Compare Kilo Code vs. Muse Code in 2026

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Description

Kilo Code enables developers to accelerate their engineering workflows using an advanced, fully open-source coding agent built for real-world productivity. It provides specialized modes for planning, coding, debugging, orchestrating tasks, and answering technical questions without altering the existing codebase. The platform automatically detects errors, runs tests, and fixes failures, reducing the frustration of AI-generated mistakes. With its MCP marketplace and tools like Context7, Kilo grounds its output in accurate documentation to eliminate hallucinations. Developers benefit from seamless installation across major IDEs, terminals, and JetBrains environments, making it easy to integrate into existing workflows. The system supports multiple AI agents running in parallel, drastically increasing speed when tackling complex problems. Kilo also offers transparent model usage, open-source governance, and compatibility with more than 60 providers at honest, list-rate pricing. With hundreds of thousands of developers adopting it—many migrating from Cursor—Kilo has become a leading platform for agentic engineering.

Description

Muse Code is a beta terminal coding agent from Meta designed to help developers complete complex software engineering work across large codebases. Powered by Muse Spark 1.2, the agent can plan repository changes, write code, run validation steps, and coordinate persistent subagents for difficult development tasks. Muse Code uses a simple main agent loop supported by async background agents that remain active throughout each session. These background agents can gather information, carry out next steps, and decide when to report back to the main agent, reducing latency and unnecessary user steering. The runtime is built around a local event log where every model call, tool run, approval, and edit is appended. This event log makes Muse Code replay-exact and restart-safe, allowing it to resume from the point of failure after a crash. Muse Code also ships with default skills, including /plan, /grill, and /goal, to support structured planning, plan validation, and objective completion. It can be installed on macOS or Linux and is integrated with Meta’s AI developer ecosystem. By combining terminal-based coding, persistent subagents, replay-safe execution, bundled skills, and Muse Spark 1.2, Muse Code helps developers automate larger and longer software engineering workflows.

API Access

Has API No

API Access

Has API Yes

Screenshots View All

Screenshots View All

Integrations

Constellation Yes

Devstral 2 Yes

GLM-4.1V Yes

GLM-4.5V Yes

GLM-5.1 Yes

GLM-5.2 Yes

GLM-5.3 Yes

KiloClaw Yes

Laguna M.1 Yes

Ling 2.6 Flash Yes

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Integrations

Constellation No

Devstral 2 No

GLM-4.1V No

GLM-4.5V No

GLM-5.1 No

GLM-5.2 No

GLM-5.3 No

KiloClaw No

Laguna M.1 No

Ling 2.6 Flash No

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Pricing Details

$15/user/month

Free Trial No

Free Version Yes

Pricing Details

$1.25 per 1M tokens (input)

Standard pricing: $1.25 per million input tokens and $4.25 per million output tokens

Discounted "contributor" tier costing $0.10 per million input tokens and $0.20 per million output tokens for users who agree to share feedback to improve the AI.

Free Trial No

Free Version Yes