Brand desktop as ApeMind Agent

.github/workflows/pr-smoke-test.yml

@@ -88,33 +88,52 @@ jobs:
     runs-on: ubuntu-latest
     needs: build-binary
     steps:
+      - name: Check Anthropic secret
+        id: check-secrets
+        env:
+          ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}
+        run: |
+          if [ -n "$ANTHROPIC_API_KEY" ]; then
+            echo "has_anthropic=true" >> "$GITHUB_OUTPUT"
+          else
+            echo "has_anthropic=false" >> "$GITHUB_OUTPUT"
+            echo "Skipping smoke tests because ANTHROPIC_API_KEY is not configured for this repository."
+          fi
+
       - name: Checkout Code
+        if: steps.check-secrets.outputs.has_anthropic == 'true'
         uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd  # v6.0.2
         with:
           ref: ${{ github.event.inputs.branch || github.ref }}
 
       - name: Download Binary
+        if: steps.check-secrets.outputs.has_anthropic == 'true'
         uses: actions/download-artifact@3e5f45b2cfb9172054b4087a40e8e0b5a5461e7c  # v8.0.1
         with:
           name: goose-binary
           path: target/debug
 
       - name: Make Binary Executable
+        if: steps.check-secrets.outputs.has_anthropic == 'true'
         run: chmod +x target/debug/goose
 
       - name: Set up Node.js
+        if: steps.check-secrets.outputs.has_anthropic == 'true'
         uses: actions/setup-node@v4
         with:
           node-version: '22'
 
       - name: Install agentic providers
+        if: steps.check-secrets.outputs.has_anthropic == 'true'
         run: npm install -g @anthropic-ai/claude-code @zed-industries/claude-agent-acp @zed-industries/codex-acp
 
       - name: Install Node.js Dependencies
+        if: steps.check-secrets.outputs.has_anthropic == 'true'
         run: source ../../bin/activate-hermit && pnpm install --frozen-lockfile
         working-directory: ui/desktop
 
       - name: Run Smoke Tests (Normal Mode)
+        if: steps.check-secrets.outputs.has_anthropic == 'true'
         env:
           ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}
           OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
@@ -137,14 +156,17 @@ jobs:
         working-directory: ui/desktop
 
       - name: Set up Python
+        if: steps.check-secrets.outputs.has_anthropic == 'true'
         uses: actions/setup-python@v6
         with:
           python-version: '3.12'
 
       - name: Install uv
+        if: steps.check-secrets.outputs.has_anthropic == 'true'
         uses: astral-sh/setup-uv@61cb8a9741eeb8a550a1b8544337180c0fc8476b  # v7.2.0
 
       - name: Run MCP Tests
+        if: steps.check-secrets.outputs.has_anthropic == 'true'
         env:
           ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}
           OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
@@ -161,6 +183,7 @@ jobs:
           bash scripts/test_mcp.sh
 
       - name: Run Subrecipe Tests
+        if: steps.check-secrets.outputs.has_anthropic == 'true'
         env:
           ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}
           GOOSE_PROVIDER: anthropic
@@ -219,29 +242,47 @@ jobs:
     runs-on: ubuntu-latest
     needs: build-binary
     steps:
+      - name: Check Anthropic secret
+        id: check-secrets
+        env:
+          ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}
+        run: |
+          if [ -n "$ANTHROPIC_API_KEY" ]; then
+            echo "has_anthropic=true" >> "$GITHUB_OUTPUT"
+          else
+            echo "has_anthropic=false" >> "$GITHUB_OUTPUT"
+            echo "Skipping compaction tests because ANTHROPIC_API_KEY is not configured for this repository."
+          fi
+
       - name: Checkout Code
+        if: steps.check-secrets.outputs.has_anthropic == 'true'
         uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd  # v6.0.2
         with:
           ref: ${{ github.event.inputs.branch || github.ref }}
 
       - name: Download Binary
+        if: steps.check-secrets.outputs.has_anthropic == 'true'
         uses: actions/download-artifact@3e5f45b2cfb9172054b4087a40e8e0b5a5461e7c  # v8.0.1
         with:
           name: goose-binary
           path: target/debug
 
       - name: Make Binary Executable
+        if: steps.check-secrets.outputs.has_anthropic == 'true'
         run: chmod +x target/debug/goose
 
       - name: Set up Python
+        if: steps.check-secrets.outputs.has_anthropic == 'true'
         uses: actions/setup-python@v6
         with:
           python-version: '3.12'
 
       - name: Install uv
+        if: steps.check-secrets.outputs.has_anthropic == 'true'
         uses: astral-sh/setup-uv@61cb8a9741eeb8a550a1b8544337180c0fc8476b  # v7.2.0
 
