Factory Droid
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Terminal-native enterprise coding agent ('Droid') that plans, edits, tests, reviews, and helps deploy code, with multi-agent 'Missions' for long-running projects.
Key Features
Multi-Agent Single Agent Human-in-the-Loop Streaming Async Support Short-Term Memory Shared Memory Custom Tools MCP Protocol Code Execution Web Browsing File System Access Sandboxing DAG Workflows CLI Cloud Hosted
Community Feedback
Strengths
- Missions orchestrator handles long-running projects better than a single long agent session
- Model-agnostic; can pair a strong orchestrator model with cheaper worker models for cost control
- Strong enterprise controls (SSO, ZDR, audit logs, on-prem option)
- Free access to Factory's own Droid Core open-weight models on every plan
Weaknesses
- Proprietary and not self-hostable for free
- No published Enterprise pricing; requires a sales conversation
- Missions requires prepaid Extra Usage credits, which some users find unpredictable
- Heavy users often need Plus/Max tier due to rolling rate limits
Factory Droid Details
| Organization | Factory (The San Francisco AI Factory Inc.) |
| Organization Type | Company |
| Funding | Series b+ |
| Category | Ready-to-Use |
| Subcategory | Code generation |
| Deployment | Cloud |
| Runtime | CLI, desktop app, and SDK |
| License | Proprietary |
| Commercial Use | Proprietary |
| Install Command | curl -fsSL https://app.factory.ai/cli | sh |
| Release Cadence | Weekly |
| Maturity | Mature |
| Pricing Model | Paid |
| Cost Model | per-seat subscription with rolling usage limits, plus prepaid Extra Usage credits |
| Community Activity | Very active |
| Sentiment | Positive |
| GPU Required | No |
| Research Date | 2026-07-23 |
| LLM Providers | Anthropic Claude, OpenAI GPT-5.x, Google Gemini, Droid Core (Factory-managed open-weight models: MiniMax, GLM, Kimi K2) |
Use Cases
- Code migrations and codebase modernization
- Automated test generation and documentation writing
- Long-running, multi-milestone projects via Missions
- Automated code review and incident response
When to Use
Best for: Enterprise teams running large, long-horizon engineering projects (migrations, modernization) that need multi-agent orchestration and admin controls
Avoid when: Individual hobbyist use case where simpler, cheaper single-agent tools suffice
Original data from HuggingFace, Arena and various public git repos.
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Release v20260328a