serena vs tokensave
The IDE for your coding agent: an MCP toolkit giving symbol-level retrieval, editing, refactoring and debugging over real language servers — or a JetBrains plugin backend. — versus — Code-intelligence MCP server for coding agents — a pre-indexed semantic graph (libSQL + FTS5) they query instead of grepping: symbols, callers, impact radius in one call. 100% local, 50+ languages.
Both replace grepping with a queryable code model. tokensave pre-indexes a semantic graph in libSQL and answers symbols, callers and impact radius in one call; Serena offers IDE-grade editing and refactoring on top of retrieval, not just lookup.
| serena | tokensave | |
|---|---|---|
| Stars | 28k | 582 |
| Forks | 1.9k | 57 |
| Language | Python | Rust |
| License | MIT | MIT |
| Last activity | 4 days ago | 5 days ago |
| Topics | code-intel, coding | code-intel, local |
| Curated connections | 4 | 13 |
serena — the curator's take
The default answer when an agent is flailing in a large codebase: cross-file renames, moves and reference lookups collapse from a dozen careful text edits into one atomic symbol-level call, because a real language server — not a regex — resolves the code. It bolts onto any MCP client (Claude Code, Codex, Cursor, JetBrains, Gemini CLI, Copilot CLI), and the evaluation methodology is refreshingly honest: they had agents score the tools on ~20 routine tasks and published the prompt. Two things to know: install from their Quick Start, not a plugin marketplace, because the marketplace commands are outdated and the maintainers say so; and the JetBrains backend is a paid plugin, while the free path depends on whichever LSP server your language has.
tokensave — the curator's take
Use it to stop agents burning tokens on grep/glob/read exploration: one MCP call returns the symbols, relationships and snippets a task needs, and it's local (libSQL, no cloud). Broad reach — 50+ languages, 12+ agent integrations. NOT worth it on small repos where a couple of greps suffice, and it's an index you must keep fresh (re-index on change) — a stale graph misleads the agent. 80+ tools is a lot of surface; most tasks touch a handful.