AgentIndex icon
AgentIndex
CALM logo
CALM
★ 17
vs
code-graph-mcp logo
code-graph-mcp
★ 85

CALM vs code-graph-mcp

CALM: CALM (Coding Agent Liveness Map) provides AI coding agents with a live, graph-verified map of the codebase, enabling them to understand dependencies and structural relationships before making changes. This ensures safer and more accurate code edits, preventing common pitfalls like breaking call sites or critical components due to lack of visibility.; code-graph-mcp: code-graph-mcp is a high-performance server that builds a structured knowledge graph of your codebase for AI coding assistants. It offers multi-language AST parsing, semantic search, call graph traversal, and HTTP route tracing to provide deep code understanding and optimize LLM context usage.

01

TL;DR

CALM logo
CALMCode Assistant · ★ 17

Empowering AI agents to safely refactor and edit code directly, by providing a deep understanding of code dependencies and impact.

Read CALM full review →
code-graph-mcp logo
code-graph-mcpCode Assistant · ★ 85

Perform impact analysis to understand the consequences and blast radius of proposed code changes.

Read code-graph-mcp full review →
02

Side-by-Side Comparison

Field
CALM logoCALM
code-graph-mcp logocode-graph-mcp
Category
Code Assistant
Code Assistant
Stars
★ 17
★ 85
License
MIT
MIT
Install Command
curl -fsSL https://raw.githubusercontent.com/Eilodon/CALM/main/scripts/install.sh | sh && calm setup --project-root .
/plugin marketplace add sdsrss/code-graph-mcp && /plugin install code-graph-mcp
Updated
2d ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
Code Intelligence, AI Agent, Call Graph
Code Knowledge Graph, AST Parsing, Semantic Search
03

Features

CALM logoCALM
01Real-time, Graph-Verified Codebase Map: Provides full call graphs for 13 languages out of the box (24 languages parsed in total), showing actual dependencies rather than similarity guesses.
02Hard Safety Gates on Write Path: Enforces hash-verified and syntax-checked edits, with hub/high-risk symbols requiring explicit confirmation and review of callers before changes are committed.
03Confidence-Graded Call Edges with Compiler Verification: Call edges are confidence-graded (textual → inferred → resolved → formal), with SCIP/LSP overlays upgrading best-guess edges to compiler-verified ground truth for 12 languages.
04Automated Codebase Health Reporting: Generates fitness reports based on metrics like hub concentration, dead code rate, complexity, and architectural boundary violations, queryable mid-session or enforceable in CI.
05Local-First and Privacy-Preserving Operation: Runs entirely on your machine with no code leaving for indexing or editing, using an MIT license and vendored embedding models for offline use.
code-graph-mcp logocode-graph-mcp
01Multi-language AST parsing across various depths (calls, imports, inheritance, HTTP routes) for languages like TypeScript, Python, Go, Rust, and Java.
02Hybrid semantic code search combining BM25 full-text and vector similarity search with Reciprocal Rank Fusion (RRF).
03Advanced code graph analysis including recursive call graph traversal, HTTP route tracing, dead code detection, and impact analysis.
04Incremental indexing with real-time updates via Merkle tree change detection and LLM context optimization through token-aware snippet extraction.
04

Use Cases

CALM logoCALM
↳Empowering AI agents to safely refactor and edit code directly, by providing a deep understanding of code dependencies and impact.
↳Ensuring code quality and architecture compliance in CI/CD pipelines, by automatically flagging dead code, high-complexity functions, and boundary violations.
↳Onboarding developers to new codebases or areas by offering an interactive, live map of the project's structure and hotspots.
↳Facilitating secure and validated code modifications within various IDEs and AI client environments, preventing unintended breakages.
code-graph-mcp logocode-graph-mcp
↳Perform impact analysis to understand the consequences and blast radius of proposed code changes.
↳Trace transitive call chains to understand complex function flows and dependencies across your codebase.
↳Conduct semantic searches to find relevant code based on conceptual descriptions, even if exact keywords are not present.
↳Gain a comprehensive overview of project architecture, modules, dependencies, and entry points.
FAQ

FAQ

What is the difference between CALM and code-graph-mcp?
Both CALM and code-graph-mcp are in the Code Assistant category. CALM has 17 stars, while code-graph-mcp has 85 stars.
Which is better, CALM or code-graph-mcp?
The best choice depends on your use case. Choose CALM if Empowering AI agents to safely refactor and edit code directly, by providing a deep understanding of code dependencies and impact., and code-graph-mcp if Perform impact analysis to understand the consequences and blast radius of proposed code changes..
Is CALM free or open source?
Yes, CALM is open source on GitHub (MIT).
Is code-graph-mcp free or open source?
Yes, code-graph-mcp is open source on GitHub (MIT).
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Related

Alternatives to CALM →Alternatives to code-graph-mcp →CALM details →code-graph-mcp details →