Goose vs Augment Code

Detailed side-by-side comparison to help you choose the right tool

Goose

🔴Developer

Developer Tools

Open-source desktop AI agent from Block (formerly Square) that runs locally, edits files, executes shell commands, and natively uses MCP servers as its tool layer.

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Starting Price

Custom

Augment Code

🔴Developer

Developer Tools

Augment Code is an AI coding assistant and agentic development platform built for large-codebase context, engineering workflows, and teams.

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Starting Price

Custom

Feature Comparison

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FeatureGooseAugment Code
CategoryDeveloper ToolsDeveloper Tools
Pricing Plans59 tiers4 tiers
Starting Price
Key Features
    • Context Engine for large-codebase understanding across organizational repositories
    • Cosmos platform coordinating agents across triage, authoring, review, and verification
    • MCP and native tools listed in pricing, plus SOC 2 Type II and no-AI-training language

    Goose - Pros & Cons

    Pros

    • Genuinely free, open-source, and backed by a public company (Block)
    • Cleanest MCP-first design of any major AI agent
    • Desktop + CLI parity makes it usable interactively and in pipelines
    • Works with local models via Ollama for fully offline operation
    • Scoping what the agent can touch is just 'which MCP servers are loaded'

    Cons

    • Less polished than Claude Desktop on the chat UI side
    • Requires comfort with MCP server configuration for non-trivial workflows
    • No native IDE integration — separate from VS Code/JetBrains experience
    • Smaller marketplace of guides/tutorials than Cursor or Cline
    • BYO-key means model spend can surprise users unfamiliar with API pricing

    Augment Code - Pros & Cons

    Pros

    • Pricing is specific: Indie $20/month, Standard $60/developer/month, Max $200/developer/month, Enterprise custom
    • Vendor claims operational metrics such as 4x ship-cycle improvement, 70%+ pages resolved early, and 30% fewer engineering hours
    • Designed for organizations and large codebases, not only solo autocomplete use

    Cons

    • Credit allowances require operational tracking, especially for teams running agents heavily
    • The strongest organizational features are likely most valuable on higher tiers or Enterprise
    • Teams with small repos may not need its large-context and cross-agent coordination layer

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