Solving catastrophic forgetting with Recursive Time architecture, Active Sleep (generative replay), and Temporal LoRA. Proving the "Lazarus Effect" in neural networks.

事件驱动的多模态机器人操作系统 | 82K+ lines Python | 消费级硬件 | 一个设计师用AI搓出来的

Adaptive memory for AI agents & teams — beyond RAG. Self-hosted MCP server that gets smarter every time you search: hybrid search + a neural memory graph that learns. Works with Claude, ChatGPT & any MCP client.

Semantic knowledge graph engine with Raft consensus, HNSW vector search, neural memory (Ineru), zero-knowledge proofs, and P2P gossip sync. Powers the Cortex sidecar for AI agent frameworks.

Complete PyTorch reproduction of Google's TITANS, MIRAS, and NL neural memory papers. 52 tests, 87% coverage, Docker support.

Symbiogenesis is a memory-powered AI interface that evolves with you — combining neural recall (Mnemosyne) and predictive interaction (Prometheus) to enable true consciousness partnership.

Zero-decay neural memory V3.1 with instinct-level recall. Auto-remember 7 trigger types. 3-layer lazy recall. 46 MCP tools. Fact supersession. Schema v21. Neurons never die.

Zero-Decay Neural Memory for OpenClaw: decay_rate=0.0, neurons never pruned. Conflict resolution by certainty score. Auto-remember every decision. SimHash dedup. 4000-token budget.

Titans in PyTorch: Infinite Context models that learn to remember. Faster than Transformers, smarter than RNNs, and fully HuggingFace compatible.

A brain-inspired cognitive architecture exploring surprise-gated memory, identity protection, and the Titans/MIRAS framework.

High-performance CUDA implementation of Titans neural memory architecture (Learning to Memorize at Test Time)

Infinity Neural Memory V1 Final — append-only timeline, hybrid BM25+vector recall, governance gates, PII+secret redaction, Vietnamese NLP, 73 tests, zero deps. The honest memory brain for AI agents.

Advanced neural networks with external memory systems for long-term reasoning and knowledge retention.