Armature captures and reconstructs full user sessions with AI agents running through Claude, ChatGPT, Claude Code, or MCP servers. It surfaces user intent, agent reasoning traces, tool calls, success rates, and groups interactions into ranked use cases while automatically identifying failures and root causes. Designed for teams building AI-powered products, it provides visibility into experiences that occur entirely inside the user's AI client instead of a traditional web UI.
Armature is a LLM eval & observability project. It focuses on understanding and debugging how users interact with AI agents in their native clients rather than your own UI. It is built as a B2B product for AI product developers. Armature follows a freemium model. It runs on the web.
Armature first shipped in 2025. Key capabilities include Session Replay, Use Case Discovery, and Issue Detection. It exposes integrations via an MCP server and a public API.
Summary written by a language model from the project’s public pages.
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