TokenEconomizer

What is TokenEconomizer?

TokenEconomizer is an open source plugin that lowers the cost of running AI coding agents in software repositories. It works by tracking how agents interact with a codebase over time and using that history to remove unnecessary expenses in future sessions. The tool does not modify the underlying agent or require changes to your existing workflow.

The system uses three main mechanisms to save tokens. Micro skills stores repeated repository facts like required build steps or exact command syntax so they do not need to be rediscovered. Tool pruning removes definitions for commands that go unused across multiple prompts or sessions. A failure loop guard detects when an agent gets stuck on the same errors and suggests a different approach before continuing.

TokenEconomizer runs as a plugin for Claude Code, Codex, the GitHub Copilot CLI, and Pi, with experimental support for opencode. All internal model calls pass through the user's own account and login, keeping costs transparent. The plugin logs each action in a single line and continues the session normally if any component fails. It is licensed under Apache 2.0.

TokenEconomizer features

• Stores repeated repository facts to avoid rediscovery
• Removes unused tool definitions from agent prompts
• Detects and redirects stuck agent turns automatically
• Runs as a plugin for major AI coding assistants
• Uses user credentials for all internal model calls
• Logs actions in single lines and handles failures gracefully

Who uses TokenEconomizer and for what

• Reduce token spending for teams running frequent AI coding tasks
• Speed up agent setup by remembering project build commands
• Prevent wasted API calls on unused tools in large codebases
• Catch and redirect repetitive coding errors during automated fixes

TokenEconomizer FAQ

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