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Overview

Self-hosted AI coding assistant written in Rust that runs on your infrastructure. Provides code completion and generation without sending code to external services. Integrates with IDEs via language server protocol.

Best for

Best for
Teams prioritizing data privacy and control over ease of deployment

Use cases

• Private code completion for teams with data sensitivity requirements
• Local inference to avoid cloud API costs at scale
• Offline development environments without external connectivity

Notes

Self-hosted AI coding assistant written in Rust that runs on your infrastructure. Provides code completion and generation without sending code to external services. Integrates with IDEs via language server protocol.

33,554 stars on GitHub. Last updated 2026-03-02.

Use cases

• Private code completion for teams with data sensitivity requirements
• Local inference to avoid cloud API costs at scale
• Offline development environments without external connectivity

Pros

• Runs entirely on your hardware, no data leaves your infrastructure
• Written in Rust for performance and memory efficiency
• Open source with active community (33k+ stars)

Cons

• Requires managing your own compute resources and model deployment
• Smaller ecosystem and fewer integrations compared to cloud alternatives
• Performance depends on local hardware specifications

Indexed from awesome-llmops and enriched against its public facts.