☁️ Build multimodal AI applications with cloud-native stack
- neural-search
- cloud-native
- deep-learning
- machine-learning
83,087 visible repositories in the index
1–12 of 12 · Most stars
☁️ Build multimodal AI applications with cloud-native stack
High-performance AI pipeline engine with a C++ core and 50+ Python-extensible nodes. Build, debug, and scale LLM workflows with 13+ model providers, 8+ vector databases, and agent orchestration, all from your IDE. Includes VS Code extension, TypeScript/Python SDKs, and Docker deployment.
BISHENG is an open-source enterprise Agent platform for building, deploying, and managing AI applications. It combines AI agents, workflows, RAG and knowledge management, desktop agent integration, and vibecoding app hosting with unified model management, evaluation, observability, access control, and enterprise administration.
Bindu: The identity, communication, and payments layer for AI agents.
Open-Source Unified Vulnerability Management, DevSecOps & ASPM
Zero-modification Human-in-the-Loop adapter for OpenOPC's agentic DAG runtime.
Production-grade multi-agent orchestration platform - JSON-defined agents, multi-tier memory, and built-in observability. Battle-tested on 200+ enterprise AI agents. Now fully open-sourced (prod at https://kiwiq.ai).
Database-Backed Durable Python Workflows
Build agentic systems. Run them with confidence. Orchestrate agents, automate business processes, inspect every execution, and keep humans in control. Deploy Heym on your own infrastructure.
An application for automated Docker container updates with a web UI
ARES - authorized red-team engagement automation with dashboard, campaign scope, module orchestration, OPSEC controls, encrypted vault, and reporting.
🎲 Dotflow turns an idea into flow! — Lightweight Python library for execution pipelines