搜索“GitHub”

ing stable releases, canary builds, nightly builds, and Docker images, with properly pinned actions and correct permission scoping. Ready to try v1.25.0? Head over to our updating goose guide for step-by-step instructions on getting the latest version for Desktop or CLI. Check out the full release notes for the complete list of changes, and join the conversation in GitHub Discussions. goose is open source. Star us on GitHub, and if you build something cool with goose, we'd love to hear about it!

匹配字段正文

e to make its artifact (memory) system more robust, make communications inside Goosetown flow more smoothly, and keep it just a little silly. — Tyler Ready to try parallel agentic engineering for yourself? Goosetown is open source and available on GitHub. Clone the repo, follow the setup instructions in the README, and you'll be orchestrating multiple agents in no time. If you're new to this workflow, watching the video below is a great way to see what a real session looks like before diving in.

匹配字段正文

nd changes. The agent can take before-and-after screenshots, navigate the app in a real browser, and confirm its work visually—just as a human would. The whole setup is wired into GitHub, Slack, Buildkite, and Ramp's observability stack including Sentry and Datadog. Running everything inside a single sandbox means the agent has the same low-latency access to services, files, and tools that an engineer would have locally. There's no network hop between the agent and the test suite, no remote file

匹配字段正文

ssive licensing (Apache 2.0) and practical tooling so it can be easily integrated into real-world workflows. Model weights: ZUNA Hugging Face; Inference & preprocessing code: ZUNA GitHub; Pip install Python package: pip install zuna; Technical paper At 380 million parameters, ZUNA is lightweight enough to run quickly on a consumer GPU and can be used on CPU for many workloads. We hope researchers, clinicians, and builders put ZUNA to work, provide feedback, and help shape the next generation of

匹配字段正文

t add an additional check, the LLM can call any function from that namespace. To make the issue more concrete, I’ve made an end-to-end example, where sonnet gets limited access to github MCP client, only list issues, but yet it successfully calls get me to extract my github email. Have a look at Appendix: MCP Example Our libraries have this fixed, but it is not so hard to imagine it will keep appearing as developers adopt client-defined tools: MCP servers, IPython kernels, or get creative with ‘

匹配字段正文

large codebases is essential. For teams running agentic coding at scale, we’re seeing strong resolution rates and the kind of consistency developers need.Joe Binder VP of Product, GitHub Claude Sonnet 4.6 has meaningfully closed the gap with Opus on bug detection, letting us run more reviewers in parallel, catch a wider variety of bugs, and do it all without increasing cost.Scott Wu CEO, Cognition For the first time, Sonnet brings frontier-level reasoning in a smaller and more cost-effective for

匹配字段正文

l Agents | Qwen Blog Publication About Try Qwen Chat Qwen3.5: Towards Native Multimodal Agents February 14, 2026 · 196 min · 41706 words · Qwen Team | Translations: 简体中文 QWEN CHAT GitHub Hugging Face ModelScope DISCORD We are delighted to announce the official release of Qwen3.5 , introducing the open-weight of the first model in the Qwen3.5 series, namely Qwen3.5-397B-A17B . As a native vision-language model, Qwen3.5-397B-A17B demonstrates outstanding results across a full range of benchmark ev

匹配字段正文

105 分，显著高于金牌线（78 分）及国家集训队入选线（87 分）。对比 Ring-2.5-1T 与 Ring-1T 的答题结果可以发现，前者在推理逻辑严谨性、高阶数学证明技巧使用以及答案表述完整性方面均有明显提升。我们现已公开 Ring-2.5-1T 在 IMO 2025 与 CMO 2025 中的详细解答，完整内容可通过以下链接查看：https://github.com/inclusionAI/Ring-V2.5/tree/main/examples 此外，在挑战性的智能体搜索 GAIA2-search 任务中，Ring-2.5-1T 达到开源 SOTA 水平。GAIA2 环境强调跨应用工具协作与复杂任务执行能力，Ring-2.5-1T 在规划生成与多步工具调用上的效率与准确性均表现突出。 2. 万亿规模的混合线性注意力架构 在通用智能体时代，深度思考（deep thinking）与长程执行（long-horizon agent）正成为语言基座的基本工作范式。这一转变对基座模型在长程推理解码效率上的架构能力提出了极高要求。作为迈向智能体模型（agentic model）架构的关

匹配字段正文

ons was reported multiple times over the last two years to all major model vendors; Exploits depend a lot on the model that is being used. For instance, I also got it working with GitHub Copilot when using a Claude 4.5 model. Adding the instructions various places including prompt injection tricks inside a skill, reliability can be improved; For the Claude Code demo video auto-approval for the Bash tool was on; When retrying the demo on February 10, 2026, I consistently got invisible unicode det

匹配字段正文

Devin also continues to autofix lint and CI/CD issues. These move us a big step forward in closing the agent loop: writing and fixing its own code until its fully correct. When a GitHub bot comments on a PR - a linter flags an issue, CI catches a test failure, a security scanner surfaces a vulnerability - Devin can automatically pick it up and fix it. It works with any bot that comments on PRs. Linters, CI pipelines, security scanners, dependency managers - if it leaves a comment, Devin handles

