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NVIDIA / auto-ontology

Auto Ontology is a Python framework for building semantic, graph-based reasoning layers over data. It enables deterministic query generation, better context retrieval, and more explainable AI for LLM and agent workflows.

▲ ~8.7k/7d ★ 9.3k Python 🔥 today
mem0ai / mem0

The Memory Layer for AI Agents - Drop-in memory infrastructure for AI agents and apps. Context that persists. Built for production.

▲ ~412/7d ★ 69k Python today
MemoriLabs / Memori

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.

▲ ~211/7d ★ 17k Python 1mo ago
DemonDamon / AgenticX

AgenticX is a unified, production-ready multi-agent platform — Python SDK + CLI (agx) + Studio server + Machi desktop app. Features Meta-Agent orchestration, 15+ LLM providers, MCP Hub, hierarchical memory, avatar & group chat, skill ecosystem, safety sandbox, and IM gateway (Feishu/WeChat).

▲ ~176/7d ★ 1.0k Python today
didi / helixharness

HelixHarness 提供完整的 AI Coding 工程化基础能力,还支持不同企业和团队结合自身的业务知识、工程规范和研发流程,持续构建和演进属于自己的专属 Harness

▲ 129/7d ★ 327 Python 3d ago
NVIDIA-NeMo / Speech

A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

▲ ~53/7d ★ 19k Python today
ideapacket / voxwright

Offline voice-agent application layer: session core with byte-deterministic replay, spoken-LLM adapters (scripted/replay/loopback-mock), injection-safe function-call grammar, slot grounding, workflow engine with compensation and resume, permissioned tool sandbox, repair-dialog policies, task-success and latency evaluation. NumPy core, torch extra.