FoT
Federation over Text (FoT) is a federated-learning-like paradigm for multi-agent reasoning
What XERJ indexed
Snapshot
The whole repository at commit 3b705114ba (2026-09-28). main is 4 commits ahead.
Licence
The repository
LICENSE file checked at the pinned commit; the author agreed to inclusion.
The XERJ corpus
The author agreed by email on 2026-10-27. Same terms as the repository. Answers name the repo, the commit and the file:line.
selected for the XERJ Corpus Hublicence clearedsuggested use: adapt with attribution
agentic-aifederated-learningmulti-agentmulti-agent-systemsopenclawskills
Example questions
- How does FoT implement agentic-ai?
- Where does FoT handle “Updated PinchBench Runtime”?
- What does experiment do in FoT?
Inside the indexed corpus
- 1,741 files, 404.6 MB in total, about 238.0 KB per file.
- The selected commit changed 3 of those files (0.2%).
- Languages by size: Python 97.5%, TypeScript 1%, HTML 0.7%, Shell 0.6%, JavaScript 0.2%.
- On GitHub since 2026-04-21, last push 2026-09-29, 20 commits on main.
- The pin is 4 commits behind main; the corpus answers from the pinned code, not the newest.
Licence on GitHub and in the corpus
GitHub reported MIT for dixiyao/FoT on 2026-10-31, and the LICENSE file at commit 3b705114ba was reviewed as MIT. They match, so answers from this corpus carry the same terms as the live repository.
Contributors
Dixi Yao (@dixiyao) has 1 selected repository on the hub.
Using XERJ with FoT
- RAG without a vector database: one hybrid index The hub files it under AI, prompts and agents.
- Best MCP servers for local code search in 2026, compared
- Best grep alternative for AI coding agents (2026)
- Ask questions about a GitHub repo without cloning it
The prompt
Paste it into your AI agent. It clones dixiyao/FoT at the pinned commit and indexes it on your machine.
Search the GitHub repository dixiyao/FoT with XERJ (https://hub.xerj.org/corpus/dixiyao--fot). Run these in a shell, in order, and check each result before the next: 1. xerj --help (success: it prints usage). If xerj is missing: curl -fsSL https://xerj.org/get | sh 2. git clone https://github.com/dixiyao/FoT FoT && git -C FoT checkout 3b705114babac0fef842ad21ed2f68474333294d 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./FoT --url http://127.0.0.1:9200 --prefix fot --progress plain 5. xerj autoindex map --url http://127.0.0.1:9200 Then answer my question from the indexed files and cite the ax_path of every hit. Query syntax: https://xerj.org/llms.txt Licence: MIT. Keep the copyright notice and credit the authors.
Related
Dixi YaoAI, prompts and agents corporacamelagentscopeautogenrezaho/MARSYSaws-samples/sample-governed-agentic-companionjzjzzzzzzz/agent-me
Stats: GitHub API, fetched 2026-10-31. Snapshot: the git tree at the pinned commit. Selected work and consent: the XERJ registry.