Mem0
✨A universal memory layer for AI Agents providing multi-level personalized long-term memory extraction, storage, and fused retrieval.
A universal memory layer for AI Agents providing multi-level personalized long-term memory extraction, storage, and fused retrieval.
A local-first agentic framework acting as a personal operating system, leveraging file intelligence, event-driven workflow automation, and LLMs for cross-modal task execution and multi-platform interaction.
Persistent memory engine for AI coding agents featuring auto-capture hooks, triple-stream hybrid retrieval, and 4-tier memory consolidation to eliminate re-explanation across sessions.
A high-performance in-memory graph database for GraphRAG and real-time graph analytics, featuring built-in vector indexes and the MAGE algorithm library.
Open-source, local-first conversation memory infrastructure that transcribes meetings and voice memos into structured Markdown, queryable by humans and AI agents.
A Temporal Context Graph construction and query framework for AI Agents, providing incremental memory evolution with time-windowed facts and hybrid retrieval capabilities.
A local-first knowledge compiler for AI agents, built on the LLM Wiki pattern, compiling raw materials into persistent markdown wikis, knowledge graphs, and hybrid search engines.
An MCP server that optimizes context windows for AI coding agents through sandboxed execution, session persistence, and output compression — reducing context consumption by up to 98%.
AI memory for your screen. Turns your computer into a personal AI by continuously recording screen and audio to build a searchable, local AI memory system.
Production-Ready RAG with Structure-Aware Reasoning, supporting pixel-precise citations and knowledge graph multi-hop reasoning.
Page 1 / 13 · 129 total
Get the latest AI tools and trends delivered straight to your inbox. No spam, just intelligence.