Natural-language code search library that returns only relevant snippets to agents via MCP or bash, replacing grep+read workflows with ~250ms indexing and ~1.5ms queries on CPU.
May 19, 2026
Summary
Agents waste tokens reading full files to find code; Semble returns only matched chunks, reducing context window pressure and latency on every retrieval step. Replaces manual grep exploration with semantic search agents can call directly.
Why it matters
Agents waste tokens reading full files to find code; Semble returns only matched chunks, reducing context window pressure and latency on every retrieval step. Replaces manual grep exploration with semantic search agents can call directly.
Implementation verdict
Ready now. Drop-in MCP server (Claude Code, Cursor, Codex, OpenCode) or bash tool; no setup beyond `pip install semble`. Replaces grep+find workflows entirely. Requires uv for MCP or pip for CLI. Worth testing immediately if you run agents against large codebases.
Sources
Dev Signal
Get briefs like this in your inbox — free, every weekday.
100+ sources compressed into one 4-minute read. Ranked, cited, implementation-ready.