FoT

About FoT

Federation over Text (FoT) is a federated-learning-like paradigm for multi-agent reasoning.

agentic-ai federated-learning multi-agent multi-agent-systems openclaw skills

Quick Facts

Stars	112
Forks	2
Language	Python
Category	Codex Skill
License	MIT
Quality Score	40.25/100
Last Updated	2026-09-29
Created	2026-04-21
Platforms	python
Est. Tokens	~20386k

Compatible Skills

These tools work well together with FoT for enhanced workflows:

OpenRath — semantic(0.40)+complementary+same_lang+similar_pop+shared_platform (59%)
agent-builder — semantic(0.22)+complementary+same_lang+similar_pop+shared_platform (58%)
ClawSwarm — semantic(0.37)+complementary+same_lang+similar_pop+shared_platform (58%)
synapse-ai — semantic(0.33)+complementary+same_lang+similar_pop+shared_platform (57%)

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Frequently Asked Questions

What is FoT?

FoT is Federation over Text (FoT) is a federated-learning-like paradigm for multi-agent reasoning.. It is categorized as a Codex Skill with 112 GitHub stars.

What programming language is FoT written in?

FoT is primarily written in Python. It covers topics such as agentic-ai, federated-learning, multi-agent.

How do I install or use FoT?

You can find installation instructions and usage details in the FoT GitHub repository at github.com/dixiyao/FoT. The project has 112 stars and 2 forks, indicating an active community.

What license does FoT use?

FoT 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