Latest Articles

Mastra brings model routing, Agents, workflows, human in the loop, RAG, evals, and observability into one TypeScript framework. This article explains how its boundaries help teams move AI prototypes toward testable, observable, and maintainable products.

LangExtract does more than produce structured LLM output: it maps each extraction to a character span in the source text and provides JSONL plus interactive HTML for review. This article explains its data model, long-document pipeline, provider architecture, and a practical local start.

LobeHub is more than a chat interface. It brings Agent Builder, agent groups, schedules, projects, workspaces, and editable memory into one AI workspace. This article examines its product model, self hosting path, collaboration design, and governance limits.

As AI agents move from one-shot chat to file access, command execution, and multi-step work, the hard part is replacing models, tools, and approval policies without rewriting the core. DeepSeek Harness builds on an everything-is-a-plugin architecture and Cordis, with a Web UI, a headless runner, and composable profiles and bundles.

PaddleOCR does more than convert images to text. It turns PDFs and images with layouts, tables, formulas, and multilingual content into Markdown or JSON that RAG systems and agents can actually use. This article explains PP OCR, PP StructureV3, PaddleOCR VL, practical setup, and production limits.

When an AI coding agent relies on file-by-file search to understand a large repository, it can miss cross-file relationships and consume excessive context. codebase-memory-mcp combines tree-sitter, Hybrid LSP, and a local SQLite knowledge graph, then exposes architecture, call-path, and impact-analysis queries through MCP. This article explains its design, installation, benchmarks, security boundaries, and best-fit use cases.