ai-agent

swiftide: Accelerate LLM Indexing & Retrieval in Rust

Boost your AI product’s speed with swiftide’s streaming indexing and query engine, built for founders who need high‑performance, agentic LLM workflows.

From the repo · “Fast, streaming indexing, query, and agentic LLM applications in Rust”

795 stars+3★ this week71 forksRustGuide quality 9/10 · reviewed Oct 14Updated 10/23/2026100% free · open source
What it does

Swiftide enables fast streaming indexing and query for building AI applications in Rust, particularly for agentic LLM applications

When to use it
  • •When you need to index and query large datasets in real-time for your Rust-based AI application
  • •When building agentic LLM applications that require efficient data processing and querying
  • •When you want to leverage the performance benefits of Rust for your AI application's data indexing and querying needs
Ready-to-paste prompt
cargo run --example swiftide_example -- --query 'SELECT * FROM my_index'
Heads up: Make sure you have the latest version of Rust installed (at least 1.64) and that you have the necessary dependencies, such as the `rusqlite` crate, which is required for Swiftide to function properly
Saves to your device
Use with Claude
New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

🛠️ Technical setup

Expect 20–40 minutes in a terminal — or let your AI agent drive it.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/swiftide && curl -fsSL https://workflowstacks.com/api/skills/swiftide/claude-skill -o ~/.claude/skills/swiftide/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How swiftide: Accelerate LLM Indexing & Retrieval in Rust works
Codeflow
Free to inspect

Swiftide: Accelerate LLM Indexing & Retrieval in Rust is a large Rust project (~48k lines across 265 code files, plus 35 test files). It is a full software project: use it through its install path rather than reading it end to end. Last commit this month, MIT license, has a test suite.

Size
Large codebase
~48k lines · 265 code files · ~7 h to skim
Setup
Developer setup
A real software project. Use it via its install path; don't expect to read it all.
Runs on
Rust
No API keys detected
Rust 100%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    AGENTS.md
    The instructions the AI actually follows
  3. 3
    Cargo.toml
    Dependencies and the commands it exposes
  4. 4
    swiftide/README.md
    Inside swiftide/ — the main logic begins here
  5. 5
    examples/Cargo.toml
    A worked example — copy this to get going
What's in each folder
swiftide/Core code — the actual logic11 files
examples/Examples you can copy36 files
swiftide-langfuse/Folder47 files
swiftide-core/Folder38 files
swiftide-tasks/Folder36 files
swiftide-macros/Folder31 files
swiftide-indexing/Folder27 files
READMEHas testsDocumentedCI checksExamples includedMIT licenseUpdated this month
Quick Actions
Details
Creator
bosun-ai
Language
Rust
Category
ai-agent
Published
6/9/2024

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Featured on WorkflowStacks
[![Featured on WorkflowStacks](https://workflowstacks.com/api/badge/swiftide.svg)](https://workflowstacks.com/skills/swiftide?utm_source=github&utm_medium=badge)
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