Ruv Swarm vs Local RAG (shinpr)
Two MCP servers from our AI & ML ranking, compared on live data - updated nightly, never sponsored.
Bottom line · 2026-08-25
monthly package install counts are comparable (20,015 vs 13,923); both are actively maintained, with commits inside the last month.
How they differ in kind
Ruv Swarm focuses on: What if intelligence could be ephemeral, composable, and surgically precise. Local RAG (shinpr) focuses on: Search private documents from an MCP client or the terminal without sending them to an embedding API. Environment-variable extraction: Ruv Swarm yielded no variables extracted; Local RAG (shinpr) yielded 3 variables. Implementation languages differ (Rust vs TypeScript).
What each one does
Ruv Swarm
What if intelligence could be ephemeral, composable, and surgically precise? Welcome to ruv-FANN, a comprehensive neural intelligence framework that reimagines how we build, deploy, and orchestrate artificial intelligence. This repository contains three groundbreaking projects that work together to deliver unprecedented performance in neural computing, forecasting, and multi-agent orchestration.
From the project's README.
Local RAG (shinpr)
Search private documents from an MCP client or the terminal without sending them to an embedding API. It runs locally over stdio via the published package.
From the project's README.
14 signals, side by side
| Signal | Ruv Swarm | Local RAG (shinpr) |
|---|---|---|
| Monthly installs | 20,015 | 13,923 |
| GitHub stars | 378 | 371 |
| Last commit | 2026-08-09 | 2026-08-23 |
| Releases · last 90 days | 0 | 10+ |
| In the registry since | Sep 2025 | Oct 2025 |
| Registry versions | 2 | 47 |
| Documented tools | not extracted - see README | not extracted - see README |
| Env vars extracted | none extracted - see README | 3 |
| Runs | local (stdio) | local (stdio) |
| Endpoint auth | local only | local only |
| Maintenance | actively maintained | actively maintained |
| License | MIT | MIT |
| Language | Rust | TypeScript |
| Category rank | #4 of 95 | #1 of 95 |
Environment variables found in the READMEs
These are extracted names, not a requiredness check. Project docs may mark them optional or require other setup.
Ruv Swarm
No environment variables were extracted from the README setup. Check the project documentation for other authentication or configuration steps.
Local RAG (shinpr)
- BASE_DIR
- RAG_HYBRID_WEIGHT
- BASE_DIRS
Which one, for what
Derived from the signals above, not hands-on testing.
Pick Ruv Swarm if…
- → you prefer a Rust codebase to extend or audit
- → measured package adoption matters - 20,015 monthly installs
Pick Local RAG (shinpr) if…
- → release velocity matters - 10+ releases in 90 days vs 0
- → you prefer a TypeScript codebase to extend or audit
Who's behind them
Ruv Swarm - ruvnet: 3 MCP servers tracked, 3 maintained, 69,787 combined stars. Full record.
Local RAG (shinpr) - shinpr: 3 MCP servers tracked, 3 maintained, 622 combined stars. Full record.
Not sold on either?
The next-ranked AI & ML servers we track:
Quick answers
Is Ruv Swarm better than Local RAG (shinpr)?
The numbers don't separate them: 20,015 vs 13,923 monthly installs, and both committed within the last month. Choose on fit - execution model, extracted environment variables, endpoint authentication, and license are in the table above. Data as of 2026-08-25.
Can I use Ruv Swarm and Local RAG (shinpr) together?
Yes - MCP clients accept multiple servers in one config, so you can enable both AI & ML servers side by side. If their tools overlap, keep the one whose toolset fits to keep your agent's tool list lean.
What environment variables do their READMEs document?
Ruv Swarm: no environment variables extracted from the README setup; Local RAG (shinpr): 3 environment variables extracted from the README setup. Extraction does not rule out other authentication or configuration steps; check each project's current documentation.
Keep exploring: best AI & ML servers · Rust servers · TypeScript servers · all comparisons · every server
Methodology: package-usage signal = npm/PyPI installs (last month, platform APIs) · maintenance = commit recency + release cadence (GitHub) · tool lists and environment-variable names extracted from each project's README · endpoint auth from our own nightly probes. We haven't hand-tested these servers; everything here is data as of 2026-08-25.