lazygit
A simple terminal UI for git commands that streamlines complex workflows without the overhead of heavy GUIs.
The self-hosted, open-source alternative to GitHub Copilot for air-gapped environments.
FauxPilot is a robust open-source project designed to replicate the functionality of GitHub Copilot using local or private server infrastructure. Technically, it serves as a wrapper around NVIDIA's Triton Inference Server and the FasterTransformer backend, optimized to run Salesforce's CodeGen models. By the 2026 market standards, FauxPilot has positioned itself as the premier solution for enterprise-level 'sovereign AI' development. It allows organizations to host their own code-generation engines without leaking proprietary source code to external SaaS providers. The architecture is built for performance, utilizing model quantization and multi-GPU distribution to maintain low latency even with high-parameter models like CodeGen-16B. While the AI landscape has seen a surge in cloud-based assistants, FauxPilot remains indispensable for highly regulated industries—such as defense, finance, and healthcare—where data residency and security are non-negotiable. Its API is designed to be compatible with existing Copilot plugins, enabling a seamless transition for developers who are already accustomed to the Copilot workflow but require a private, audited environment.
Uses Triton Inference Server for high-throughput model serving and efficient GPU memory management.
A simple terminal UI for git commands that streamlines complex workflows without the overhead of heavy GUIs.
The version-controlled prompt registry for professional LLM orchestration.
The Developer-First Workflow-as-Code Platform for Orchestrating Human and Machine Tasks.
A command-line task runner that eliminates the syntax debt of Make for modern software engineering.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Supports model sharding across multiple GPUs using FasterTransformer.
The server mimics the GitHub Copilot API endpoints.
Supports FP16 and INT8 quantization for reduced memory footprint.
While optimized for CodeGen, the backend can be adapted for other GPT-J style models.
Entire stack is containerized for consistent deployment across cloud providers or local servers.
Requires zero internet connection once the initial models and Docker images are pulled.
A bank cannot use GitHub Copilot due to strict regulations against sending code to external servers.
Registry Updated:2/7/2026
Developing code in remote locations or research facilities without reliable internet access.
General AI models lack knowledge of a company's internal, proprietary programming languages.