opencode-speak-tts
Speak OpenCode answers aloud on Windows. Free Edge neural voices (en-US, tr-TR), no API key, with summarisation through OpenCode's own model
What XERJ indexed
Snapshot
The whole repository at commit 4a7c0cf587. It is the newest commit on main.
Selected work
Licence
The repository
LICENSE file checked at the pinned commit; the author agreed to inclusion.
The XERJ corpus
The owner added it on hub.xerj.org after signing in with GitHub, on 2026-10-29. 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
The prompt
Paste it into your AI agent. It clones fahrim/opencode-speak-tts at the pinned commit and indexes it on your machine.
Search the GitHub repository fahrim/opencode-speak-tts with XERJ (https://hub.xerj.org/corpus/fahrim--opencode-speak-tts). 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/fahrim/opencode-speak-tts opencode-speak-tts && git -C opencode-speak-tts checkout 4a7c0cf587b609173ab71fefac360aec75b89e11 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./opencode-speak-tts --url http://127.0.0.1:9200 --prefix opencode-speak-tts --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
Fahri MeralAPI design and specification corpora
Stats: GitHub API, fetched 2026-10-31. Snapshot: the git tree at the pinned commit. Selected work and consent: the XERJ registry.