       - name: Run Compaction Tests
+        if: steps.check-secrets.outputs.has_anthropic == 'true'
         env:
           ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}
           GOOSE_PROVIDER: anthropic
@@ -259,25 +300,42 @@ jobs:
     runs-on: ubuntu-latest
     needs: build-binary
     steps:
+      - name: Check Anthropic secret
+        id: check-secrets
+        env:
+          ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}
+        run: |
+          if [ -n "$ANTHROPIC_API_KEY" ]; then
+            echo "has_anthropic=true" >> "$GITHUB_OUTPUT"
+          else
+            echo "has_anthropic=false" >> "$GITHUB_OUTPUT"
+            echo "Skipping goose server HTTP integration tests because ANTHROPIC_API_KEY is not configured for this repository."
+          fi
+
       - name: Checkout Code
+        if: steps.check-secrets.outputs.has_anthropic == 'true'
         uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd  # v6.0.2
         with:
           ref: ${{ github.event.inputs.branch || github.ref }}
 
       - name: Download Binary
+        if: steps.check-secrets.outputs.has_anthropic == 'true'
         uses: actions/download-artifact@3e5f45b2cfb9172054b4087a40e8e0b5a5461e7c  # v8.0.1
         with:
           name: goosed-binary
           path: target/debug
 
       - name: Make Binary Executable
+        if: steps.check-secrets.outputs.has_anthropic == 'true'
         run: chmod +x target/debug/goosed
 
       - name: Install Node.js Dependencies
+        if: steps.check-secrets.outputs.has_anthropic == 'true'
         run: source ../../bin/activate-hermit && pnpm install --frozen-lockfile
         working-directory: ui/desktop
 
       - name: Run Integration Tests
+        if: steps.check-secrets.outputs.has_anthropic == 'true'
         env:
           ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}
           GOOSED_BINARY: ../../target/debug/goosed

README.md

@@ -1,61 +1,57 @@
-> **🦆 goose has moved!** This project has moved from `block/goose` to the [Agentic AI Foundation (AAIF)](https://aaif.io/) at the Linux Foundation. Some links and references are still being updated — please bear with us during the transition.
+# ApeMind Agent
 
-<div align="center">
+ApeMind Agent is an ApeCloud desktop agent distribution based on upstream
+[Goose](https://github.com/aaif-goose/goose). It runs on the user's own machine
+and provides a local desktop entry point for agent workflows.
 
-# goose
+The first PoC focuses on desktop branding and safe packaging defaults while
+keeping the fork shallow enough to continue tracking upstream.
 
-_your native open source AI agent — desktop app, CLI, and API — for code, workflows, and everything in between_
+## What This Fork Changes
 
-<p align="center">
-  <a href="https://opensource.org/licenses/Apache-2.0"
-    ><img src="https://img.shields.io/badge/License-Apache_2.0-blue.svg"></a>
-  <a href="https://discord.gg/goose-oss"
-    ><img src="https://img.shields.io/discord/1287729918100246654?logo=discord&logoColor=white&label=Join+Us&color=blueviolet" alt="Discord"></a>
-  <a href="https://github.com/aaif-goose/goose/actions/workflows/ci.yml"
-     ><img src="https://img.shields.io/github/actions/workflow/status/aaif-goose/goose/ci.yml?branch=main" alt="CI"></a>
-  <a href="https://insights.linuxfoundation.org/project/goose"><img src="https://insights.linuxfoundation.org/api/badge/health-score?project=goose"></a>
-  <a href="https://repology.org/project/goose-cli/versions"><img src="https://repology.org/badge/tiny-repos/goose-cli.svg" alt="Packaging status"></a>
-</p>
-</div>
+- ApeMind Agent product name and desktop-facing copy.
+- ApeCloud/ApeMind visual assets for desktop packaging.
+- Build defaults that avoid telemetry, OTel, and AWS provider features unless
+  explicitly enabled.
 
-goose is a general-purpose AI agent that runs on your machine. Not just for code — use it for research, writing, automation, data analysis, or anything you need to get done.
+Packaging artifact names for desktop installers, CLI downloads, and Docker
+images are tracked separately as distribution work.
 
-A native desktop app for macOS, Linux, and Windows. A full CLI for terminal workflows. An API to embed it anywhere. Built in Rust for performance and portability.
+## What Stays Upstream-Compatible
 
-goose works with 15+ providers — Anthropic, OpenAI, Google, Ollama, OpenRouter, Azure, Bedrock, and more. Use API keys or your existing Claude, ChatGPT, or Gemini subscriptions via [ACP](https://goose-docs.ai/docs/guides/acp-providers). Connect to 70+ extensions via the [Model Context Protocol](https://modelcontextprotocol.io/) open standard.
+- Core agent loop.
+- Tool execution behavior.
+- Provider runtime internals.
+- MCP runtime internals.
+- Cargo crate names and repository path.
 
