mksglu

4 ms·

1. 31.▲
   by mksglu 8mo ago

   That means a lot, thank you! Would love to hear your feedback once you try it — and an upvote would be much appreciated if you find it useful
2. 32.▲
   by mksglu 8mo ago

   Sure, thank you for your comment!
3. 33.▲
   by mksglu 8mo ago

   Great questions. -- On lossy compression and the "unsurfaced signal" problem: Nothing is thrown away. The full output is indexed into a persistent SQLite FTS5 store — the 310 KB stays in the knowledge base, only the search results
4. 34.▲
   by mksglu 8mo ago

   Thanks! Context Mode is a standard MCP server, so it works with any client that supports MCP — including Codex and opencode. Codex CLI: codex mcp add context-mode -- npx -y context-mode Or in ~/.codex/config.toml: [mcp_
5. 35.▲
   by mksglu 8mo ago

   For your second question: No LLM calls. Context Mode uses algorithmic processing — FTS5 indexing with BM25 ranking and Porter stemming. Raw output gets chunked and indexed in a SQLite database inside the sandbox, and only the relevant snipp
6. 36.▲
   by mksglu 8mo ago

   Hey! Thank you for your comment! You can actually use an MCP on this basis, but I haven't tested it yet. I'll look into it as soon as possible. Your feedback is valuable.
7. 37.▲
   by mksglu 8mo ago

   Hey! Thank you for your comment! There are test examples in the README. Could you please try them? Your feedback is valuable.
8. 38.▲
   Show HN: Context Mode – 315 KB of MCP output becomes 5.4 KB in Claude Code(github.com)

   84 points by mksglu 8mo ago|23 comments