by Jakedismo · MCP Server · ★ 151
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
CodeGraph Your codebase, understood. CodeGraph transforms your entire codebase into a semantically searchable knowledge graph that AI agents can actually reason about—not just grep through. Ready to get started? Jump to the Installation Guide for step-by-step setup instructions. Already set up? See the Usage Guide for tips on getting the most out of CodeGraph with your AI assistant. The Problem AI coding assistants are powerful, but they're flying blind. They see files one at a time, grep for patterns, and burn tokens trying to understand your architecture. Every conversation starts from zero. What if your AI assistant already knew your codebase? What CodeGraph Does Differently Graph + Embeddings = True Understanding Most semantic search tools create embeddings and call it a day. CodeGraph builds a real knowledge graph: When you search, you don't just get "similar code"—you
| Stars | 151 |
| Forks | 23 |
| Language | Rust |
| Category | MCP Server |
| Quality Score | 35.75/100 |
| Open Issues | 22 |
| Last Updated | 2025-12-20 |
| Created | 2025-09-12 |
| Platforms | claude-code, cli, codex, gemini, mcp, rust |
| Est. Tokens | ~16944k |
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codegraph-rust is 100% Rust implementation of code graphRAG with blazing fast AST+FastML parsing, surrealDB backend and advanced agentic code analysis tools through MCP for efficient code agent context management. It is categorized as a MCP Server with 151 GitHub stars.
codegraph-rust is primarily written in Rust. It covers topics such as agents, ai-agents, ai-coding.
You can find installation instructions and usage details in the codegraph-rust GitHub repository at github.com/Jakedismo/codegraph-rust. The project has 151 stars and 23 forks, indicating an active community.
The top alternatives to codegraph-rust on Agent Skills Hub include Deepseekagents-DSA-Context-Engine, parallel-code, claude-codex-settings. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.