-goose is part of the [Agentic AI Foundation (AAIF)](https://aaif.io/) at the Linux Foundation.
+## Target Users
 
-# Get started
+The main user entry point is the desktop app:
 
-**[Download the desktop app](https://goose-docs.ai/docs/getting-started/installation)** for macOS, Linux, and Windows.
+- macOS Desktop for internal team validation.
+- Windows Desktop for customer validation.
+- CLI for debugging and automation.
+- Docker for distribution and automated smoke checks.
 
-Or install the CLI:
+## Build Notes
+
+The PoC CLI profile uses upstream feature flags and release settings:
 
 ```bash
-curl -fsSL https://github.com/aaif-goose/goose/releases/download/stable/download_cli.sh | bash
+source ./bin/activate-hermit >/tmp/hermit.log 2>&1
+CARGO_PROFILE_RELEASE_LTO=true \
+CARGO_PROFILE_RELEASE_CODEGEN_UNITS=1 \
+CARGO_PROFILE_RELEASE_OPT_LEVEL=z \
+CARGO_PROFILE_RELEASE_STRIP=true \
+  cargo build --release --package goose-cli --bin goose \
+  --no-default-features --features rustls-tls
 ```
 
-# Quick links
-- [Quickstart](https://goose-docs.ai/docs/quickstart)
-- [Installation](https://goose-docs.ai/docs/getting-started/installation)
-- [Tutorials](https://goose-docs.ai/docs/category/tutorials)
-- [Documentation](https://goose-docs.ai/docs/category/getting-started)
-- [Governance](https://github.com/aaif-goose/goose/blob/main/GOVERNANCE.md)
-- [Custom Distributions](https://github.com/aaif-goose/goose/blob/main/CUSTOM_DISTROS.md) — build your own goose distro with preconfigured providers, extensions, and branding
-
-## Need help?
-- [Diagnostics & Reporting](https://goose-docs.ai/docs/troubleshooting/diagnostics-and-reporting)
-- [Known Issues](https://goose-docs.ai/docs/troubleshooting/known-issues)
-
-# a little goose humor 🪿
-
-> Why did the developer choose goose as their AI agent?
-> 
-> Because it always helps them "migrate" their code to production! 🚀
-
-# goose around with us
-- [Discord](https://discord.gg/goose-oss)
-- [YouTube](https://www.youtube.com/@goose-oss)
-- [LinkedIn](https://www.linkedin.com/company/goose-oss)
-- [Twitter/X](https://x.com/goose_oss)
+This keeps AWS provider, telemetry, and OTel out of the default PoC build.
+
+## Upstream
+
+This project is a branded distribution of Goose, an Apache-2.0 licensed open
+source project from the Agentic AI Foundation at the Linux Foundation. Keep the
+upstream license and notices intact when distributing ApeMind Agent.

crates/goose/src/agents/snapshots/goose__agents__prompt_manager__tests__all_platform_extensions.snap

@@ -3,8 +3,8 @@ source: crates/goose/src/agents/prompt_manager.rs
 assertion_line: 458
 expression: system_prompt
 ---
-You are a general-purpose AI agent called goose, created by AAIF (Agentic AI Foundation).
-goose is being developed as an open-source software project.
+You are a general-purpose AI agent called ApeMind Agent, an ApeCloud desktop agent distribution based on the open-source Goose project.
+ApeMind Agent is designed to run on the user's own machine.
 
 # Extensions
 

crates/goose/src/agents/snapshots/goose__agents__prompt_manager__tests__basic.snap

@@ -2,8 +2,8 @@
 source: crates/goose/src/agents/prompt_manager.rs
 expression: system_prompt
 ---
-You are a general-purpose AI agent called goose, created by AAIF (Agentic AI Foundation).
-goose is being developed as an open-source software project.
+You are a general-purpose AI agent called ApeMind Agent, an ApeCloud desktop agent distribution based on the open-source Goose project.
+ApeMind Agent is designed to run on the user's own machine.
 
 # Extensions
 

crates/goose/src/agents/snapshots/goose__agents__prompt_manager__tests__one_extension.snap

@@ -2,8 +2,8 @@
 source: crates/goose/src/agents/prompt_manager.rs
 expression: system_prompt
 ---
-You are a general-purpose AI agent called goose, created by AAIF (Agentic AI Foundation).
-goose is being developed as an open-source software project.
+You are a general-purpose AI agent called ApeMind Agent, an ApeCloud desktop agent distribution based on the open-source Goose project.
+ApeMind Agent is designed to run on the user's own machine.
 
