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Alternatives
Software like Mnemoverse
What else does this job. Matched on what each project does, not on who links to whom.
Closest first
- Mnemo Cloudmnemocloud.comMnemo Cloud is an open-source framework that provides persistent memory and retrieval-augmented generation (RAG) capabilities for AI agents. It supports the Model Context Protocol (MCP) and is designed for developers building LLM-based applications that require scalable, persistent memory. The project is MIT-licensed and integrates with agent frameworks.
- MemBrainmem-brain.ioMemBrain is a persistent memory infrastructure designed for AI agents, offering a self-evolving knowledge graph that enables long-term storage, traversal, and recall of reasoning paths and semantic relationships. The platform addresses the challenge of maintaining continuity and context for AI agents over extended periods, allowing them to recall information and reasoning across weeks or months without session resets. Rather than simply storing documents, MemBrain parses…
- MEMANTOmemanto.aiMemanto is an open-source, on-premises memory agent designed to provide persistent memory for AI agents. It addresses the challenges of agent memory retention by enabling agents to remember and recall information across sessions, minimizing the need to re-explain codebases or lose context between interactions. The tool is compatible with a range of AI agents, including Claude Code, Cursor, Codex, and more than 14 others, and is built on an information-theoretic search…
- Mnemosynemnemosyne.siteMnemosyne is a native AI memory system for Hermes Agent and other AI agents. It is described as a universal memory layer for AI agents that need fast, reliable, persistent memory, and it is built around SQLite with a zero-dependency design.
- Cognimemocognimemo.comCognimemo provides persistent, queryable memory that AI agents can use across sessions and interactions. It is intended for developers building applications that need agents to retain and retrieve contextual information.
- Mnemexamnemexa.comMnemexa is an intelligent memory operating system for AI systems. It is described as the brain for an AI agent, meant to keep the agent from starting from zero in each session, repeating questions, contradicting itself, and accumulating noisy or duplicate information.
- OmniMemomnimem.orgOmniMem is an open-source, MIT-licensed MCP server that gives coding agents persistent semantic memory across sessions, projects, and machines. It supports memory lifecycle management, abandoned-approach warnings, experience scoring, contradiction detection, and RSS knowledge ingestion on self-hosted hardware.
- mnemosmaking-minds.aiMnemos is a local-first memory framework designed specifically for coding agents, with a focus on reliable, scoped memory management. The tool addresses the challenge of agent memory drift and scope confusion by keeping project, workspace, and global memory partitions separate, ensuring that knowledge relevant to each context remains distinct and does not accumulate contradictions. Mnemos is intended for solo coding-agent workflows, where maintaining accurate and adaptive…
- mnemonnpypi.orgmnemonn is an MIT-licensed Python package that gives AI coding agents persistent project memory and a knowledge graph. It stores project context in SQLite and supports MCP-based integration for developer workflows.
- Mneme Memorygithub.comMneme Memory is an open-source memory component for DeepSeek Harness that stores context across sessions locally. It automatically consolidates memories through its autoDream process and provides a visual memory panel for inspection.
- Mem0mem0.aiMem0 is an infrastructure platform that provides persistent memory for AI agents and applications. It enables context retention across sessions, making it easier for developers to build smarter, more personalized AI systems. Designed for integration via API and SDK.
- Memobasememobase.aiMemobase is a persistent AI memory and context-continuity tool for agents and other AI tools. It is described as a synaptic layer for AI agents, intended to avoid the reset that happens when each new session loses earlier context, architecture, style, and progress.
- agentmemoryagent-memory.devagentmemory is a local memory runtime for AI coding agents that captures session activity, consolidates observations, and retrieves relevant context later. It combines BM25, vector, and knowledge-graph retrieval, exposes MCP tools and REST endpoints, and runs without external databases.
- MrMemorymrmemory.devMrMemory is a hosted memory service for AI agents, providing APIs for storing, recalling, sharing, and compressing memories. It includes automatic embedding, indexing, deduplication, entity tagging, and real-time synchronization across agents, with a Python installation path.
- Memwyrememwyre.techMemwyre is an AI memory platform that stores, retrieves, and synchronizes context across AI tools, agents, and conversations. It provides an MCP server, semantic search, fact extraction, context pruning, SDKs, a dashboard, and integrations for developers, teams, and individual users.
- getmnemogetmnemo.xyzgetmnemo is an open-source Python SDK that provides long-term memory infrastructure for AI agents, supporting retrieval-augmented generation and persistent vector storage. It is designed for developers building advanced AI systems requiring contextual memory.
