muvon/octocode

v0.19.0 Feature

This release adds 2 notable features for engineering teams evaluating rollout.

Published 17h MCP Developer Tools

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✓ No known CVEs patched

Read the diff → Tool health → What is this tool? →

✓ No known CVEs patched in this version

Topics

ai ai-tools cli cli-app code-search developer-tool

+14 more

developer-tools doc-search embeddings graphrag knowledge-graph lancedb mcp mcp-server mcp-servers llm rust semantic-search semantic-search-ai tree-sitter

Summary

AI summary

Advanced AI-driven search with LLM-powered reasoning improves code retrieval accuracy.

Full changelog

📋 Release Summary

This release introduces advanced AI-driven search capabilities, featuring LLM-powered reasoning and improved result ranking for more accurate code retrieval (e3d03632, e467123f, 5362fb44, f5e171a9). System performance has been enhanced through optimized memory allocation and a modernized configuration system (f788fa2a, 2139c9b9, 1c3a5f75). Additionally, several fixes improve LSP process stability and expand MCP server compatibility (6fc68e5b, 7134786d).

✨ New Features & Enhancements

config: implement atomic updates and v2 migration 2139c9b9
search: implement reasoning retrieval and refine config e3d03632
reasoning: implement weighted RRF for result fusion e467123f
search: implement LLM reasoning for code ranking 5362fb44
search: implement RRF and refine GraphRAG expansion f5e171a9

🔧 Improvements & Optimizations

config: optimize loading and harden file writes 1c3a5f75
indexer: optimize memory and allocation efficiency f788fa2a

🐛 Bug Fixes & Stability

lsp: ensure deterministic process lifecycle and reaping 6fc68e5b
mcp: relax git requirement for read-only index 7134786d

📚 Documentation & Examples

root: rename instructions to agents d9f2f9d1

🔄 Other Changes

3 maintenance, dependency, and tooling updates not listed individually.

View diff on GitHub

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About muvon/octocode

Semantic code indexer with GraphRAG knowledge graph. Index your codebase, search in natural language, and expose everything via MCP so AI agents understand architecture — not just files.

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