NVIDIA Nemotron 3 Ultra Leads Open Models on Accuracy and Efficiency in Agentic RTL Coding
Modern chip design is increasingly limited by engineering time. Register transfer level (RTL) development and verification require specialized hardware...
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Six Agent Harness Capabilities for Higher Model Performance
Building a great AI agent isn’t just about choosing the right models. The harness is the architecture surrounding the model. How it renders context, executes...
How to Self-Host a Validated AI Coding Assistant with NVIDIA NeMo Guardrails
Deploying an AI coding assistant in a regulated, sovereign, or source-sensitive environment, often comes with challenges. Three common issues are: the source...
Four Ways to Deploy More Secure AI Agents
Knowledge workers are increasingly integrating AI agents into their workflows. Agents that function as "digital coworkers" offer clear benefits. For example,...
NVIDIA Video Codec SDK 13.1: Zero-Copy Transcode, AV1 B-Frames, and Frame-Accurate Seek
The demand for high-quality video continues to accelerate across industries, powering everything from immersive streaming experiences to remote collaboration,...
Route AI Agent Workloads Across Models with NVIDIA NeMo Switchyard
Building an AI agent does not end with choosing a single model. Each model has its own strengths, weaknesses, and cost profile, which can shift from one...
Evaluating AI Agent Skill Performance with NVIDIA SkillEvaluator
AI agents are only as effective as the context they receive. Even with capable models and well-documented NVIDIA libraries, agents can spend extra steps finding...
Developing NVIDIA Holoscan Applications with CLI, Skills, and AI Coding Agents
NVIDIA Holoscan is a platform for building real-time AI applications at the edge, from medical imaging to robotics. HoloHub is its companion repository: a...
CrewAI 发布: 1.15.17
## What's Changed ### Features - Add declarative conversational flows documentation - Synthesize built-in conversational methods for declarations - Enable declarations to drive conversational mode - Make conversational opt-in unmistakable - Carry the AMP slug
Transformers 发布: Patch release: v5.15.1
# Patch release v5.15.1 This patch most notably solves a few issues with DFlash and MTP candidate generators, as well as an issue where images could sometimes not be processed on accelerator if using Lanczos filter. It contains the following commits: - Fix DFl
Ollama 发布: v0.32.14
## What's Changed * llm: transcode WebP images for llama-server * renderers/qwen: tolerate non-leading system messages **Full Changelog**: https://github.com/ollama/ollama/compare/v0.32.13...v0.32.14
CrewAI 发布: 1.15.16
## What's Changed ### Features - Introduce execution context management with UUID support - Record what kind of exception ended a flow - Record when a trace batch is shared with AMP - Count deployments from any origin and record where they started ### Bug Fixe
The Economics of Agent Optimization: From pilots to measurable returns
Learn how AI cost management helps organizations move from AI pilots to measurable ROI through greater visibility, governance, and optimization. The post The Economics of Agent Optimization: From pilots to measurable returns appeared first on Microsoft Azure B
CrewAI 发布: 1.15.15
## What's Changed ### Features - Report flow outcome, duration, and human-in-the-loop signals. ### Bug Fixes - Emit FlowStartedEvent when a boundary hook aborts the flow. - Scope span export to our own tracer provider. - Bump torch to version 2.13.0 to address
Transformers 发布: Release: v5.15.0
# Release v5.15.0 ## New Model additions ### Meta Muse Glimmer Muse Glimmer, released today, is Meta’s new multimodal model, especially designed for agentic use cases. Distilled from Muse to 30B parameters, and released under the Apache 2.0 license, it can be
CrewAI 发布: 1.15.14
## What's Changed ### Features - Split runtime context from coding agent and add project ID ### Documentation - Update snapshot and changelog for v1.15.13 ## Contributors @joaomdmoura
CrewAI 发布: 1.15.13
## What's Changed ### Bug Fixes - Fix preservation of provider on LiteLLM-routed models. - Harden brittle LLM event-bus mocks. - Fix underreporting of Anthropic cache token usage. - Bump h2 to version 4.4.1 to address security vulnerability GHSA-6hr6-w5qg-qmwg
AgentScope 发布: v2.0.6
## Highlight - Support **channels** (Feishu and Discord) in AgentScope (#1997) - Support **Apple Container** as workspace backend (#2068) - Support MCP & skill hubs/markets in agent service (#2197) - Add **`on_check_permission`** middleware hook (#2001) - Refa
Integrating Context-Aware Video AI Agents Into Enterprise Workflows
A video analytics AI agent that can perceive, reason, and act based on massive amounts of video footage must be integrated with existing workflows and...
