agentic

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.

Cura 1T is a healthcare-specialized LLM trained via a human-gated self-evolution loop that iteratively improves on patient consultation, clinical reasoning, and agentic healthcare tasks, achieving top performance on medical benchmarks while maintaining general reasoning ability.

Kilo Code for JetBrains is a native, open-source coding agent that integrates with JetBrains IDEs, supporting local and remote development with parallel agents, GitHub PRs, and access to over 500 models.

Thinking Machines releases Inkling, an MoE model with 975B total / 41B active parameters, supporting native text, image, and audio reasoning, up to 1M-token context, and full weights availability.

The author shares lessons from building an agentic system at work, describing failures with a giant prompt, excessive tools, and dynamic sub-agents, and ultimately finding success with a fixed orchestrator and specialized child agents for each domain.

This paper introduces TRACE (Typed Reasoning And Commitment Evidence), a typed, versioned schema for recording reasoning traces in agentic systems to enable auditability and improve reasoning quality. It defines a reference writer, measurement regime, and consumer contract, with two worked examples illustrating the approach.

This paper diagnoses and proposes SoftClamp, a calibration method that reduces tool-call boundary drift in multi-teacher on-policy distillation for agentic language models, decreasing over-calling while maintaining accuracy.

Ternary Bonsai 27B, a large language model, is demonstrated running locally on an NVIDIA RTX 5090 GPU, requiring under 6GB of memory and enabling end-to-end agentic workflows on consumer hardware.

Kimi K3, the latest open-weight model from Moonshot, launches with a new architecture, agent swarm capabilities, and focus on long-horizon agent workflows, positioning it as a major contender against other top models.

This paper identifies that context learning in LLMs requires not only content acquisition but also specification acquisition, and proposes PSCI (Private Specification-Contract Induction) which extracts local specifications and enforces them via adversarial checking, achieving state-of-the-art results on the CL-Bench benchmark.