tokenjam

by Metabuilder-Labs · Codex Skill · ★ 89

About tokenjam

Token Efficiency For AI Agents

ai-agents autonomous-agents cli duckdb llm observability openclaw opentelemetry python

Quick Facts

Stars	89
Forks	15
Language	Python
Category	Codex Skill
License	MIT
Quality Score	49.9761720052511/100
Open Issues	37
Last Updated	2026-07-08
Created	2026-03-28
Platforms	cli, python
Est. Tokens	~13k

Compatible Skills

These tools work well together with tokenjam for enhanced workflows:

mcp-server-motherduck — semantic(0.27)+complementary+rare_topics+same_lang+similar_pop+shared_platform (64%)
simon-factory-lights-out — semantic(0.29)+complementary+same_lang+similar_pop+shared_platform (60%)
agent-trace — semantic(0.27)+complementary+same_lang+similar_pop+shared_platform (60%)

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Frequently Asked Questions

What is tokenjam?

tokenjam is Token Efficiency For AI Agents. It is categorized as a Codex Skill with 89 GitHub stars.

What programming language is tokenjam written in?

tokenjam is primarily written in Python. It covers topics such as ai-agents, autonomous-agents, cli.

How do I install or use tokenjam?

You can find installation instructions and usage details in the tokenjam GitHub repository at github.com/Metabuilder-Labs/tokenjam. The project has 89 stars and 15 forks, indicating an active community.

What license does tokenjam use?

tokenjam is released under the MIT license, making it free to use and modify according to the license terms.

View on GitHub → Browse Codex Skill tools