fauxpilot
by Community
FauxPilot - an open-source alternative to GitHub Copilot server
OSS
fauxpilot
Added 1 June 2026
Overview
FauxPilot is an open-source server that replicates GitHub Copilot's API surface, allowing you to run code completion locally using open models. It handles code suggestion requests and integrates with standard Copilot clients by mimicking the same endpoints.
Best for
Best for
Developers who need Copilot-like completion on private code or want to avoid cloud-based code submission
Use cases
- Running code completion on private infrastructure without sending code to external services
- Testing Copilot-compatible integrations against a self-hosted backend
- Experimenting with open models as a Copilot alternative in your IDE
Notes
FauxPilot is an open-source server that replicates GitHub Copilot’s API surface, allowing you to run code completion locally using open models. It handles code suggestion requests and integrates with standard Copilot clients by mimicking the same endpoints.
14,733 stars on GitHub. Last updated 2024-04-09. Licensed MIT.
Use cases
- Running code completion on private infrastructure without sending code to external services
- Testing Copilot-compatible integrations against a self-hosted backend
- Experimenting with open models as a Copilot alternative in your IDE
Pros
- Fully open-source with no vendor lock-in
- API-compatible with existing Copilot clients and tooling
- Runs entirely on your own hardware and network
Cons
- Requires managing your own model weights and inference infrastructure
- Community-maintained with no commercial support or SLA
- Code completion quality depends on the underlying model you choose to run
Indexed from awesome-llmops and enriched against its public facts.
Pros
- Fully open-source with no vendor lock-in
- API-compatible with existing Copilot clients and tooling
- Runs entirely on your own hardware and network
Cons
- Requires managing your own model weights and inference infrastructure
- Community-maintained with no commercial support or SLA
- Code completion quality depends on the underlying model you choose to run
Pairs with
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