AgentIndex icon
AgentIndex
CALM logo
CALM
★ 17
vs
ScalaSemantic logo
ScalaSemantic
★ 21

CALM vs ScalaSemantic

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.; ScalaSemantic: ScalaSemantic is an MCP server that provides AI coding agents with compiler-resolved Scala facts like symbols, types, and usages via SemanticDB. It allows agents to query precise compiler knowledge rather than relying on less accurate source text grepping, significantly reducing token 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 →
ScalaSemantic logo
ScalaSemanticCode Assistant · ★ 21

Enhancing AI agents with compiler-level insights for accurate answers to code questions.

Read ScalaSemantic full review →
02

Side-by-Side Comparison

Field
CALM logoCALM
ScalaSemantic logoScalaSemantic
Category
Code Assistant
Code Assistant
Stars
★ 17
★ 21
License
MIT
MIT
Install Command
curl -fsSL https://raw.githubusercontent.com/Eilodon/CALM/main/scripts/install.sh | sh && calm setup --project-root .
sbt mcpClientConfig && sbt compile
Updated
2d ago
4d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
Code Intelligence, AI Agent, Call Graph
Scala, SemanticDB, AI Code Assistant
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.
ScalaSemantic logoScalaSemantic
01Resolve names to SemanticDB symbols
02Find exact references and usages of a symbol
03Analyze class hierarchy (parents and known subtypes)
04Get full method signatures with type/implicit parameters
05Resolve implicit definitions for a given type
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.
ScalaSemantic logoScalaSemantic
↳Enhancing AI agents with compiler-level insights for accurate answers to code questions.
↳AI code generation and completion requiring deep Scala code understanding.
↳Automated code refactoring based on precise symbol and type information.
↳Debugging and tracing implicit dependencies in Scala projects.
↳Identifying exact callers of methods or all subtypes of a trait for automated analysis.
FAQ

FAQ

What is the difference between CALM and ScalaSemantic?
Both CALM and ScalaSemantic are in the Code Assistant category. CALM has 17 stars, while ScalaSemantic has 21 stars.
Which is better, CALM or ScalaSemantic?
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 ScalaSemantic if Enhancing AI agents with compiler-level insights for accurate answers to code questions..
Is CALM free or open source?
Yes, CALM is open source on GitHub (MIT).
Is ScalaSemantic free or open source?
Yes, ScalaSemantic is open source on GitHub (MIT).
Cloud Infrastructure
Ad

Deploy on DigitalOcean

Host your MCP servers, Docker containers, and AI agents with $200 free credit over 60 days.

Claim $200 Free Credit
→

Related

Alternatives to CALM →Alternatives to ScalaSemantic →CALM details →ScalaSemantic details →