agent · ai-coding-agents
Goose vs OpenCode
55 fields both were evaluated on, 21 of them different — including where one discloses something the other does not. Every value links to the document it came from. 34 further fields are disclosed by neither and are listed at the end rather than tabled.
Assurance
| Field | Goose | OpenCode |
|---|---|---|
| Runtime governance· | “🔒 Security Prompt injection detection, tool permission controls, sandbox mode, and an adversary reviewer that watches for unsafe actions.”goose-docs.ai · checked Aug 1, 2026 | no public information opencode.ai · checked Aug 7, 2026 |
| Permission scopes· | “🔒 Security Prompt injection detection, tool permission controls, sandbox mode, and an adversary reviewer that watches for unsafe actions.”goose-docs.ai · checked Aug 1, 2026 | no public information opencode.ai · checked Aug 7, 2026 |
| Compliance certifications· | no public information goose-docs.ai · checked Aug 1, 2026 | SOC 2 Type 1 and Type 2 compliant “SOC 2 Type 2 Compliant SOC 2 Type 1 Compliant”trust.opencode.ai · checked Sep 21, 2026 |
Agency
| Field | Goose | OpenCode |
|---|---|---|
| Operating environment· | “goose is a general-purpose AI agent that runs on your machine.”goose-docs.ai · checked Aug 1, 2026 | terminal, IDE, or desktop “OpenCode is an open source agent that helps you write code in your terminal, IDE, or desktop.”opencode.ai · checked Aug 7, 2026 |
Safety
| Field | Goose | OpenCode |
|---|---|---|
| Red teaming· | no public information goose-docs.ai · checked Aug 1, 2026 | Third-party penetration test conducted, report available in trust center “Anomaly Penetration Test Report.pdf”trust.opencode.ai · checked Sep 21, 2026 |
| Safety policy· | “🔒 Security Prompt injection detection, tool permission controls, sandbox mode, and an adversary reviewer that watches for unsafe actions.”goose-docs.ai · checked Aug 1, 2026 | no public information opencode.ai · checked Aug 7, 2026 |
| Incident reporting· | no public information goose-docs.ai · checked Aug 1, 2026 | Formal policy covers incident response and breach notification “Incident Response & Breach Notification”trust.opencode.ai · checked Sep 21, 2026 |
| Data handling· | no public information goose-docs.ai · checked Aug 1, 2026 | “Built for privacy first [*] OpenCode does not store any of your code or context data”opencode.ai · checked Aug 7, 2026 |
Practicality
| Field | Goose | OpenCode |
|---|---|---|
| Availability· | “Download the desktop app Available for macOS, Linux, and Windows”goose-docs.ai · checked Aug 1, 2026 | Desktop app is offered as a beta download; no availability status is stated for the CLI “Download the desktop beta now”opencode.ai · checked Aug 7, 2026 Not in our latest capture. We captured this page again on Sep 23, 2026 and this quote was not there. How we re-check citations |
| Deployment options· | macOS, Windows, and Linux “Available on macOS, Windows, and Linux . Download now”opencode.ai · checked Aug 7, 2026 Not in our latest capture. We captured this page again on Sep 23, 2026 and this quote was not there. How we re-check citations | |
| Integrations· | “Connect to 70+ extensions — databases, APIs, browsers, GitHub, Google Drive, and more — via the Model Context Protocol open standard.”goose-docs.ai · checked Aug 1, 2026 | Models.dev “Any model 75+ LLM providers through Models.dev, including local models”opencode.ai · checked Aug 7, 2026 |
Foundation models
| Field | Goose | OpenCode |
|---|---|---|
| Base models· | no public information goose-docs.ai · checked Aug 1, 2026 | Claude, GPT, Gemini “connect any model from any provider, including Claude, GPT, Gemini and more.”opencode.ai · checked Aug 7, 2026 |
| Model provider· | “Works with 15+ providers — Anthropic, OpenAI, Google, Ollama, OpenRouter, Azure, Bedrock, and more.”goose-docs.ai · checked Aug 1, 2026 | any provider, including Claude, GPT, Gemini “connect any model from any provider, including Claude, GPT, Gemini and more.”opencode.ai · checked Aug 7, 2026 |
| Model swappable· | “Use API keys or your existing Claude, ChatGPT, or Gemini subscriptions via ACP .”goose-docs.ai · checked Aug 1, 2026 |
Ecosystem
| Field | Goose | OpenCode |
|---|---|---|
| Protocols supported· | “Model Context Protocol MCP is the open standard for connecting AI agents to tools and data sources.”goose-docs.ai · checked Aug 1, 2026 | |
| Tool use· | “Connect to 70+ extensions — databases, APIs, browsers, GitHub, Google Drive, and more — via the Model Context Protocol open standard.”goose-docs.ai · checked Aug 1, 2026 | no public information opencode.ai · checked Aug 7, 2026 |
| Multi-agent· | “Subagents Spawn independent subagents to handle tasks in parallel — code review, research, file processing — keeping the main conversation clean.”goose-docs.ai · checked Aug 1, 2026 | Start multiple agents in parallel on the same project “Multi-session Start multiple agents in parallel on the same project”opencode.ai · checked Aug 7, 2026 |
| API access· | “Desktop app, CLI, and API — for code, workflows, and everything in between.”goose-docs.ai · checked Aug 1, 2026 | no public information opencode.ai · checked Aug 7, 2026 |
| Open source· |
Impact
| Field | Goose | OpenCode |
|---|---|---|
| User base· | Reports 195,000 GitHub stars, 950 contributors and 13,000+ commits alongside 16M monthly developers. The repository counts are checkable on GitHub; the 16M developer figure is the vendor's own, with no counter named “With over 195,000 GitHub stars, 950 contributors, and over 13,000 commits, OpenCode is used and trusted by over 16M developers every month.”opencode.ai · checked Aug 7, 2026 Not in our latest capture. We captured this page again on Sep 23, 2026 and this quote was not there. How we re-check citations | |
| Deployment scale· | no public information opencode.ai · checked Aug 7, 2026 |
Disclosed by neither
Both Goose and OpenCode publish nothing on these 34 fields. That is a finding about the category rather than a difference between them, so it is recorded here instead of as 34 identical table rows. Each is shown with its source check on the individual profiles.
- Autonomy level
- Human oversight
- Goal complexity
- Action space
- Initiative
- Target sectors
- High-risk domains
- Documented incidents
- Pricing model
- Price point
- Supported regions
- Support model
- Open weights
- Fine-tuning
- Context window
- Marketplace presence
- Safety evaluations
- Usage restrictions
- Model or system card
- Third-party evaluations
- Insurance available
- Insurance carriers
- Coverage limits
- Indemnification
- Liability cap
- Audit trail
- Tamper-evident log
- Explainability
- Regulatory alignment
- Outcome-based pricing
- Settlement mechanism
- Dispute process
- SLA terms
- Evaluation coverage
Questions
- How do Goose and OpenCode compare on base models?
- Goose: no public information disclosed. OpenCode: Claude, GPT, Gemini.
- How do Goose and OpenCode compare on red teaming?
- Goose: no public information disclosed. OpenCode: Third-party penetration test conducted, report available in trust center.
- How do Goose and OpenCode compare on incident reporting?
- Goose: no public information disclosed. OpenCode: Formal policy covers incident response and breach notification.
- How do Goose and OpenCode compare on compliance certifications?
- Goose: no public information disclosed. OpenCode: SOC 2 Type 1 and Type 2 compliant.