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- api
- api-client
- api-rest
- pwa
Repository Index
47,133 repositories indexed
1–13 of 13 · Most stars
Complete API layer for private AI applications on local models: RAG, skills, tools, MCP, text-to-sql, and more. Works with any OpenAI-compatible inference server.
Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems. Built for enterprise, Memori works with the data infrastructure you already run, no rip-and-replace, and deploys across managed cloud, single-tenant cloud, VPC, and on-premises.
Kimai is the #1 open-source time-tracking application. From freelancers to companies and organisations - everyone can manage timesheets, generate reports, create invoices and so much more... Web-based multi-user application, available as On-Premise or SaaS version: https://www.kimai.org
- timetracker
- timetracking
- doctrine
- twig
Build AI (or any) apps with scalable microservices & microfrontends.
- paas
- microservices
- ai
- on-premise
The gold standard for async .NET microservices on Azure, AWS and on-prem
- nservicebus
- c-sharp
- distributed-systems
- messaging
Sync-in · Sovereign platform for file storage, sharing, synchronization, and collaboration.
- self-hosted
- cloud-alternative
- collaboration
- collaborative-editing
DreamFactory is a secure, self-hosted enterprise data access platform that provides governed API access to any data source, connecting enterprise applications and on-prem LLMs with role-based access and identity passthrough.
- dreamfactory
- laravel
- framework
- php
SoapUI is a free and open source cross-platform functional testing solution for APIs and web services.
- open-source
- on-prem
- soapui-oss
On-prem file sharing made simple, fast and safe.
- file-sharing
- golang
- self-hosted
- storj
Browser automation solution for Kubernetes and Openshift supporting Selenium, Playwright, Puppeteer and Cypress
- selenium
- selenium-webdriver
- kubernetes
- selenium-grid
Kubernetes operator for self-hosted LLM inference across a heterogeneous GPU fleet: NVIDIA CUDA, AMD Vulkan, and Apple Silicon Metal. Runtimes: llama.cpp, vLLM, TGI, mlx-server. Multi-GPU sharding, model caching, OpenAI-compatible endpoints. Apache-2.0, run across homelab and on-prem fleets, actively developed.
Friendly utility to load your on-prem data, whether large or small, to Einstein Analytics Datasets, with useful features such as autoloading, dataflow control and dataset inspection.