AmirCrew Labs builds autonomous agent infrastructure on the Claude API and the Model Context Protocol. Agents read on-chain data, work through thick documents, and act, without someone driving every step.
Three things run on the same runtime. Each one is a job you hand over, not a feature you configure.
Whitepapers, DAO proposals, transaction history. Long inputs stay coherent thanks to a large context window, and the output keeps its citations instead of losing them the moment the document gets long.
Runs on a schedule, or when you ask.
Connects agents to messaging platforms and the rest of your stack, so a chat thread becomes a working surface instead of a place to ask questions.
Telegram · webhooks · your own tools
Credentials are encrypted and only handed to a task that needs them, inside a sandbox that is torn down afterwards.
Encrypted at rest · scoped per task
Three kinds of teams use the same runtime for different jobs.
Treasuries, governance and counterparty exposure, watched continuously. People step in where the decision matters.
Register MCP servers, wire your own tools, and skip rebuilding the same plumbing for every agent.
Feed in a whole corpus and get structured, sourced answers back in seconds.
Point it at a chain and a pile of documents, watch what it does, then decide how far to let it run.