#123123rd of 389 in Skills, plugins and prompts

tokeneconomizer

Plugin that cuts coding-agent token cost using per-repository learned experience

Stars
5.7k
License
Apache-2.0
Last commit
Nov 2026
Last release
Oct 2026
Language
Python
Stars, last 4 weeks+5,658
13 Oct 2026: 50 stars20 Oct 2026: 53 stars27 Oct 2026: 283 stars3 Nov 2026: 4,751 stars10 Nov 2026: 5,708 stars

50 on 13 Oct 20265,708 on 10 Nov 2026

From GitHub's daily star counts.

Checked on GitHub.

Overview

TokenEconomizer is a plugin for Claude Code, Codex, GitHub Copilot CLI and Pi, with experimental support for several other agents. It learns from past sessions in a repository and applies three mechanisms: micro-skills (repeated facts injected at session start), tool pruning (unused tools left out via agent settings) and a loop guard that redirects stuck turns. The authors report 18.4–30.9% lower mean cost on SWE-Bench tasks across five agent–model combinations.

Who it is for: Developers paying for Claude Code, Codex or Copilot CLI in repeated repo work

Strengths

  • Works through agent settings and context, so the agent itself is unchanged
  • Reported 18.4–30.9% lower mean cost on SWE-Bench; its own model calls are counted
  • Needs no API key of its own; uses your agent's existing login
  • Actions are reversible; learned data stays local in ~/.tokeneconomizer

Weaknesses

  • Micro-skills is off by default; savings depend on the repository and work
  • Pinned to narrow tested version ranges; newer agent versions are untested
  • Experimental agents lack features; Grok, Hermes and Antigravity have no tool pruning
  • Cursor and Antigravity support is macOS and Linux only; Cursor reports no session cost

What it needs

  • no GPU
  • Needs Python 3.10+, A supported coding agent (Claude Code, Codex, Copilot CLI or Pi)
  • Models: Claude Code, Codex, GitHub Copilot CLI, Pi, opencode (experimental)

Quick answers

Is tokeneconomizer open source?

Yes. Its code is on GitHub under the Apache-2.0 license.

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