Machine Learning Systems: Foundations, Scaling, Agentic AI, and Physical AI (Vols I–IV) • Harvard CS249r | https://mlsysbook.ai
- artificial-intelligence
- cloud-ml
- computer-systems
- courseware
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📊 Cube Core is open-source semantic layer for AI, BI and embedded analytics
Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and long-term memory.
A lightweight, lightning-fast, in-process vector database
⛓️RuleGo is a lightweight, high-performance, embedded, next-generation component orchestration rule engine framework for Go.
- go
- rule-engine
- edge-computing
- iot
Build AI agents that run 100% on-device. Sub-100ms latency on Qualcomm NPU. Zero cloud dependency.
- agent-framework
- ai-agent
- automotive
- edge-ai
Hardware testing for the software world. Real or virtual, local or remote, human, automated or agentic.
- hardware
- hardware-in-the-loop
- hil
- testing-framework
The 30 MB open-source edge AI agent runtime. Run AI agents offline on Linux (Raspberry Pi, Jetson). GPIO, UART, MQTT as first-class nodes. Industrial protocols (OPC-UA, Modbus) on the roadmap.
- ai-agents
- edge-agents
- edge-ai
- edge-computing
Multi-agent orchestration & workflow engine. Declarative YAML workflows, LLM coordinator with hub-and-spoke mailboxes, race-safe delivery. One YAML file, one Go binary. Runs on any goai-supported provider.
Embedded single file SQL database written in Golang
A structured, AI-assisted toolkit for defining hardware products that have software inside — from concept through engineering spec to presentation-ready materials in eight phases.