Notte is a full-stack web AI agent framework and browser automation SDK. The implementation is a multi-package Python monorepo: notte-core provides shared domain models, actions, error hierarchies, telemetry, and configuration; notte-browser implements Playwright/Patchright browser control, DOM snapshotting, scraping pipelines, and form-filling heuristics; notte-agent contains the LLM-driven agent loop, deterministic fallback, and workflow execution; notte-llm wraps LiteLLM with structured completions, retries, and a file-based prompt library; notte-sdk is the client for the hosted Notte cloud API with remote sessions, agents, vaults, personas, and serverless functions; notte-integrations adds notifiers and third-party CDP session providers. Primary entry points are `NotteClient` for cloud usage, `NotteSession` for local browser automation, and `Agent`/`AgentFallback` for autonomous and hybrid scripted-agent workflows.
LangExtract is a Python library for extracting structured information (entities, relationships) from unstructured text using large language models (LLMs). It provides a production-grade pipeline: chunking long documents, building prompts with few-shot examples, invoking LLMs (Gemini, OpenAI, Ollama, or custom providers), parsing and fuzzy-aligning the output to source text, and generating interactive HTML visualizations. The architecture is modular with a plugin system for providers, a schema system for output constraints, and a resolver for alignment. It includes comprehensive tests, benchmarks, and CI/CD. The library is actively maintained with a clear deprecation path for v2.0.0. Notable strengths are the provider plugin system, fuzzy alignment algorithms, and format handling. Weaknesses include some deprecation debt and complex alignment code.