Devon
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Open-source AI pair programmer — plans, edits, tests, and debugs code locally
Key Features
Multi-Agent
Single Agent
Human-in-the-Loop
Streaming
Async Support
Type Safe
Short-Term Memory
Long-Term Memory
Shared Memory
Plugin System
Custom Tools
MCP Protocol
A2A Protocol
Code Execution
Web Browsing
File System Access
Sandboxing
Guardrails
Structured Output
DAG Workflows
Visual Builder
CLI
API Server
Self-Hosted
Cloud Hosted
Community Feedback
Strengths
- Lightweight and runs locally
- Multiple LLM provider support
- Open-source
- Practical features for daily coding
Weaknesses
- Smaller community
- Limited documentation
- Development has slowed significantly
- Plugin system still planned, not implemented
- Not state-of-the-art on SWE-bench
Devon Details
| Organization | Entropy Research |
| Organization Type | Community |
| Category | Ready-to-Use |
| Subcategory | Code generation |
| Deployment | Self-Hosted |
| Primary Language | Python |
| Runtime | Python 3.10+ |
| License | AGPL-3.0 |
| Commercial Use | Copyleft |
| GitHub Stars | 3,500 |
| GitHub Forks | 280 |
| Maturity | Alpha |
| Pricing Model | Free |
| Free Tier | Fully free and open-source (AGPL-3.0) |
| Self-Hosted Free | Yes |
| Cost Model | free + LLM costs |
| Community Size | Small (3.5k stars) |
| Community Activity | Low |
| Sentiment | Mixed |
| GPU Required | No |
| Confidence | Medium |
| Research Date | 2026-03-24 |
| LLM Providers | Anthropic (Claude Opus), OpenAI (GPT-4o), Groq (Llama 3 70B), Ollama, DeepSeek |
| API Keys Required | LLM provider API key |
Use Cases
- Local AI pair programming
- Code editing and debugging
- Task planning and execution
- Automated code testing
Similar Tools
When to Use
Best for: Lightweight local AI pair programming
Avoid when: Need actively maintained tool or advanced features
Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260324