匹配字段正文

face every day—especially agentic workflows that demand planning and tool calling. This starts unlocking long-horizon tasks at the frontier.Mario Rodriguez Chief Product Officer, GitHub Claude Opus 4.6 is a huge leap for agentic planning. It breaks complex tasks into independent subtasks, runs tools and subagents in parallel, and identifies blockers with real precision.Michele Catasta President, Replit Claude Opus 4.6 is the best model we've tested yet. Its reasoning and planning capabilities h

匹配字段正文

samples out of 1,403 total samples in order to ensure the benchmarking is performed only on English documents.olmOCR-Bench-English. The implementation details can be found in this github repository. olmOCR (Category-wise Performance Comparison) OmniDocBench V1.5 A comprehensive benchmark for evaluating document parsing, featuring various document and layout types (academic papers, financial reports, and handwritten notes). We report the performance on the official English-only split from the eva

匹配字段正文

1. 当 Ling-1T 接入 Moltbot 这两天，开源项目 Moltbot (原名 Clawdbot，下文统一使用 Moltbot 指代) 在 GitHub 与社交媒体全面刷屏，关于其「全自动买车」、「自主修复 Bug」的演示说法，让不少人都动了「买个 Mac Mini 部署」的念头，将其视为新一代全能 Agent。 蚂蚁大模型团队的技术老哥们当然不会缺席这次热门话题，我们在隔离的 VM 环境中部署，并将蚂蚁百灵的 Ling-1T 用于驱动 Moltbot，将它对接成了聊天软件机器人。我们赋予这个 Agent 操作系统权限，看看在 Ling-1T 驱动下，能否真正实现复杂的指令遵循与任务自动化。 在虚拟机环境运行的 Clawdbot TUI 我们将抛开社交媒体的滤镜，看看这个爆火项目究竟验证了什么？它的架构精髓在哪里？另一方面，如果你也想构建一个真正好用的通用 Agent，它的「万能公式」到底是什么？ 2. 它究竟能做什么？ 接入 Ling-1T 后，Moltbot 和其他「通用 Agent」展现出的体感差异，在于其「主动性」和「人味」。拥有大量系统工具权限、有工作区目录、对接聊

匹配字段正文

deas, notes, and papers that did not quite fit into the final chapter narrative but are still worth sharing. I also plan to add more code implementations to the bonus materials on GitHub over time. Table of Contents (Overview) Inference-Time Scaling Overview; Chain-of-Thought Prompting; Self-Consistency; Best-of-N Ranking; Rejection Sampling with a Verifier; Self-Refinement; Search Over Solution Paths; Conclusions, Categories, and Combinations; Bonus: What Do Proprietary LLMs Use? You can use th

匹配字段正文

vCPUs and 2 terabytes of RAM per service. Railway's fundraise reflects broader investor enthusiasm for companies positioned to benefit from the AI coding revolution. As tools like GitHub Copilot , Cursor , and Claude become standard fixtures in developer workflows, the volume of code being written — and the infrastructure needed to run it — is expanding dramatically. "The amount of software that's going to come online over the next five years is unfathomable compared to what existed before — we'

匹配字段正文

ed to track the leak. But before investing more time, we decided to be sure that this leak was reproducible by others. We reached out to the vLLM team by opening an issue on their GitHub repository , which helped confirm we weren't the only ones seeing this issue and a deeper investigation was warranted. In order to better track what was happening, we turned to Heaptrack : a memory profiler that overrides memory operations like malloc or free and records these events alongside stack traces. Mill

匹配字段正文

Most components are already merged upstream or undergoing integration; feel free to check them out on the SGLang repo. How to Reproduce Only the key performance-relevant parameters are shown here. Full launch scripts (baseline vs optimized), benchmark harness, and profiling traces are published in GitHub: novitalabs/sglang (glm suffix branch). Core Optimization Flags (SGLang Runtime) Speculative decoding configuration (agentic coding workload) Suffix Decoding configuration (optional) References

匹配字段正文

t-time compute 1487 cycles : Claude Opus 4.5 after 11.5 hours in the harness 1363 cycles : Claude Opus 4.5 in an improved test time compute harness after many hours Download it on GitHub . If you optimize below 1487 cycles, beating Claude's best performance at launch, email us at performance-recruiting@anthropic.com with your code and a resume. Or you can apply through our typical process , which uses our (now) Claude-resistant take-home. We're curious how long it lasts. Product updates, how-tos

匹配字段正文

dalone secret used to encrypt and authenticate next-auth session cookies. The NEXTAUTH SECRET is all you need The next-auth code that creates the authentication cookies is in this GitHub repo. The salt used for minting these cookies is the cookie name itself. So, it’s pretty easy for an adversary to derive it as well. When tackling this, the easiest approach is to call the functions from the next-auth library. Rather than researching this manually, I used AI to go over the code and build a cooki

匹配字段正文

capabilities more extensively in follow-on work . The framework may extend beyond imaging to other sensing domains. Any system that can be modeled as deterministic encoding with known noise characteristics could benefit from information-based evaluation and design, including electronic, biological, and chemical sensors. This post is based on our NeurIPS 2025 paper “Information-driven design of imaging systems” . Code is available on GitHub . A video summary is available on the project website .

匹配字段正文