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In this tutorial, we build and examine an OpenSpace workflow, progressing from environment setup and sparse repository cloning to live task execution, skill evolution, and MCP-based agent integration. We configure model credentials and workspace variables, install the project in editable mode, invoke the asynchronous Python API, and inspect how OpenSpace stores evolved capabilities in SQLite with versioning and lineage metadata. We also create a custom SKILL.md, connect host-agent skills, test warm-task reuse, launch the streamable HTTP MCP server, and analyze the showcase evolution database to understand how FIX, DERIVED, and CAPTURED skills support lower-cost, reusable agent behavior. Copy Code Copied Use a different Browser import os, sys, subprocess, sqlite3, json, textwrap, shutil, time, pathlib ANTHROPIC_API_KEY = "" OPENAI_API_KEY = "" OPENSPACE_MODEL = "anthropic/claude-sonnet-4-5" OPENSPACE_CLOUD_KEY = "" assert sys.version_...

Datalab has released Marker 2 , a full rewrite of its open source document conversion pipeline. Marker converts PDF, image, PPTX, DOCX, XLSX, HTML, and EPUB files into markdown, JSON, HTML, or chunks. The Datalab team rebuilt it around three components shipped over the preceding months: Surya OCR 2 , a 20M-param fast layout model , and a rebuilt pdftext that is 3× faster than the previous one. The main result comes from olmOCR-bench , a third-party benchmark from Allen AI. Marker 2’s balanced mode scores 76.0% overall and 83.5% on born-digital PDFs. It sustains 2.9 pages per second on a single B200 GPU. That is over 5× the throughput of MinerU’s pipeline backend, which scores 72.7% at 0.54 pages per second. Docling scores 50.3% at 2.1 pages per second on the same harness. Marker 2 is out now – up to 5x faster and more accurate than mineru, docling, and liteparse with similar configs. Converts pdfs, images, docx to markdown. CPU + GPU compatible, up to 27 pa...

Today, Anthropic released Claude Opus 5 . It replaces Claude Opus 4.8 as the Opus-tier flagship. Pricing is unchanged at $5 per million input tokens and $25 per million output tokens. The Anthropic team positions Opus 5 as approaching the intelligence of Claude Fable 5 at half the price. It is now the default model on Claude Max and the strongest model on Claude Pro. What actually changed at the API level Three changes are quite important before any benchmark does: Thinking is on by default . On Opus 4.8, requests ran without thinking unless you set thinking: {"type": "adaptive"} . On Opus 5 the same request thinks, and the effort parameter controls depth. Because max_tokens caps thinking plus response text, existing values need review. There is a breaking change . Setting thinking: {"type": "disabled"} with effort xhigh or max now returns a 400 error. The restriction is enforced per request. You either cap effort at hi...