AgentIndex icon
AgentIndex
code-graph-context logo
code-graph-context
★ 17
vs
samyama-graph logo
samyama-graph
★ 184

code-graph-context vs samyama-graph

code-graph-context: Code Graph Context is an MCP server that builds a semantic graph of TypeScript codebases, enabling AI assistants like Claude to understand dependencies, perform impact analysis, and coordinate multi-file changes. It supports local or OpenAI embeddings, incremental parsing, and swarm coordination for parallel refactoring.; samyama-graph: Samyama is a graph-vector database written in Rust. It supports OpenCypher queries, Redis protocol, vector search, and graph algorithms. It can handle billions of edges on a single machine.

01

TL;DR

code-graph-context logo
code-graph-contextRAG / Knowledge Base · ★ 17

Understand codebase dependencies and perform refactoring risk analysis

Read code-graph-context full review →
samyama-graph logo
samyama-graphRAG / Knowledge Base · ★ 184

Biomedical knowledge graphs (PubMed, ClinicalTrials.gov, etc.)

Read samyama-graph full review →
02

Side-by-Side Comparison

Field
code-graph-context logocode-graph-context
samyama-graph logosamyama-graph
Category
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 17
★ 184
License
MIT
Apache-2.0
Install Command
npm install -g code-graph-context && code-graph-context init
git clone https://github.com/samyama-ai/samyama-graph && cd samyama-graph && cargo build --release
Updated
1w ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
ai-code-analysis, claude-code, code-graph-rag
billion-edges, cypher, cypher-query-language
03

Features

code-graph-context logocode-graph-context
01Multi-project support with complete isolation
02Semantic code search via vector embeddings
03Framework-aware parsing with custom schema support
04Weighted graph traversal for impact analysis
05Swarm coordination for parallel multi-agent tasks
samyama-graph logosamyama-graph
01OpenCypher queries
02Redis protocol
03Vector search (HNSW)
04Graph algorithms (PageRank, BFS, etc.)
05Natural language queries (NLQ)
04

Use Cases

code-graph-context logocode-graph-context
↳Understand codebase dependencies and perform refactoring risk analysis
↳Find duplicate code, dead code, and semantic similarities
↳Coordinate multiple AI agents for parallel code changes
samyama-graph logosamyama-graph
↳Biomedical knowledge graphs (PubMed, ClinicalTrials.gov, etc.)
↳Multi-hop graph traversals
↳Cross-knowledge graph aggregation
FAQ

FAQ

What is the difference between code-graph-context and samyama-graph?
Both code-graph-context and samyama-graph are in the RAG / Knowledge Base category. code-graph-context has 17 stars, while samyama-graph has 184 stars.
Which is better, code-graph-context or samyama-graph?
The best choice depends on your use case. Choose code-graph-context if Understand codebase dependencies and perform refactoring risk analysis, and samyama-graph if Biomedical knowledge graphs (PubMed, ClinicalTrials.gov, etc.).
Is code-graph-context free or open source?
Yes, code-graph-context is open source on GitHub (MIT).
Is samyama-graph free or open source?
Yes, samyama-graph is open source on GitHub (Apache-2.0).
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Related

Alternatives to code-graph-context →Alternatives to samyama-graph →code-graph-context details →samyama-graph details →