AgentIndex icon
AgentIndex
code-graph-context logo
code-graph-context
★ 17
vs
locus logo
locus
★ 15

code-graph-context vs locus

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.; locus: Locus provides persistent project-aware memory for AI coding tools, using three memory layers: structural, semantic, and episodic. It works with any MCP-compatible client and offers 14 tools and 3 resources for exploring, searching, and managing memory. Carbon Copy enables passive conversation capture for later recall.

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 →
locus logo
locusMemory & Context · ★ 15

Maintain project context across AI coding sessions to avoid losing architectural decisions and file structure awareness

Read locus full review →
02

Side-by-Side Comparison

Field
code-graph-context logocode-graph-context
locus logolocus
Category
RAG / Knowledge Base
Memory & Context
Stars
★ 17
★ 15
License
MIT
MIT
Install Command
npm install -g code-graph-context && code-graph-context init
npx -y locus-memory@latest install codex
Updated
1w ago
4mo ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
ai-code-analysis, claude-code, code-graph-rag
ai-memory, claude-code, codex-cli
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
locus logolocus
01Three memory layers: structural (auto-parsed), semantic (user-curated), episodic (auto-captured)
02Carbon Copy passive conversation capture via inbox-based event protocol
0314 MCP tools for exploring, recalling, searching, remembering, and managing memory
04FTS5 full-text search across all memory layers and conversation events
054-layer security: metadata-only, file denylist, content redaction, audit UX
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
locus logolocus
↳Maintain project context across AI coding sessions to avoid losing architectural decisions and file structure awareness
↳Store and retrieve important decisions and their rationale for consistent development practices
↳Passively capture conversation history from coding sessions for later search and recall
FAQ

FAQ

What is the difference between code-graph-context and locus?
Both code-graph-context and locus are in the RAG / Knowledge Base category. code-graph-context has 17 stars, while locus has 15 stars.
Which is better, code-graph-context or locus?
The best choice depends on your use case. Choose code-graph-context if Understand codebase dependencies and perform refactoring risk analysis, and locus if Maintain project context across AI coding sessions to avoid losing architectural decisions and file structure awareness.
Is code-graph-context free or open source?
Yes, code-graph-context is open source on GitHub (MIT).
Is locus free or open source?
Yes, locus is open source on GitHub (MIT).
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Related

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