 # Extensions
 

crates/goose/src/agents/snapshots/goose__agents__prompt_manager__tests__typical_setup.snap

@@ -2,8 +2,8 @@
 source: crates/goose/src/agents/prompt_manager.rs
 expression: system_prompt
 ---
-You are a general-purpose AI agent called goose, created by AAIF (Agentic AI Foundation).
-goose is being developed as an open-source software project.
+You are a general-purpose AI agent called ApeMind Agent, an ApeCloud desktop agent distribution based on the open-source Goose project.
+ApeMind Agent is designed to run on the user's own machine.
 
 # Extensions
 
@@ -26,6 +26,7 @@ extension_A supports resources.
 ### Instructions
 <instructions on how to use extension B (no resources)>
 
+
 # Suggestion
 
 The user has 6 extensions with 51 tools enabled, exceeding recommended limits (5 extensions or 50 tools).

crates/goose/src/prompts/subagent_system.md

@@ -1,34 +1,41 @@
-You are a specialized subagent within the goose AI framework, created by AAIF (Agentic AI Foundation). You were spawned by the main goose agent to handle a specific task efficiently.
+You are a specialized subagent within ApeMind Agent, an ApeCloud desktop agent distribution based on the open-source Goose project. You were spawned by the main agent to handle a specific task efficiently.
 
 # Your Role
+
 You are an autonomous subagent with these characteristics:
+
 - **Independence**: Make decisions and execute tools within your scope
 - **Specialization**: Focus on specific tasks assigned by the main agent
 - **Efficiency**: Use tools sparingly and only when necessary
 - **Bounded Operation**: Operate within defined limits (turn count, timeout)
 - **Security**: Cannot spawn additional subagents
-The maximum number of turns to respond is {{max_turns}}.
+  The maximum number of turns to respond is {{max_turns}}.
 
 {% if subagent_id is defined %}
 **Subagent ID**: {{subagent_id}}
 {% endif %}
 
 {% if task_instructions %}
+
 # Task Instructions
+
 {{task_instructions}}
 {% endif %}
 
 # Tool Usage Guidelines
+
 **CRITICAL**: Be efficient with tool usage. Use tools only when absolutely necessary to complete your task. Here are the available tools you have access to:
 You have access to {{tool_count}} tools: {{available_tools}}
 
 **Tool Efficiency Rules**:
+
 - Use the minimum number of tools needed to complete your task
 - Avoid exploratory tool usage unless explicitly required
 - Stop using tools once you have sufficient information
 - Provide clear, concise responses without excessive tool calls
 
 # Communication Guidelines
+
 - **Progress Updates**: Report progress clearly and concisely
 - **Completion**: Clearly indicate when your task is complete
 - **Scope**: Stay focused on your assigned task

crates/goose/src/prompts/system.md

@@ -1,5 +1,5 @@
-You are a general-purpose AI agent called goose, created by AAIF (Agentic AI Foundation).
-goose is being developed as an open-source software project.
+You are a general-purpose AI agent called ApeMind Agent, an ApeCloud desktop agent distribution based on the open-source Goose project.
+ApeMind Agent is designed to run on the user's own machine.
 {% if not code_execution_mode %}
 
 # Extensions
@@ -31,6 +31,7 @@ No extensions are defined. You should let the user know that they should add ext
 
 {% if extension_tool_limits is defined and not code_execution_mode %}
 {% with (extension_count, tool_count) = extension_tool_limits  %}
+
 # Suggestion
 
 The user has {{extension_count}} extensions with {{tool_count}} tools enabled, exceeding recommended limits ({{max_extensions}} extensions or {{max_tools}} tools).

crates/goose/src/prompts/tiny_model_system.md

@@ -1,4 +1,4 @@
-You are goose, an autonomous AI agent created by AAIF (Agentic AI Foundation). You act on the user's
+You are ApeMind Agent, an autonomous AI agent that runs on the user's
 behalf — you do not explain how to do things, you DO them directly.
 
 The OS is {{os}}, the shell is {{shell}}, and the working directory is {{working_directory}}
@@ -19,4 +19,4 @@ $ ls -1 /tmp | wc -l
 After a command runs, you will see its output. Use the output to answer the user
 or take the next step. Do not repeat commands you have already run.
 
-Do not use shell commands if you already know the answer.
+Do not use shell commands if you already know the answer.