ai-dememory is an open-source toolchain and MCP server that enables AI agents to store, manage, and retrieve memory locally across multiple large language models. Below are 28 autonomous agents & workflows apps with similar functionality to ai-dememory, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
devmemory-ai is an open-source persistent MCP server designed to provide cross-tool coding context and developer memory. It enables developers to maintain context across different tools and sessions, improving productivity and workflow integration.
getmem-ai is an open-source persistent memory API designed for AI agents and LLM-based applications. It allows developers to store, retrieve, and manage contextual memory, supporting advanced agent workflows and retrieval-augmented generation (RAG). Ideal for AI developers building context-aware systems.
mempalace-ai is an open-source CLI tool that adds memory and retrieval capabilities to AI agents. It mines projects and conversations into a searchable database, supporting vector-based retrieval without requiring an API key.
supermem is an open-source command-line tool that provides persistent AI memory using a four-tier retrieval system, integrating SQLite FTS5, graph, vector, and LLM agent layers. It is designed for AI developers and researchers seeking advanced memory and retrieval capabilities for language models.
hmc-memory is an open-source memory engine for AI agents, offering features like emotion state management, context guard, DNA-protected memories, and multi-agent mesh. It supports advanced learning and reasoning for developers building autonomous AI systems.
AutoMem is an open-source infrastructure tool that provides persistent memory for AI agents via MCP and HTTP interfaces. It supports both local and cloud deployments, enabling agents to store and recall structured and semantic data efficiently.
AgentMem is a universal memory layer for AI agents, offering persistent, searchable, and synced context across frameworks like LangChain, CrewAI, OpenAI, and Claude. It provides an API and CLI for storing, retrieving, and syncing agent memories, helping developers build more context-aware agentic systems.
yourmemory is an open source Python package that provides persistent memory capabilities for Claude-based and MCP-native AI agents. It features semantic deduplication, Ebbinghaus forgetting curve support, and integrates with SQLite and PostgreSQL. Designed for developers building advanced AI agent workflows.
memorylaier is an open-source Python SDK that provides persistent memory infrastructure for AI agents. It enables developers to efficiently store, manage, and retrieve agent memory, supporting advanced AI workflows. The SDK is designed for integration into AI systems and is available under the Apache-2.0 license.
bettermemory is an open-source, local-first memory layer for AI coding agents, offering per-hit staleness verdicts, claim-level use attribution, and episodic run-state tracking. It is MCP-native and designed for developers building autonomous AI agents.
memory-arena is an open-source CLI tool for benchmarking and evaluating up to 20 agent-memory strategies for LLMs. It provides a unified evaluator and supports advanced retrievers, helping AI researchers and developers compare memory systems effectively.
mymem0ry is an open-source personal memory system for AI coding agents, providing offline semantic search, cross-agent handoffs, and zero API key requirements. It is designed for developers building autonomous AI agents that need persistent, shareable memory.
codebase-memory-mcp is an open-source, fast code intelligence engine designed for AI coding agents. Distributed as a single static binary MCP server, it enables local analysis of codebases for agent frameworks and research. It is suitable for developers building AI-powered code tools and workflows.
ithz-mcp is an open-source library that offers local-first, deterministic project memory for AI coding agents and Model Context Protocol workflows. It is designed for developers building autonomous agent systems and coding assistants.
memanto-mcp is an open-source Model Context Protocol (MCP) server that provides persistent semantic memory for AI agents. It enables agents to store and retrieve structured knowledge, supporting advanced agent workflows and interoperability.
Memoir is an open-source infrastructure library that provides taxonomy-structured, Git-versioned memory for AI agents. It enables explainable, local-first storage with features like branching and recall by path, supporting developers building advanced AI agents and custom runtimes.
forgetful-ai is an open-source MCP server that provides persistent, semantically-searchable memory for AI agents. It enables developers to integrate long-term memory and retrieval capabilities into their agent architectures.
projectmind-mcp is an open-source local MCP server that equips AI coding assistants with persistent memory, hybrid code search, AI-generated annotations, and an AST symbol graph. It runs entirely locally, requiring no API keys, and is aimed at developers seeking privacy and advanced code intelligence features.
evermemos-mcp is an open-source Model Context Protocol (MCP) server that brings long-term memory capabilities to AI coding tools through integration with EverMemOS. It is intended for developers building or extending AI-powered development tools that require persistent context management.
personal-memory-mcp is an open-source CLI tool that runs a local MCP server to extract and store personal memory from AI chat histories. It is intended for users and developers who want to manage their AI interaction data locally and securely.
claude-mem and cmem are open-source tools that provide persistent memory and Model Context Protocol (MCP) integration for AI agents. They enable agents to retain, sync, and recall context across sessions, supporting both local and cloud deployments for developers building advanced agent frameworks.
MemMachine is an open-source memory layer designed for AI agents, allowing them to store, recall, and manage user data and preferences across sessions. It supports multi-agent and multi-session memory, helping developers build more context-aware and personalized AI assistants.
ariadne-memory is an open-source memory system for AI agents, combining FAISS vector search, FTS5 keyword search, and knowledge graph traversal. It enables fast, hybrid retrieval and cognitive retention modeling for agent applications.
agent-memory-guard is an open-source CLI tool that provides runtime defense for AI agent memory, protecting against poisoning, tool abuse, and privilege escalation. It is designed for AI security engineers and follows OWASP guidelines.
kaelis-memory is an open-source AI-native memory system designed for multi-agent architectures. It features a four-layer memory, an MCP server, and a hallucination guard to improve reliability in agent-based AI systems. The package is suitable for developers building advanced AI agents and knowledge graphs.
memosq is an open-source framework that provides persistent, cross-agent memory for AI coding assistants. It leverages semantic search and SQLite to store and retrieve contextual information, enabling more effective and context-aware AI agent collaboration.
Memoryport is an open-source, local-first CLI tool that provides persistent memory for AI conversations across multiple tools and LLMs. It stores conversation context locally, offers optional encrypted backup to Arweave, and integrates with various AI platforms, ensuring privacy and continuity for advanced AI users.
MemData is a decentralized memory infrastructure for autonomous AI agents, offering semantic memory and context retrieval via API and CLI. It supports file ingestion, OCR, and persistent storage, enabling agents and developers to access and query long-term memory for enhanced contextual understanding.
