Full deep dive: OpenCode Architecture Breakdown
OpenCode is an open-source (MIT) terminal-first AI coding agent built by the SST team, with 120K+ GitHub stars and 5M monthly users. It features a client/server architecture (Go + Bubble Tea TUI), native LSP error feedback loop, dual agents (Build/Plan), and support for 75+ LLM providers via Models.dev — making it the leading open-source alternative to Claude Code.
Architecture Overview
OpenCode uses a client/server design:
- Agent Server — runs locally, handles all LLM interactions, file operations, and tool execution
- TUI Client — Bubble Tea-based terminal UI that communicates with the server
- LSP Bridge — automatically feeds language server diagnostics back into the agent loop
Key Design Decisions
| Decision | Detail |
|---|---|
| Client/server split | TUI is just one client — architecture supports IDE extensions, web UI, programmatic access |
| LSP error feedback | Automatic error detection and self-correction — catches type errors, syntax errors without running compiler |
| Dual agents | Build (read/write) for development, Plan (read-only) for safe analysis |
| Models.dev integration | 75+ providers via community registry — no vendor lock-in |
| Local-only execution | All code stays on your machine — no cloud execution, privacy by default |
Why It's in Trial
OpenCode's LSP integration (the only terminal agent with native LSP error feedback) and its multi-provider model support are genuine architectural differentiators. The client/server design is forward-looking — it decouples the agent runtime from any single interface. For teams evaluating open-source alternatives to Claude Code, OpenCode is the most mature option. See the full deep dive for architecture diagrams and detailed comparisons.
Key Characteristics
| Property | Value |
|---|---|
| Company | SST / opencode-ai (community) |
| Language | Go (Bubble Tea TUI) |
| Model support | 75+ providers (Models.dev) |
| Key innovations | LSP error feedback loop, client/server architecture, dual agents |
| License | MIT (GitHub) |
| Sources | OpenCode Website, GitHub |