by QuesmaOrg · Agent Tool · ★ 193
Awesome AI Tokenomics Pricing, measurement, optimization, and governance of tokens used by AI models. Every entry is a link with a one-line summary: what it does, and the number behind it. On top of the list sit a few short pages written here: practices (what to do), concepts (how the economics work), claims (what we currently believe, with the evidence), and setups (configs you can paste straight into Claude Code or Codex). It's a reference to browse, grep, or hand to your agent - not a product.
| Stars | 193 |
| Forks | 37 |
| Language | Python |
| Category | Agent Tool |
| License | CC0-1.0 |
| Quality Score | 40.75/100 |
| Open Issues | 1 |
| Last Updated | 2026-10-04 |
| Created | 2026-07-17 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~59k |
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awesome-ai-tokenomics is A curated list on AI token economics: what tokens cost, where they get wasted, and how to cut the bill. Tools, benchmarks, papers, and copy-paste configs for the token economy of LLMs and coding agent. It is categorized as a Agent Tool with 193 GitHub stars.
awesome-ai-tokenomics is primarily written in Python. It covers topics such as agentic-coding, ai, ai-agents.
You can find installation instructions and usage details in the awesome-ai-tokenomics GitHub repository at github.com/QuesmaOrg/awesome-ai-tokenomics. The project has 193 stars and 37 forks, indicating an active community.
awesome-ai-tokenomics is released under the CC0-1.0 license, making it free to use and modify according to the license terms.