Bulletin · UTC
Merged timeline: 43 items (blog publish time and listing createdAt in UTC). For registry-only weekly slices, use /new.
- ToolBGRemover
BGRemover is an AI-powered tool that allows you to remove video backgrounds effortlessly. With just one click, you can make any video background transparent, making it perfect for content creators and marketers.
- ToolPageIndex
PageIndex provides precise, verifiable answers and insights from complex documents. It features a chat interface that allows users to understand documents with explainable answers grounded in the source.
- Skillusing-agent-skills
Discovers and invokes agent skills for effective task management in engineering workflows.
Drives development with tests. Use when implementing any logic, fixing any bug, or changing any behavior.
Creates specs before coding to clarify requirements and ensure successful project execution.
Grounds every implementation decision in official documentation for authoritative, source-cited code.
- Skillshipping-and-launch
Prepares production launches with checklists for code quality, security, performance, and more to ensure safe deployments.
Hardens code against vulnerabilities. Use when handling user input, authentication, data storage, or external integrations.
Breaks work into ordered tasks for clear implementation and estimation.
Optimizes application performance by identifying and fixing bottlenecks based on profiling data.
Delivers changes incrementally to manage large features effectively.
- Skillidea-refine
Refines raw ideas into actionable concepts through structured divergent and convergent thinking.
Structures git workflow practices for making code changes, committing, branching, and resolving conflicts.
Build production-quality user interfaces that are accessible, performant, and visually polished.
Records decisions and documentation for architectural choices, public APIs, and feature shipping to aid future engineers and agents.
Manages deprecation and migration. Use when removing old systems, APIs, or features.
Guides systematic root-cause debugging for tests, builds, and unexpected errors.
- Skillcontext-engineering
Optimizes agent context setup for improved output quality during coding sessions.
- Skillcode-simplification
Simplifies code for clarity while preserving behavior, making it easier to read, maintain, and extend.
Conducts multi-axis code review to assess code quality across correctness, readability, architecture, security, and performance before merging changes.
- Skillci-cd-and-automation
Automates CI/CD pipeline setup and ensures quality gates are met before deployment.
Tests in real browsers using Chrome DevTools MCP for debugging and inspecting web applications.
Guides stable API and interface design for creating REST or GraphQL endpoints and defining type contracts between modules.
- Skillplugin-creator
Create and scaffold plugin directories for Codex with required and optional structures for easy plugin management.
- Skillscreenshot
Capture screenshots of the desktop or specific applications, with options for saving locations and modes.
- Skillmigrate-to-codex
Migrate supported instruction files, skills, agents, and MCP config into Codex project and global files.
- Skillcli-creator
Build a composable CLI for Codex from various sources like API docs, OpenAPI specs, and existing scripts.
- LLMKronos
Kronos is the first open-source foundation model for financial candlesticks (K-lines), trained on data from over 45 global exchanges. It is designed to handle the unique, high-noise characteristics of financial data.
Claude Managed Agents allows for multiagent orchestration and outcomes management, enabling agents to learn over time through curated memories. It is currently in public beta and offers features like webhooks for notifi…
- LLMElevenAgents
ElevenAgents is a multimodal AI agent that processes images, PDFs, audio messages, and more across various channels. It enables seamless interactions by maintaining full context during conversations.
- LLMHY-World 2.0
HY-World 2.0 is a multi-modal world model framework for generating and reconstructing 3D worlds from various input modalities. It produces editable 3D assets that can be imported into game engines, offering capabilities…
- LLMSeed3D 2.0
Seed3D 2.0 is a next-generation 3D generative model that delivers high-quality, production-grade 3D content with enhanced geometric precision and material realism. It introduces a two-stage generation strategy for impro…
- LLMGrok 4.3
Grok 4.3 is a powerful model designed for function calling, structured outputs, and reasoning capabilities. It can connect to external tools and systems, providing organized responses.
Reference agents, skills, and data connectors for FSI workflows—available as Claude Cowork plugins or via Claude Managed Agents API. Includes 10 named agents, vertical skill bundles, partner integrations with LSEG and S&P Global, and 11 MCP data connectors.
At a San Francisco developer event, Anthropic rolled out Dreaming (research preview) to let Claude Managed Agents learn from session transcripts, plus public betas for multiagent orchestration (up to 20 parallel agents), outcomes loops (rubric-based self-checks), and webhooks for external notifications.
On May 6, 2026, Anthropic and SpaceX announced a deal for exclusive use of the Colossus 1 supercomputer, providing 300+ megawatts and 220,000 NVIDIA GPUs. The partnership immediately doubles Claude Code rate limits on Pro, Max, Team, and Enterprise plans, eliminates peak-hour restrictions, and raises API limits.
ByteDance's DeerFlow evolved from a deep research framework to a full super agent harness. Version 2.0 ships with skills, sub-agents, sandboxed execution, persistent memory, Claude Code integration, and support for Telegram, Slack, Feishu, WeChat, WeCom, and DingTalk channels.
Both tools launched in early 2026 as powerful coding agents—Claude Code via terminal with deep reasoning and 1M context, Codex via desktop app for parallel agents and quick tasks. After Anthropic's rate limit boost, developers share strong preferences: Claude excels in code quality, Codex leads in speed.
Built by Yu Shi and team, Kronos treats financial candlesticks as a language—using a hierarchical tokenizer to quantize OHLCV data into discrete tokens, then training autoregressive Transformers for forecasting. Accepted at AAAI 2026 with live demo, finetuning pipeline, and batch prediction support.
llms.txt brings structured, curated markdown documentation to your website root so LLMs can quickly access the context they need. Here is why it matters for documentation sites, software projects, and any content you want AI to understand correctly.
Frontier LLM pretraining runs synchronously across tens or hundreds of thousands of GPUs; tail latency and link failures amplify into full-cluster stalls. OpenAI’s MRC reframes datacenter GPU fabrics—multi-plane topologies, packet spraying, trimming, and SRv6 source routing—with an OCP specification and research paper.
The RAG industry is being challenged by a simpler idea: let agents search with grep, glob, and LSP servers instead of pre-indexing everything into vector databases. Here is why agentic RAG is winning for code and structured data.
Instead of scaling reasoning only with bigger parameter counts, HRM and TRM show a second axis: recursive computation at inference time. This guide breaks down what these models do, why they worked on ARC-style tasks, and how to think about recursion versus chain-of-thought and tool use.