Agent Memory

MaxKB is an open-source knowledge base Q&A and agent building platform powered by LLMs, with vector retrieval, workflow orchestration, and multi-model support out of the box.

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.

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 high-performance graph database built on GraphBLAS, optimized for LLM and GraphRAG scenarios with real-time knowledge graph construction and querying for graph-structured AI agent retrieval.

Engram is a persistent memory system for AI coding agents. Agent-agnostic Go binary with SQLite + FTS5, MCP server, HTTP API, CLI, and TUI interfaces.

An open-source graph-vector database built from scratch in Rust, combining graph database and vector retrieval capabilities to provide AI agents with unified storage for both knowledge graphs and semantic search.

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.

MemOS is a Memory Operating System for LLMs and AI agents that unifies store, retrieve, and manage for long-term memory, with built-in KB, multi-modal, and tool memory support.

Agent-native memory infrastructure that turns agent execution and conversation into structured, persistent state with an LLM-agnostic memory layer, MCP integration, and Python/TypeScript dual SDK support.

A multi-agent personal assistant that captures real-time on-screen activities and consolidates them into structured memories, building a knowledge base that adapts to your digital experiences.

A memory system for 24/7 proactive agents with MCP protocol integration, providing long-term memory management, skill storage, and proactive reasoning capabilities for continuously running AI agents.

NeurIPS 2024 RAG framework inspired by human long-term memory, combining knowledge graphs with personalized PageRank for continuous knowledge integration in LLMs.

A general memory system for AI agents powered by deep research, providing a flexible memory architecture that supports unified management and retrieval of multiple memory types including short-term, long-term, and episodic memory.

An agentic memory system for LLM agents inspired by human memory mechanisms, enabling dynamic memory generation, retrieval, and consolidation with automatic memory evolution and self-organization.

ByteRover CLI provides persistent structured memory for autonomous coding agents. It features context tree management, git-like version control, and cloud sync, compatible with Cursor, Claude Code, Windsurf, and 22+ coding agents via MCP integration.

Open-source persistent memory service for AI agents, supporting LangGraph, CrewAI, and AutoGen with REST API, knowledge graph, and autonomous memory consolidation.

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

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

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

Zep is an AI agent memory management platform providing long-term memory, context management, and conversation history understanding through knowledge graph technology.

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.

An open-source embedded retrieval library for multimodal AI with zero server configuration, using the Lance columnar format for efficient vector search and filtering, ideal for agent memory and RAG applications.

LangMem is LangChain's memory layer for agents, helping developers add long-term memory, replay summaries, and context management to improve multi-turn performance.

Mem0 TS is the TypeScript version of Mem0, offering long-term memory management, preference extraction, and context compression for agent applications built in JS/TS stacks.

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

MemVid is a long-term memory layer for AI agents that uses video encoding for lightweight single-file storage, replacing complex RAG pipelines with instant retrieval.

Open-source vector similarity search extension for PostgreSQL, enabling native vector storage and ANN retrieval in relational databases, a foundational component for building agent memory and RAG systems.

Official Redis agent memory server providing fast and flexible persistent memory for AI agents and applications, with context management and session memory support.

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.

A graph-native context development platform for storing, enriching, and retrieving structured knowledge with semantic search and portable context cores, supporting RDF, SPARQL, and other standards for AI agent knowledge management.

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

Hindsight is an agent memory system that learns autonomously, supporting memory retention, recall, and reflection to give AI agents persistent experiential memory.

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.