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miao

miao is an open-source AI coding agent for the terminal. It allows users to choose models, manage tasks, and delegate to subagents. The tool provides insights into token usage and costs, enhancing coding efficiency.

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miao is an open-source AI coding agent designed for terminal use, offering a flexible and efficient coding experience. It allows users to select models from various providers, enabling seamless model switching within a session. This flexibility ensures that users can prioritize reasoning quality, speed, or cost without restructuring their workflow around a single vendor.

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The tool supports collaboration by allowing users to delegate tasks to specialist subagents, which can be continued later. This feature is enhanced by the ability to list and message other sessions within the same project, subject to permissions. miao also provides detailed insights into token usage and costs, with per-turn usage metrics, estimated costs, and prompt-cache telemetry.

Durable sessions and an event-backed history ensure that users can list, reopen, fork, and export sessions. Large tool results are managed efficiently, with full outputs stored temporarily when available. miao's capabilities include autonomous continuation, cost budgets, and tuning options for pruning and compaction.

The tool is pre-1.0 and emphasizes its experimental nature, with features like Code Mode and a kernel sandbox available in specific runtimes. miao is ideal for developers looking to integrate AI into their coding workflow, offering a comprehensive suite of tools to enhance productivity and collaboration.

  • CategoryAI Agent Builders
  • Pricing ModelOpen Source
  • DeploymentSelf-hosted
  • PlatformsTerminal

  • Open-source AI coding agent

  • Model selection and switching

  • Task delegation to subagents

  • Token usage and cost insights

  • Durable sessions and history export

  • Autonomous continuation and cost budgets

  • Experimental Code Mode

  • Kernel sandbox compatibility

  1. Install: Set up miao on your terminal

  2. Configure: Choose models and set permissions

  3. Use: Delegate tasks and manage sessions

  4. Optimize: Monitor token usage and costs

  • Model Comparison
  • Task Delegation
  • Session Management
  • Token Monitoring
  • Collaborative Coding

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