Showing 1-14 of 14 projects
Mem0 is an AI memory layer for agents, enabling personalized interactions with features like multi-level memory and fast, accurate responses.
Build multi-agent systems that learn and improve over time
Letta is a platform for building stateful AI agents with advanced memory and self-improvement capabilities.
Context database for AI agents managing memory, resources, and skills via filesystem abstraction
Universal memory layer for AI agents, enabling scalable persistent state management and retrieval for autonomous systems.
Run Claude AI agents on ultra-low-power chips with local-first memory and privacy.
TypeScript wrapper for Claude API with character roleplay & conversation memory system
Memory-first AI coding agent that autonomously writes code with persistent context and recall
Memory management framework for AI agents with RAG, persistence, and context refinement capabilities.
Curated paper list on AI agent memory systems, architectures, and knowledge management techniques.
Multi-agent AI system with async workflows, memory networks, plugins, WebSocket/WebDAV, distributed deployment
Self-evolving AI agent framework using Genome Evolution Protocol for autonomous agent improvement
Memory plugin for OpenClaw agents with hybrid vector+BM25 retrieval, cross-encoder reranking, and multi-scope isolation.
Memory operating system for personalized AI agents with long-term memory and retrieval capabilities
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