whisperlane
Free, open source, local-first dictation for Windows. Hold a key, talk, and it is typed - into your editor, your terminal, or your agent
What XERJ indexed
Snapshot
The whole repository at commit 3cfd538986. It is the newest commit on master.
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
ai-agentsdictationlocal-firstopencodeprivacyrustspeech-to-texttauri
Example questions
- How does whisperlane implement ai-agents?
- Show the dictation code in whisperlane.
Inside the indexed corpus
- 243 files, 18.5 MB in total, about 77.8 KB per file.
- Languages by size: TypeScript 43.6%, Rust 42%, CSS 10.9%, PowerShell 3.3%, NSIS 0.2%.
- On GitHub since 2026-10-13, last push 2026-10-31, 132 commits on master.
Licence on GitHub and in the corpus
GitHub reported Apache-2.0 for fahrim/whisperlane on 2026-10-31, but the LICENSE file at commit 3cfd538986 was reviewed as NOASSERTION. The corpus is the pinned commit, so answers from it follow NOASSERTION.
Contributors
Fahri Meral (@fahrim) has 5 selected repositories on the hub.
Their other repository pages: storytold/vectorcraft, fahrim/whisper-vulkan-win, fahrim/opencode-listen-stt, fahrim/opencode-speak-tts.
Using XERJ with whisperlane
- RAG without a vector database: one hybrid index The hub files it under AI, prompts and agents.
- ripgrep vs a code index for coding agents: 30 tasks
- Best MCP servers for local code search in 2026, compared
- Best grep alternative for AI coding agents (2026)
The prompt
Paste it into your AI agent. It clones fahrim/whisperlane at the pinned commit and indexes it on your machine.
Search the GitHub repository fahrim/whisperlane with XERJ (https://hub.xerj.org/corpus/fahrim--whisperlane). 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/whisperlane whisperlane && git -C whisperlane checkout 3cfd53898641b06c4488a907e0ce453307ce3582 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./whisperlane --url http://127.0.0.1:9200 --prefix whisperlane --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: check the LICENSE file. Keep the copyright notice and credit the authors.
Related
Fahri MeralAI, prompts and agents corporadunorth595--ai-agent-chatretext-passivelibuvsewox/EchoMindnx01-600/claudeTalkTypeWhisper/typewhisper-mac
Stats: GitHub API, fetched 2026-10-31. Snapshot: the git tree at the pinned commit. Selected work and consent: the XERJ registry.