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block/goose

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49,564 stars·5,235 forks·Rust·Apache-2.0·25 viewsblock.github.io/goose↗

Goose

Goose is an extensible agentic AI platform designed for autonomous task orchestration and developer-centric assistance. It provides a workflow engine that manages complex, multi-step objectives by delegating tasks to specialized subagents, all while maintaining stateful session continuity. The system is built to integrate directly into terminal and coding environments, allowing for automated file manipulation and context-aware interaction.

The platform distinguishes itself through a secure, sandboxed runtime environment that enforces granular permission controls and policy-driven guardrails. By utilizing a standardized protocol-based architecture, it allows users to connect external tools, services, and third-party models as modular extensions. This framework supports the creation of reproducible automation recipes, which can be configured, shared, and executed to standardize recurring workflows across different projects.

Beyond its core orchestration capabilities, the system includes comprehensive developer tooling for session management, interaction logging, and terminal-based interfaces. It supports advanced automation tasks, including browser-based testing and external service integration, through a flexible extension lifecycle that allows for dynamic toolset adjustments during active sessions.

Features

  • Agent Orchestration Platforms - Manages and executes complex multi-step tasks through coordinated autonomous agents and subagents.
  • Agent Task Execution - Enables automated operations through desktop applications or command-line interfaces to ensure high performance for complex workflows.
  • Agentic Workflow Engines - Provides a system for defining, automating, and sharing repeatable task sequences using structured configurations.
  • Agent Frameworks - Enables building modular AI systems that integrate external tools and services through standardized communication protocols.
  • Autonomous Agent Orchestration - Manages complex multi-step workflows by delegating tasks to specialized subagents.
  • Developer AI Assistance - Integrates context-aware AI directly into terminal and coding environments to automate development tasks.
  • Sandboxed Execution Environments - Protects the host system by isolating agent operations and enforcing granular permission controls during task execution.
  • Automation Recipes - Defines repeatable agent workflows by configuring instructions and tool extensions for complex tasks.
  • AI Coding Assistants - Provides context-aware coding assistance and automated file manipulation directly within the terminal environment.
  • Development Environment Integrations - Connects coding agents to development tools using open standards to enable seamless interaction between the agent and the code editor interface.
  • Secure AI Tool Integrations - Connects external services and data sources to automated agents while enforcing strict security policies.
  • Security Guardrails - Intercepts and evaluates tool calls against custom security rules to prevent potentially dangerous or unauthorized operations.
  • Context Engineering - Supplies relevant codebase information and instructions to guide reasoning processes and improve response accuracy.
  • Reproducible Automation Recipes - Provides a system for defining and sharing standardized agent configurations to ensure consistent task execution.
  • Task Delegation - Assigns multi-step or parallel objectives to autonomous subagents by providing natural language instructions and managing their lifecycle.
  • Agent Frameworks - Local engineering agent for debugging, dependency management, and orchestration.
  • Agent Frameworks and Platforms - General-purpose agent that learns to use new extensions.
  • Coding Agents - Extensible AI agent for advanced coding tasks.
  • Coding Agents and IDEs - Extensible terminal agent for editing and testing code.
  • Terminal User Interfaces - Renders an interactive chat window within the terminal supporting real-time streaming and tool execution visualization.
  • Agent Security Monitoring - Provides security monitoring to detect prompt injections and enforce granular permission controls within sandboxed environments.
  • Agent Security Runtimes - Provides a protected execution environment with granular permission controls and sandboxing for automated tool interactions.
  • Extension Security Policies - Sets content security rules to safely permit external domains for network requests and resource loading.
  • External Tool Integrations - Links agents to external data sources and services using standardized protocols to expand functional capabilities.
  • Server Logic Development - Implements custom tools, resources, and prompts to define the specific capabilities agents can access.
  • Task Decompositions - Breaks down large, multi-step objectives into smaller, manageable tasks that the agent can execute sequentially or in parallel.
  • CLI Agent Management - Executes command line instructions to control active sessions and manage extension configurations.
  • Session Management - Organizes interactive conversations by creating, listing, and switching between history logs.
  • Subagent Permission Management - Limits subagent access to sensitive functions like extension management and task scheduling to ensure safe execution.
  • Hierarchical Subagent Orchestrations - Manages the lifecycle and task delegation of autonomous sub-components to execute complex, multi-step objectives in parallel.
  • Agent Provider Integrations - Connects external protocols to execute complex tasks and select specialized language models.
  • External Agent Integrations - Configures third-party agents as standardized servers to coordinate and utilize external tools and services directly within the primary agent workflow.
  • External Service Integrations - Connects external data sources and specialized tools to the agent environment via server extensions.
  • Subagent Configurations - Defines specialized subagents using natural language prompts to establish specific instructions and behavioral parameters.
  • Web Automation Extensions - Controls web browsers through server extensions to perform automated tasks and run tests.
  • Workflow Automations - Configures automated retry logic and enforces structured data outputs to ensure tasks complete reliably.
  • Stateful Session Management - Stores and retrieves conversation history locally to maintain continuity and audit decision-making processes across multiple development tasks.
  • Policy-Driven Execution Guardrails - Intercepts and evaluates tool calls against plain-language security rules to prevent unauthorized actions within the agent environment.
  • Browser Automation - Generates browser tests by providing natural language instructions to guide agents through web interactions.
  • Component Testing - Verifies extension functionality through browser-based inspection and command-line interface validation before deployment.

Star history

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Frequently asked questions

What does block/goose do?

Goose is an extensible agentic AI platform designed for autonomous task orchestration and developer-centric assistance. It provides a workflow engine that manages complex, multi-step objectives by delegating tasks to specialized subagents, all while maintaining stateful session continuity. The system is built to integrate directly into terminal and coding environments, allowing for automated file manipulation and context-aware interaction.

What are the main features of block/goose?

The main features of block/goose are: Agent Orchestration Platforms, Agent Task Execution, Agentic Workflow Engines, Agent Frameworks, Autonomous Agent Orchestration, Developer AI Assistance, Sandboxed Execution Environments, Automation Recipes.

What are some open-source alternatives to block/goose?

Open-source alternatives to block/goose include: kilo-org/kilocode — Kilocode is an autonomous engineering platform designed to orchestrate AI agents for complex software development… openai/openai-agents-python — This project is a Python framework for building autonomous, event-driven agent systems. It provides a unified runtime… github/awesome-copilot — Awesome Copilot is a comprehensive framework for autonomous software development, providing the infrastructure to… shareai-lab/learn-claude-code — This project provides a modular framework for building and orchestrating autonomous AI agents. It functions as an… kortix-ai/suna — Suna is an orchestration platform designed for the deployment, management, and governance of autonomous AI agents. It… langchain-ai/langchainjs — LangChain.js is a framework for building, executing, and monitoring stateful agentic applications. It provides an…