Kimi CLI 发布: kosong-0.56.0
chore(release): bump kosong to 0.56.0 (#2581)
Echoverse: Deep, evolving environments for computer-use agents
Computer-use AI agents struggle with multi-step workflows like email and customer support. Echoverse trains agents in realistic environments rather than simply providing more training tasks, helping them improve as the tasks, tests, and environments evolve. Th
MCP Python SDK 发布: v2.0.0
# MCP Python SDK v2 Stable Release This is v2.0.0, the stable v2 release of the MCP Python SDK. It supports the 2026-07-28 revision of the Model Context Protocol and serves every earlier revision from the same server. `pip install mcp` now installs 2.x. ```bas
MCP Python SDK 发布: v1.29.0
## What's Changed * [v1.x] Route Context.report_progress() to the originating request stream by @maxisbey in https://github.com/modelcontextprotocol/python-sdk/pull/2994 * [v1.x] docs: publish llms.txt and markdown renditions of the docs by @maxisbey in https:
MCP Python SDK 发布: v2.0.0rc1
First v2 release candidate. Pre-releases are opt-in only; `pip install mcp` still resolves to the stable 1.x line. ```bash pip install mcp==2.0.0rc1 # or uv add "mcp==2.0.0rc1" ``` The [documentation](https://py.sdk.modelcontextprotocol.io/v2/) has the full tu
AgentScope 发布: v2.0.5
## Highlight **Agent** - Support structured output (#2150) - Support environment information injection (#2134) **Workspace** - Support OpenSandbox (#1953), Daytona (#1943), K8s (#1933), Bubblewrap (#2051) **Tool** - Support PowerShell for Windows (#2132) **RAG
PyTorch 发布: PyTorch 2.13.0 Release
# PyTorch 2.13.0 Release Notes - [Highlights](#highlights) - [Backwards Incompatible Changes](#backwards-incompatible-changes) - [Deprecations](#deprecations) - [New Features](#new-features) - [Improvements](#improvements) - [Bug fixes](#bug-fixes) - [Performa
Kimi CLI 发布: 1.49.0
## What's Changed * fix(kimi): use remaining context for completion budget by @RealKai42 in https://github.com/MoonshotAI/kimi-cli/pull/2494 * fix(kosong): preserve empty-string reasoning_content as ThinkPart by @bigeagle in https://github.com/MoonshotAI/kimi-
Kimi CLI 发布: kosong-0.55.0: chore(release): bump kimi-cli to 1.49.0 and kosong to 0.55.0 (#2503)
Co-authored-by: jackfish212 jackfish212@outlook.com
Transformers 发布: Patch release: v5.14.1
# Patch release v5.14.1 This patch solves a few issues which appeared when integrating Inkling model, most notably an issue affecting models using EncoderDecoderCache during assisted generation. It also fixes an issue that could appear during prefill with Stat
AgentScope 发布: v2.0.4.post1
## What's Changed * fix(gemini): fix gemini schema containing null by @qbc2016 in https://github.com/agentscope-ai/agentscope/pull/2020 * feat(workspace): add K8sWorkspace with Pod/PVC lifecycle, tar-stream backend and MCP gateway support by @XiuShenAl in http