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Goose

A local, open source AI agent for engineering work

Goose is an on-machine AI agent that can automate development tasks from start to finish. It runs locally, works with any LLM, and connects to MCP servers or APIs for broader tool access.

Open Source
Code Execution
B2B
CLI
Self-Hosted
On-Device / Edge
MCP Support
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About

What It Is

Goose is an open source AI agent for developers and engineering teams. It is built to do more than suggest code: according to its documentation, it can write and execute code, debug failures, orchestrate workflows, and interact with external APIs.

What to Know

Goose is notably more agentic than a typical coding assistant because it is designed to complete multi-step engineering tasks autonomously. The project also emphasizes flexibility: it supports any LLM and multi-model configuration, and it can be extended through MCP servers and APIs.

Key Features
Runs locally on the user's machine
Supports any LLM
Allows multi-model configuration
Connects to external MCP servers
Connects to external APIs
Use Cases
Automating software development tasks end to end
Debugging code and iterating on failed runs
Building prototypes or entire projects from scratch
Agenticness: Adaptive Collaborator

Proposes and executes multi-step plans with your approval.

High evidence
Last evaluated: Mar 27, 2026
This tool has strong action capabilities but limited safety controls. Use with appropriate oversight.

Dimension Breakdown

Action Capability
Autonomy
Adaptation
State & Memory
Safety
How agenticness works →

Categories

Engineering & DevTools
Pricing
  • Free: Open source under the Apache 2.0 license.
  • Pro: Not publicly available.
  • Enterprise: Not publicly available.
Details
github.com
AddedMarch 26, 2026
RefreshedMarch 28, 2026
Agenticness
Adaptive Collaborator
Quick Facts
DeploymentOn-device / local
AutonomySemi-autonomous
Model supportSupports local models
Open sourceYes
MCP supportYes
Team supportSmall team
Pricing modelFree / open source
Interfacecli
Sources
Webgoose
GHblock/goose
GHREADME.md
Last updated March 30, 2026
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