT and reinforcement learning (RAD-GRPO) to dynamically orchestrate reasoning, tool use, and image generation.

Kiro Crew is an open-source agentic development workspace that helps developers build with AI agents.

Liquid AI released LFM2.5-2.6B, a new tiny model focused on agentic capabilities. The author is excited to test it for high-volume tasks like document summarization.

A user shares hands-on impressions of V4-Flash-0731 after a weekend of testing, noting that quantization heavily degrades performance, Q3 weights can replace Qwen3.6-27B in agentic workflows, and full precision approaches GLM 5.2-level capability at remarkably low cost, though it is weak in general knowledge.

DeepSeek released the official DeepSeek-V4-Flash-0731 weights on Hugging Face, superseding the preview version with enhanced agentic capabilities and competitive benchmark results.

Inkling-Small, a 12B active parameter model with 276B total parameters, is released with full open weights, matching Inkling's performance on reasoning and agentic tasks at a quarter the size.

Arcee.ai's Trinity-Mini (26B) was post-trained by Loka in collaboration with PrimeIntellect and AWS to become an agentic harness for scientific research, enabling multi-step workflows and tool coordination.

This paper presents VLD-RAG, an agentic multimodal retrieval-augmented generation framework for question answering over long, visually-rich documents. It uses a page-preserving index and a verifier-guided agent workflow to improve cross-page evidence retrieval and reasoning, outperforming prior vision-based baselines on benchmarks like LongDocURL and MMLongBench-Doc.

MoonshotAI releases Kimi-K3, a 2.8T-parameter open-weight multimodal agentic model with a 1M-token context window, built on new Kimi Delta Attention and Attention Residuals architecture, achieving significant scaling improvements.

Kimi K3 is an open-weight 2.8T-parameter native multimodal agentic model with a novel architecture (KDA, AttnRes), 1M token context, and open-source MoE framework.

This paper introduces a controlled multi-turn environment to systematically study long-horizon planning ability in foundation model agents across pre-training, post-training (via GRPO and on-policy distillation), and integration (via multi-teacher on-policy distillation) stages.

llama.cpp now fully supports the Model Context Protocol (MCP) for all protocols, enabling agentic chat and tool integration directly in its WebUI without external dependencies.

AutoDev Studio is an open-source, model-agnostic multi-agent SDLC harness that orchestrates a chain of agents to automate the software development lifecycle, reducing costs by 7–75% compared to Claude Code for similar tasks.

ADE is a free, synced development environment for coding agents.

Upstage released Solar Open2 250B, a 250B-parameter mixture-of-experts model with only 15B active parameters, featuring hybrid attention for efficient long-context inference up to 1M tokens, designed for agentic use cases such as tool calling and multi-step reasoning.

Upstage released Solar Open 2, a 250B-parameter open-weight MoE model with hybrid attention, delivering performance comparable to DeepSeek V4 Flash while being efficient for agentic workflows.

Elon Musk announces Grok Build, a new feature that allows users to talk to Grok like a person using speech-to-text for task completion, including coding tasks.

Poolside releases Laguna S 2.1, a 118B total parameter Mixture-of-Experts model with 8B activated parameters per token and up to 1M token context, achieving competitive scores on long-horizon coding benchmarks and touted as the most capable agentic coding model in its weight class.