Long-term memory for agents: tools that extract what matters from conversations, refine prompts from feedback and keep memory across sessions, with LangGraph's store built in.
E2B Desktop Sandbox: a cloud virtual desktop (Ubuntu + VNC) with Python SDK for screenshot, mouse, keyboard, and process control; designed for AI agents that need a full GUI environment in an isolated VM.
Emergence AI agent-E browser agent: hierarchical LLM-based web automation that uses DOM distillation and action abstraction layers to achieve significantly higher benchmark accuracy than prior browser agents.
Research browser agent from Zhejiang University and HKU. It uses GPT-4V interleaved screenshot + HTML observations to complete open-ended web tasks; established an early web-agent benchmark (WebVoyager).
E2B Surf: a Stagehand-powered computer-use interface layer for E2B Firecracker sandboxes; connects the act/extract/observe primitives directly to microVM display output for lightweight headless computer use.
Use to give an agent a queryable wiki knowledge base when memory should be a navigable knowledge graph, not just a flat log: ingest files, folders, and URLs into a linked vault, then search or ask it in natural language.
Grant access to additional directories outside the current project. Useful for monorepo setups, shared libraries, or when working with documentation stored in separate repositories.