| Best for | Research reports and multi-source competitive intelligence | Customer support agents that remember every past interaction | Internal Q&A agents grounded in Notion, Drive, and Confluence | Rapid prototyping of LLM and agent ideas with non-engineering stakeholders |
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| Key features | Autonomous agent with virtual computer, browser, and Python execution • Deliverable-oriented: produces reports, sites, decks, spreadsheets, code artefacts • Session replay and forking so any run can be inspected or reused | Persistent agents instead of stateless chat sessions • Memory palace for viewing an agent’s memory • Background memory agents / dream agents that refine prompts, context, and skills over time | Shared Assistants, Data Sources, and Workflows primitives • Two-way MCP (client + server) built into the platform • Multi-model support with per-assistant model choice | Low-code visual builder for agentic and RAG applications • Build and deploy AI agents and MCP servers • Supports major LLMs, vector databases, and AI tools |
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