Articles, releases and code from Hacker News, Reddit, GitHub and the people building RPA, workflow automation and AI agents — plus what the community pushed to the top today.
AITencent Cloud open-sourced octop-browser, a lightweight automation tool that connects directly to the Chrome DevTools Protocol without Playwright for faster, more reliable AI web agents.
AILiquid AI released quantized GGUF weights for LFM3-1.7B, allowing developers to run lightweight local language models on standard consumer hardware for automation workflows and agents.
AILiquid AI released LFM3-VL-2B, a compact vision-language model enabling edge devices to run step-by-step reasoning on images, documents, and video inputs for automation workflows.
AILangGraph 1.2.19 fixes streaming bugs across nested subgraphs and paused tools, and exposes ToolNode tool names directly in graph node metadata.
AIWindmill 1.855.1 fixes an issue by ensuring the sidebar lists only the reader's own AI chat sessions.
AIPrefect 3.9.1 introduces custom state discovery and filters, fixes daylight saving time cron scheduling issues, and resolves critical bugs in task result caching and flow retries.
AIThe open-source muse-cli tool provides command-line and JSON access to muse.ai agents, allowing developers to script interactions and integrate them into automated workflows.
AIWindmill 1.854.2 fixes a bug by reading a new app's links before its session draft is discarded.
AITrigger.dev 4.8.3 adds machine-bound CLI and MCP logins, secure webhook secret management to keep secrets out of AI contexts, and AWS OIDC task authentication.
AICrewAI 1.15.33 adds CLI skill searching, passes CLI inputs directly to Python flows, enables zipped deployments, and fixes token usage reporting for LiteLLM tool calls.
AIPika released the open-weight Pika-H3-Flex model, letting developers integrate fast six-step video and synchronized audio generation with multi-reference control directly into automated media workflows.
AIDiffuspace released Clover-35B-A3B-Preview, an open-source diffusion language model that combines block-level parallel decoding with a 128K context window for fast, long-context text generation in automation pipelines.