Mirix is a multi-agent personal assistant designed to track on-screen activities and answer user questions intelligently. By capturing real-time visual data and consolidating it into structured memories, Mirix transforms raw inputs into a rich knowledge base that adapts to your digital experiences.

OpenClaw-compatible MASL safety gate with public RAG packs for memory-aware AI agents


HyDRA: Hybrid Dynamic RAG Agents, An advanced, agentic AI framework that transforms Retrieval-Augmented Generation from a static pipeline into a dynamic, learning reasoning system.

Code for paper: MemQ: Integrating Q-Learning into Self-Evolving Memory Agents over Provenance DAGs

This repository introduces the Letta framework, empowering developers to build LLM-based agents with long-term, persistent memory and advanced reasoning capabilities. It leverages concepts from MemGPT to optimize context usage and enable multi-agent collaboration for real-world applications like research, HR, and task management.

Give your agent a reusable memory of web actions: learn a task once, then replay it deterministically.

Code for paper: MemQ: Integrating Q-Learning into Self-Evolving Memory Agents over Provenance DAGs

Official repository for ICM-Bench: identity-centric reasoning over long video memories. Benchmark, video generation, and evaluation code.

Reusable memory primitives for agent developers: session memory, retrieval, correction, forgetting, policies, and audit events.

A self-organizing, self-forgetting agentic memory mesh. Typed memory · mesh topology · resonance retrieval · hot/cold lanes · sleep/prune · versioned truth. Live brain: https://api.d0xeddev.com/brain · Pages: https://basednukem.github.io/NEURAL_MESH/