AgentIndex icon
AgentIndex
CALM logo
CALM
★ 17
vs
kin logo
kin
★ 68

CALM vs kin

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.; kin: Kin is a semantic system of record for AI-written software, providing a graph-based authority to understand code entities, relations, and changes. It enables humans and AI agents to query, review, and analyze the impact of code modifications before they merge.

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 →
kin logo
kinCode Assistant · ★ 68

Reviewing AI-written code changes with semantic impact analysis.

Read kin full review →
02

Side-by-Side Comparison

Field
CALM logoCALM
kin logokin
Category
Code Assistant
Code Assistant
Stars
★ 17
★ 68
License
MIT
Apache-2.0
Install Command
curl -fsSL https://raw.githubusercontent.com/Eilodon/CALM/main/scripts/install.sh | sh && calm setup --project-root .
curl -fsSL https://get.kinlab.dev/install | sh && exec "$SHELL" -l && kin setup --intent agent
Updated
2d ago
3d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
Code Intelligence, AI Agent, Call Graph
Semantic Code Analysis, AI Agent Tooling, Code Impact 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.
kin logokin
01Semantic system of record for AI-written software.
02Graph-backed impact analysis for code changes.
03Multi-Agent Collaboration Protocol (MCP) server for AI agent integration.
04Graph-backed filesystem projection (`kin-vfs`) for compatibility with existing tools.
05Atomic admission of complete Git repository history and semantic layer derivation.
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.
kin logokin
↳Reviewing AI-written code changes with semantic impact analysis.
↳Understanding the impact of code changes on a codebase before compilation or testing.
↳Performing semantic search, reference finding, and tracing for code entities.
↳Providing precise, graph-backed context and tools for AI agents.
↳Migrating existing Git repositories to a graph-based authority while maintaining Git interoperability.
FAQ

FAQ

What is the difference between CALM and kin?
Both CALM and kin are in the Code Assistant category. CALM has 17 stars, while kin has 68 stars.
Which is better, CALM or kin?
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 kin if Reviewing AI-written code changes with semantic impact analysis..
Is CALM free or open source?
Yes, CALM is open source on GitHub (MIT).
Is kin free or open source?
Yes, kin is open source on GitHub (Apache-2.0).
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 kin →CALM details →kin details →