whereismyai
TokenEconomizer
TokenEconomizer is a plugin that reduces coding agent costs by learning from past repository sessions.
TokenEconomizer makes coding agents cheaper to run in repositories you work in often without changing the agent itself. It learns from sessions an agent has already run in a repository and uses that experience to cut waste in the sessions that follow. The plugin features three mechanisms: micro-skills to remember repository facts, tool pruning to stop loading unused tools, and failure-loop intervention to step in when a turn is stuck. It works with Claude Code, Codex, the GitHub Copilot CLI, Pi, and experimental opencode. What it learns stays on your machine, and its model calls run through your own agent on the same plan or login.
TokenEconomizer at a glance
Key features
- Remember repository facts through micro-skills
- Stop loading unused tools through tool pruning
- Step in when a turn is stuck with the loop guard
- Store learned data locally on your machine
- Announce each action in one line
- Run model calls through your own agent login
Use it for
- Cut coding agent run costs
- Remember repository build steps and commands
- Remove unused tool definitions from requests
- Handle failing agent turns with redirects
Alternatives to TokenEconomizer
- Token Beggar — It reduces cost and quota usage on large tasks while keeping quality similar.
- ccusage — Tracks token usage and costs locally across multiple coding agent CLIs.
- OpenTokenMini — Measures every agent call cost and links it to code commits.
- Opaline — Track team-wide token costs and coding session analytics.
- Rubi — It cuts AI token waste by keeping sessions short and mapping project knowledge.
- jevgrep — Reduces coding agent costs by providing targeted, relevant repository context.
- jCodeMunch MCP — Cuts AI code-reading token costs by over 95 percent via tree-sitter symbol indexing.
- Tura — Reduces token usage and LLM turns by over 80 percent while improving performance.
- Lcc — Cuts token counts significantly without losing exact session details.
- Bito — It cuts agent spend in half by grounding requests in code and routing to the best model.
- TokenTracker — Monitor AI spending across 43 coding tools in one local, private dashboard.
- CodeBurn — Tracks AI coding token usage and costs locally across 41 tools and agents.
All TokenEconomizer alternatives