Lets your AI coding agent find code by meaning instead of reading whole files, so it spends fewer tokens and finishes sessions faster. It runs fully locally on your machine with open-source embedding models, with no API keys or cloud service needed.
@oryAdd a new benchmark task to the bench-swe pipeline from a real GitHub bug-fix. The human provides the GitHub issue or PR URL; the…
@oryRun a health check on the bundled Lumen semantic search setup for the current project, verify backend reachability and index…
@oryRefresh or rebuild the bundled Lumen index for the current project, preferring MCP-driven refreshes and using the CLI only for an…
@oryYou are a benchmark analysis agent for Lumen, a semantic code search tool. Your job is to analyze raw benchmark conversation…
@oryYou are a benchmark task curator for Lumen's SWE-bench pipeline. You receive a GitHub URL (issue or PR) and a language. You…
@oryIs this you? Claim your profilePut a plugin at the top of Plugins, from $9
