Cline vs Murmell: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of Cline and Murmell — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

Cline

Cline Bot Inc

Freemium

Open-source coding agent runtime that runs in your IDE, your terminal or embedded via SDK, works with any model, and asks approval on every step.

One runtime, three surfaces: The same agent runs as a VS Code extension, a terminal CLI, or embedded in your own product through the SDK
Model agnostic: Works with Claude, GPT, Gemini, local Ollama or LM Studio models and any OpenAI-compatible endpoint, using your own key or weights
Plan then Act: Align on a strategy in Plan mode before execution, then approve each step in Act mode or flip on auto-approve
Multi-file edits with undo: Coordinated changes across a project with linter-aware fixes, diffs, checkpoints and one-click undo on every step
Live terminal execution: Runs bash commands and reacts to output as it appears, handling dev servers, test runs and deploys
Rules and Skills: Ship .clinerules with the repo so the agent follows your coding standards, architecture and deployment conventions
Multi-agent teams: Coordinator agents delegate to specialists with their own tools and context, and can run on cron for recurring automation
MCP and integrations: Register MCP servers and custom tools, chat from Slack, Discord, Telegram or Linear, and run headlessly in GitHub Actions or GitLab

A developer onboarding to an unfamiliar codebase and asking the agent how files, dependencies and behaviour fit together
Refactoring across a large repository while keeping imports, types and behaviour consistent
Running recurring maintenance — dependency bumps, lint sweeps, scheduled checks — from cron or a CI pipeline
A team that must keep code on self-hosted or local models for compliance reasons, pointing the agent at its own endpoint
Embedding an agent loop inside an internal developer platform via the SDK instead of building one from scratch
Encoding team conventions in .clinerules so every engineer's agent produces consistent, review-ready changes
Triggering a coding task from Slack or Linear and having the agent open the resulting change

Freemium

Cloud canvas that runs Claude Code, Codex, and other coding agents together in one repository with real-time team collaboration.

Multi-Agent Canvas: Runs Claude Code, Codex, Cursor, Gemini, Kimi, Hermes, and OpenCode together on one shared repository.
File-Level Claim Locking: Each agent claims the files it is about to write so parallel agents and humans never overwrite each other.
Murmell Orchestrator: A built-in agent that reads your intent, opens the needed agent terminals, and hands each one its slice of the repo.
Shareable Live Link: Send teammates a URL to watch every change land on the canvas in real time — no install required.
Bring-Your-Own Agent Accounts: Uses your existing Claude, Codex, Cursor, etc. credentials and your own repository — Murmell adds orchestration, not another model.
Cloud Terminals: Agent sessions run in Murmell's cloud so laptops can be closed while long tasks continue.

Parallel Feature Delivery: Split a large task across Claude Code and Codex on the same repo without merge conflicts.
Pair-Coding With Agents: A human and one or more AI agents co-edit files in a shared canvas visible to the whole team.
Team Handoffs: Share a live canvas link so a reviewer or PM can watch the AI implementation happen in real time.
Model Bakeoff: Give the same task to two different agents on the same branch to compare approaches side by side.
Long-Running Refactors: Kick off a multi-hour agent job in Murmell's cloud and check in from any device.