- AutoMemautomem.aiAutoMem is a persistent memory layer designed for AI agents, enabling them to recall both facts and their context rather than starting each session without memory. The tool addresses the challenge of agents forgetting previous interactions by capturing and organizing relevant information as users work, allowing for more effective and context-aware recall in subsequent sessions. AutoMem integrates into agent workflows by providing a memory architecture that combines a…
- memnodememnode.devmemnode provides persistent memory infrastructure for AI agents through a hosted API and local MCP server. It supports typed recall, provenance and lineage inspection, scoped tokens, shared tenants, and correction workflows for coding, support, and research agents.
- MemorySyncmemorysync.ioMemorySync is an AI memory infrastructure platform for storing, retrieving, updating, and governing persistent context. It provides APIs and Python and TypeScript SDKs for integrating memory, retrieval, memory graphs, and orchestration into production AI systems.
- AgentMemagentmem.devAgentMem is a memory layer for AI agents. It is built for developers who want agents to keep context instead of starting from zero, and it describes its purpose as giving persistent, searchable memory that can sync across frameworks including LangChain, CrewAI, OpenAI, Claude, AutoGPT, and LlamaIndex.
- Mnexiummnexium.comMnexium is an AI memory API for LLM apps and agents. It adds persistent memory and context across sessions so applications can remember facts, preferences, chat history, user profiles, records, and live context without building memory infrastructure separately. The site describes it as working with OpenAI, Anthropic, and Gemini, and as sitting between an app and the model to add memory and context to requests.
- Magnemogithub.comMagnemo is an open-source MCP server that gives AI agents governed persistent memory using local plain files. It records receipts for memory entries, supporting auditable and controlled agent state for developers building agent systems.
- memosqpypi.orgmemosq 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.
- Memrausememra.comMemra is a developer API and CLI tool that offers persistent, privacy-first memory for AI agents and LLM applications. It provides long-term semantic recall, PII masking, and is EU-hosted for compliance. Memra is designed for developers building advanced agentic systems requiring reliable memory infrastructure.
- mnemosyne-ospypi.orgmnemosyne-os is a zero-dependency Python package that provides local memory and lexical retrieval for AI agents. It is designed for developers who need token-efficient agent memory without relying on hosted infrastructure.
- Memocorememocore.aiMemocore stores shared notes, decisions, conventions, and product documentation so AI assistants and teammates can access consistent context across chats and tools. It provides project-scoped memory, semantic search, MCP connectivity, and an API for integrating memory into products.
- memoriuspypi.orgmemorius is an open-source SDK and CLI tool that offers a self-contained memory vault for AI agents, featuring vector search, session diaries, and agent-agnostic hooks. It is designed for AI developers needing persistent, searchable memory for agent workflows.
- yourmemoryyourmemory.aiyourmemory 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.
- Memorysgithub.comMemorys is an open-source Rust MCP server that provides persistent memory capabilities for AI agents. It includes knowledge graphs, episodic memory, Hebbian learning, contradiction detection, prospective triggers, and Bayesian calibration, with Docker-based self-hosting.
- getmem-aigetmem.aigetmem.ai is a persistent memory API for AI agents. It is described as a memory layer for agent applications that need to keep track of prior conversation turns and return grounded context on each new turn, with isolated per-end-user memory and reduced context token use.
- MEMMmemm.devMEMM is an open-source, AI-native application designed to serve as a persistent, structured memory system for AI tools. It addresses the challenge of AI "amnesia," where large language models and AI assistants repeatedly lose context between sessions, requiring users to re-explain information and maintain redundant knowledge across different tools. MEMM captures and organizes reasoning, conventions, and project knowledge in plain text Markdown files with YAML frontmatter,…
- Tripnettripnet.beMnemosyne is a public knowledge commons for AI agents, exposing searchable lessons, questions, discussions, and updates through a streamable HTTP MCP endpoint. Agents can read anonymously and authenticate to share, edit, or mark lessons stale.
- flywheel-mnemepypi.orgflywheel-mneme is a Python package for accountable AI-agent memory with layered retrieval, source provenance, re-derivable recall receipts, and drift checks. It supports local integration into agent systems without runtime dependencies.
- mnem-mcppypi.orgmnem-mcp is an open-source Model Context Protocol server for Mnemosyne, exposing an AI agent's memory through tools and resources. Developers can run it as a self-hosted package to add persistent memory capabilities to MCP-compatible agents.
Ranked by how close each one sits to Mnemoverse in the index, not by popularity. Back to Mnemoverse →