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TL;DR
- Factory Droid CLI is a hosted, integration-heavy agent platform. You assign work, it runs in cloud sandboxes, opens PRs, and pings you back. Multi-model: Claude Opus 4.7, Sonnet 4.6, GPT-5, Gemini 2.5 Pro.
- OpenCode is an open-source, MIT-licensed terminal coding agent (opencode.ai). You bring your own keys, run it locally, and own the entire stack. Provider-agnostic by design.
- Setup: Droid wants integrations (GitHub, Linear/Jira) to shine; OpenCode is a single binary that works in 60 seconds with an API key.
- Workflow: Droid is delegate-and-walk-away; OpenCode is interactive-with-optional-autonomy.
- Pick Droid for team async work, ticket queues, and managed infrastructure. Pick OpenCode for full control, transparency, and a tool you can fork.
- These are not the same product. Comparing them is more like comparing GitHub Actions to a self-hosted CI runner than comparing two IDEs.
What each tool is
Factory Droid CLI is the terminal client to Factory.ai's Droid platform. Droids are LLM agents Factory positions as "AI engineers" — you assign tickets, they plan, code, test, and PR. The CLI is the local entry point; the heavy lifting happens on Factory's infrastructure.
OpenCode (opencode.ai) is an open-source terminal AI coding agent. It is provider-agnostic — works with Anthropic, OpenAI, Google, Groq, OpenRouter, local models via Ollama, and more. The codebase lives on GitHub under a permissive license. Based on public docs as of April 2026, it has become a popular Claude Code alternative for developers who want open-source tooling and BYOK simplicity.
The fundamental split: Droid is a managed product with a backend, OpenCode is a binary you run locally that talks directly to whichever provider you choose.
Setup
Droid
- Install the
droidbinary. - Sign into a Factory account.
- Connect GitHub (required for the good workflows).
- Connect Linear, Jira, or GitHub Issues (optional but where most of the value lives).
- Configure repo Specs, model preferences, and team policies in Factory's web UI.
You can chat with Droid in 5 minutes. To get the "assign me a ticket and I'll come back with a PR" flow, expect 15-30 minutes of setup.
OpenCode
- Install via curl, npm, or Homebrew.
- Run
opencode authand paste an API key (Anthropic, OpenAI, OpenRouter, etc.). - Open a repo and start.
That is it. No accounts, no integrations, no backend. If you have ever installed gh or ripgrep, this is the same shape.
Time to first useful interaction: under 2 minutes for OpenCode; 5-30 minutes for Droid depending on how much of the platform you want to use.
Workflow style
Droid: hand-off is the point
Droid's defining workflow is async. You write droid run "fix the flaky test in billing.spec.ts" (or assign a ticket in Linear), and the agent picks a model, makes a plan, edits files, runs tests in a sandbox, and opens a PR. You review when convenient.
You can run multiple Droids in parallel, each on a different ticket. The platform tracks runs, costs, and outcomes. There is a real "manage my AI engineers" surface area, which is helpful if your team is treating AI as additional throughput.
OpenCode: interactive first, agentic when you want
OpenCode runs in your terminal as an interactive session. You chat, it edits, you approve. It supports an "auto" mode where it executes a multi-step plan without prompting for every action, but the default is human-in-the-loop.
Because it runs locally, it has direct access to your filesystem, your shell, your processes. Tests run on your machine, not in a sandbox. That is faster and more flexible — and means you should not point it at a repo you do not trust.
OpenCode does not have a built-in "fan out three tickets" mode. You can do it with tmux and worktrees, but it is not the default the way it is with Droid.
Strengths
Droid
- Async-native. Built for "go do this, come back when done."
- Multi-model from one CLI. Switch between Claude, GPT-5, Gemini per task.
- Team and audit features. Run history, shared specs, role-based access.
- Sandboxed execution. Tests run remotely; lower local-blast-radius risk.
- Ticket integration. Linear/Jira/GitHub Issues are first-class.
OpenCode
- Open source. Read the code, fork it, audit the prompts. Nothing is hidden.
- Provider-agnostic by design. Anthropic, OpenAI, Google, Groq, Ollama, OpenRouter — same UI for all.
- Local-first. Works offline against local models (Ollama, llama.cpp). Useful for air-gapped or privacy-sensitive work.
- Tiny install footprint. A binary and a config file.
- Community-driven. Plugins, themes, and prompt patterns ship from a real community of users.
- No vendor lock-in. Your data, your keys, your infrastructure.
Weaknesses
Droid
- Hosted, by definition. Your code (or at least your repo metadata) flows through Factory.
- Onboarding is heavier when you want the full async workflow.
- Pricing has multiple layers (platform + models + sandbox compute). Estimate carefully.
- Less hackable than open-source tools. You get what Factory ships.
OpenCode
- No managed async story. Long-running tasks live in your terminal.
- No first-party team features — sharing prompts and specs is a manual process.
- Documentation and polish lag behind hosted offerings; you are sometimes on the bleeding edge.
- You manage your own provider keys, rate limits, and cost dashboards.
Cost shape
OpenCode is free as software. Your only cost is the model usage you pay providers directly. This is the BYOK pure case — perfectly predictable, perfectly transparent.
Droid is a SaaS product with seats, model usage, and (often) sandbox compute. You can BYOK the model side. The platform layer is the trade for the integrations and async workflow. Worth it for some teams; overhead for others.
Multi-model in practice
Both tools are model-agnostic on paper. The difference is where the routing happens.
- OpenCode lets you set a default model per project and override per session. Want GPT-5 for this thread, Claude Opus 4.7 for the next? Easy. The downside: you have to think about it.
- Droid can pick a model per task based on policy or let you set defaults at the org level. There is also some routing logic on Factory's side (e.g., "use Gemini 2.5 Pro for very large context tasks").
If you want explicit, file-by-file control: OpenCode. If you want "the platform picks something reasonable": Droid.
A practical recommendation matrix
| If you want to... | Use |
|---|---|
| Audit every prompt the agent sends | OpenCode |
| Delegate tickets and review PRs the next morning | Droid |
| Run against a local model (Ollama, etc.) | OpenCode |
| Mix Claude, GPT-5, Gemini per task without managing keys per provider | Droid |
| Stay in pure BYOK with no SaaS layer | OpenCode |
| Run on locked-down corporate infrastructure | OpenCode (self-hostable) |
| Spin up many parallel agent runs | Droid |
| Hack on the agent itself | OpenCode |
| Get team-wide audit and policy | Droid |
Where each one fits the 2026 stack
Both fit the broader patterns from vibe coding in 2026:
- OpenCode sits comfortably alongside Cursor or Zed as the "terminal agent" half of a per-developer setup. It is a clean fit for solo developers and small teams that want zero lock-in.
- Droid is more of a team platform. It pairs well with whatever IDE the team uses individually, while serving as the shared async work queue.
It is not absurd to use both. OpenCode locally for hands-on work, Droid for the queue. The CLIs do not fight.
Honest verdict
These are different products solving different problems.
OpenCode is the right answer if you value transparency, lock-in avoidance, local execution, or just like the open-source ethos. It is also the right answer if you do not want a SaaS bill.
Droid is the right answer if your bottleneck is people-time, not tool quality — if "spin up an AI to handle this ticket while I focus on something else" is the workflow you actually want, and you are willing to pay a platform for it.
The wrong move is treating them as substitutes and being annoyed that one does not behave like the other. Decide what you want first; the choice falls out of that.
Either way, you should own your keys and your data. NovaKit is a BYOK AI workspace that complements your terminal agent — chat, planning, and knowledge bases in one place, no SaaS lock-in on your model usage.