Best Agent Memory Top 20

AI coding assistant skill that turns any folder of code, docs, papers, images, or videos into a queryable knowledge graph. Works with Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot CLI, and more.

A Claude Code plugin that automatically captures coding session context, compresses it with AI, and injects relevant context back into future sessions for persistent memory.

Multi-agent swarm intelligence engine that extracts seed information from the real world, constructs a high-fidelity parallel digital world with thousands of agents, and predicts future trajectories through social evolution simulations.

Context compression layer that compresses tool outputs, logs, files, and RAG chunks before they reach the LLM, saving 60-95% of tokens while preserving answer quality. Available as library, proxy, or MCP server.

Embedchain is a universal memory layer for AI agents, enabling quick integration of diverse data sources into LLMs for context-aware AI applications.

Mem0 is a long-term memory layer for AI agents, supporting cross-session memory management and personalized context retrieval.

Context7 is Upstash's context-engineering toolkit for agents, helping applications manage long context windows, retrieval injection, and history compression.

MemPalace is an open-source AI memory system providing a persistent long-term memory layer for AI agents, with ChromaDB vector storage and MCP protocol integration.

High-performance code intelligence MCP server that indexes codebases into a persistent knowledge graph, supporting 66 languages with sub-millisecond queries and 99% fewer tokens.

A generative speech model for daily dialogue, providing AI agents with natural and fluent voice synthesis with fine-grained prosody control.

Khoj is a self-hostable AI second brain that answers questions from the web or your docs, builds custom agents, schedules automations, and performs deep research.

OpenViking is an open-source context database from Volcengine that unifies management of agent memory, resources, and skills through a filesystem paradigm, enabling hierarchical context delivery and self-evolution.

Personal AI assistant from the AgentScope team with an Agent OS architecture, three-layer memory, kernel-level sandboxing, and one instance serving DingTalk, WeChat, Telegram and more.

Graphiti is a temporal knowledge-graph engine for agent memory, helping systems continuously accumulate long-term context.

A knowledge engine for AI agent memory that builds knowledge graphs and memory layers in 6 lines of code, supporting graph databases, vector stores, and more for knowledge extraction and retrieval.

An extremely fast and scalable memory engine for the AI era. Provides a unified Memory API for AI applications with large-scale knowledge storage and efficient retrieval.

A persistent memory system for AI coding agents, designed around real-world benchmarks to preserve context across sessions.

A memory upgrade for coding agents. Provides persistent contextual memory for Claude Code, Codex, and other coding agents to improve long-task consistency.

Kotaemon is an open-source RAG-based tool for chatting with your documents, featuring a clean chat interface and support for multiple LLM and embedding model backends.

TencentDB Agent Memory delivers fully local long-term memory for AI agents via a 4-tier progressive pipeline, with zero external API dependencies, vector search, and embedding storage.