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Get up and running with Kimi-K2.5, GLM-5, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.
The cognitive database. A new class of data storage. Not a vector store, not a graph DB, not a RAG wrapper. Ebbinghaus decay, Hebbian learning, and Bayesian confidence are engine-native primitives.
Security scanner for AI-generated ("vibe-coded") code. Runs SAST, DAST, and sandboxed exploit simulation across 15+ languages using 30+ tools. Catches what LLMs introduce before it ships — wit
High-performance zero-dependency L4/L7 load balancer written in Go. Single binary with Web UI, clustering, MCP/AI integration. 8.5K RPS, 39 E2E tests.
Zero-dependency Web Application Firewall in Go. Single binary. Three deployment modes. Tokenizer-based detection.
A minimal, lightweight structured data store designed for small applications, scripts and automation workflows. Built for simplicity, portability and low overhead.