jobdec
Autonomous multi-agent internship application engine with local neural embeddings, Playwright Chromium, self-healing rules, and Cyberdeck TUI
What XERJ indexed
Snapshot
The whole repository at commit f823e7db89 (2026-10-25). master is 23 commits ahead.
Selected work
“integrate multi-dimensional Knowledge Graph and Graph-RA…”. 8 files, 964 lines in brain, dashboard, tests.
Licence
The repository
LICENSE file checked at the pinned commit; the author agreed to inclusion.
The XERJ corpus
The author agreed by email on 2026-10-26. 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
ai-agentsautomationcyberdecklocal-llmplaywrightpythontui
Example questions
- How does jobdec implement ai-agents?
- What does brain do in jobdec?
- Show the automation code in jobdec.
Inside the indexed corpus
- Languages by size: Python 81.5%, HTML 17.5%, JavaScript 0.8%, Batchfile 0.2%.
- On GitHub since 2026-10-14, last push 2026-10-28, 25 commits on master.
- The pin is 23 commits behind master; the corpus answers from the pinned code, not the newest.
Licence on GitHub and in the corpus
GitHub reported MIT for tokunboajayi/jobdec on 2026-10-29, and the LICENSE file at commit f823e7db89 was reviewed as MIT. They match, so answers from this corpus carry the same terms as the live repository.
Contributors
Olatokunbo Ajayi (@tokunboajayi) has 4 selected repositories on the hub.
Their other repository pages: tokunboajayi/glass-prompter, tokunboajayi/Ai-Trade-Arbitrage-, tokunboajayi/OS-GameBooster.
Using XERJ with jobdec
- RAG without a vector database: one hybrid index The hub files it under AI, prompts and agents.
- Index a reference library for a coding agent
- ripgrep vs a code index for coding agents: 30 tasks
- Best MCP servers for local code search in 2026, compared
The prompt
Paste it into your AI agent. It clones tokunboajayi/jobdec at the pinned commit and indexes it on your machine.
Search the GitHub repository tokunboajayi/jobdec with XERJ (https://hub.xerj.org/corpus/tokunboajayi--jobdec). 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/tokunboajayi/jobdec jobdec && git -C jobdec checkout f823e7db89f5cb14e8da9e2bae699f2a17e896e1 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./jobdec --url http://127.0.0.1:9200 --prefix jobdec --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
Olatokunbo AjayiAI, prompts and agents corporacalderagatlingmandoof1/agent-chatnoxgle/onebeatwad/LinkedIn-AI-Job-Applier-Ultimate
Stats: GitHub API, fetched 2026-10-29. Selected work and consent: the XERJ registry.