AgentIndex icon
AgentIndex
CALM logo
CALM
★ 17
vs
arbor logo
arbor
★ 161

CALM vs arbor

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.; arbor: Arbor provides graph-native intelligence for codebases by building a semantic dependency graph of functions, classes, and modules. It helps developers and AI agents understand code impact and navigate complex projects with deterministic precision.

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 →
arbor logo
arborCode Assistant · ★ 161

Refactoring impact analysis before making code changes.

Read arbor full review →
02

Side-by-Side Comparison

Field
CALM logoCALM
arbor logoarbor
Category
Code Assistant
Code Assistant
Stars
★ 17
★ 161
License
MIT
MIT
Install Command
curl -fsSL https://raw.githubusercontent.com/Eilodon/CALM/main/scripts/install.sh | sh && calm setup --project-root .
cargo install arbor-graph-cli
Updated
2d ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
Code Intelligence, AI Agent, Call Graph
Code Analysis, Dependency Graph, Static Analysis
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.
arbor logoarbor
01Semantic dependency graph building for codebases.
02Precise blast radius analysis to identify breaking changes.
03Caller/callee traversal and shortest path finding through code dependencies.
04Integration with AI agents via Model Context Protocol (MCP) for intelligent code assistance.
05CI gate functionality to prevent risky merges based on blast-radius thresholds.
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.
arbor logoarbor
↳Refactoring impact analysis before making code changes.
↳Code exploration and navigation for understanding project structure.
↳Automated pull request review and summary generation for code changes.
↳Integrating with AI coding assistants for enhanced code understanding and interaction.
↳Setting up CI/CD gates to check code change risk and maintain quality.
FAQ

FAQ

What is the difference between CALM and arbor?
Both CALM and arbor are in the Code Assistant category. CALM has 17 stars, while arbor has 161 stars.
Which is better, CALM or arbor?
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 arbor if Refactoring impact analysis before making code changes..
Is CALM free or open source?
Yes, CALM is open source on GitHub (MIT).
Is arbor free or open source?
Yes, arbor is open source on GitHub (MIT).
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