# Serena — AI Coding Tool Review & Pricing

> Serena is an MCP server and toolkit that gives AI coding agents IDE-like, symbol-level code retrieval and editing. Instead of reading files line by line or grepping, agents can look up symbols, follow references and perform cross-file refactors through language servers or a JetBrains IDE backend.

Source: https://ai.dosa.dev/tools/serena · Updated Nov 1, 2026 · Category: AI Codebase Knowledge & Generation · Published by dosa.dev

## At a glance

- **Tool**: Serena
- **Company**: Oraios AI
- **Category**: [AI Codebase Knowledge & Generation](https://ai.dosa.dev/category/codebase-ai)
- **Pricing model**: Open Source
- **Official website**: https://oraios.github.io/serena

## Key features

- Symbol-level find, reference lookup, rename, move and replace-body tools exposed over MCP
- Language-server backend supporting 40+ programming languages
- Optional paid JetBrains plugin backend that reuses the IDE's code analysis
- REPL-based code-execution agent interface introduced in v2
- Works with Claude Code, Codex, OpenCode, Gemini CLI, Cursor, VS Code and JetBrains assistants and Claude Desktop

## Pricing

**Model**: Open Source

Serena is free and open-source (GPL-3.0-or-later for the application, MIT for the bundled SolidLSP layer) when used with its default language-server backend. An optional JetBrains plugin backend is a paid add-on with a free trial; model usage is billed by whichever AI client you connect.

## Who it is for

- **Best for**: Developers running coding agents on large or multi-language codebases who want reliable semantic navigation and refactoring instead of text-based edits.
- **Not ideal for**: Small scripts or single-file projects where built-in agent file tools are sufficient, or teams that cannot install uv and language-server dependencies locally.

## Verdict

A mature, widely adopted MCP toolkit that meaningfully upgrades what coding agents can do with code structure, best suited to developers working in large codebases.

## Recent updates

Serena v2.0.0 (2026-10-13) introduced the REPL-based agent interface, and v2.1.0 (2026-10-19) restored Claude Desktop chat-mode compatibility, fixed the MCP registry manifest and added a dashboard welcome pane.

## Frequently asked questions

### Is Serena free?

Yes - Serena is Open Source. Serena is free and open-source (GPL-3.0-or-later for the application, MIT for the bundled SolidLSP layer) when used with its default language-server backend. An optional JetBrains plugin backend is a paid add-on with a free trial; model usage is billed by whichever AI client you connect.

### Is Serena open source?

Yes - Serena is open source. Serena is free and open-source (GPL-3.0-or-later for the application, MIT for the bundled SolidLSP layer) when used with its default language-server backend. An optional JetBrains plugin backend is a paid add-on with a free trial; model usage is billed by whichever AI client you connect.

### Who is Serena best for?

Developers running coding agents on large or multi-language codebases who want reliable semantic navigation and refactoring instead of text-based edits.

### Who is Serena not ideal for?

Small scripts or single-file projects where built-in agent file tools are sufficient, or teams that cannot install uv and language-server dependencies locally.

### What are the best Serena alternatives?

The closest Serena alternatives on ai.dosa.dev are Greptile, Fern, Remio - all listed under AI Codebase Knowledge & Generation.

### Who makes Serena?

Serena is developed by Oraios AI. It is listed in the AI Codebase Knowledge & Generation category on ai.dosa.dev.

## Top alternatives

- [Greptile](https://ai.dosa.dev/tools/greptile) (Freemium) — Engineering teams needing automated, context-aware code reviews that extend beyond simple syntax checks to include logic, security, and runtime validation.
- [Fern](https://ai.dosa.dev/tools/fern) (Freemium) — API-first engineering teams needing to synchronize SDK distribution with high-quality, searchable, and AI-optimized developer documentation.
- [Remio](https://ai.dosa.dev/tools/remio) (Freemium) — Knowledge workers such as consultants, researchers, product managers, and strategists who need to synthesize large volumes of internal documentation and research into finished work.
- [ContextStream](https://ai.dosa.dev/tools/contextstream) (Freemium) — Developers and teams who need AI agents to maintain consistent project context, understand architectural decisions, and avoid repeating the same mistakes across long-running projects.
- [OKF Agent Memory](https://ai.dosa.dev/tools/okf-agent-memory) (Open Source) — Software engineering teams and developers who require auditable, version-controlled persistent memory for AI agents without recurring API costs or infrastructure complexity.
- [Tseha](https://ai.dosa.dev/tools/tseha) (Freemium) — Engineering teams using MCP-compatible AI coding agents who need to enforce consistent coding standards, architectural rules, and design tokens across multiple repositories.
- Full alternatives guide: https://ai.dosa.dev/tools/serena/alternatives