by dixiyao · Codex Skill · ★ 111
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Federation over Text (FoT) is a federated-learning-like paradigm for multi-agent reasoning.
| Stars | 111 |
| Forks | 2 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 57.6021176497055/100 |
| Last Updated | 2026-08-01 |
| Created | 2026-04-21 |
| Platforms | python |
| Est. Tokens | ~13k |
These tools work well together with FoT for enhanced workflows:
Looking for a FoT alternative? If you're comparing FoT with other codex skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
🚀 JoySafeter: An enterprise AI Agent Platform—Not just chatting. building、running、testing, and tracing autono
An introduction to the world of AI Agents
Open-source Agentic AI framework in Go for building, orchestrating, and deploying intelligent agents. LLM-agno
Advanced Agentic Development Environment for DevPods, GitHub Codespaces, Rackspace Spot & more. Ruflo orchestr
Curated awesome list for OpenClaw (formerly Moltbot/Clawdbot): skills, plugins, memory systems, MCP tools, dep
An AI-native OS. Models run on your own hardware, nodes federate peer-to-peer with no broker, and the API is O
Explore other popular codex skill tools:
FoT is Federation over Text (FoT) is a federated-learning-like paradigm for multi-agent reasoning.. It is categorized as a Codex Skill with 111 GitHub stars.
FoT is primarily written in Python. It covers topics such as agentic-ai, federated-learning, multi-agent.
You can find installation instructions and usage details in the FoT GitHub repository at github.com/dixiyao/FoT. The project has 111 stars and 2 forks, indicating an active community.
FoT is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to FoT on Agent Skills Hub include JoySafeter, oreilly-ai-agents, AgenticGoKit. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.