Open Source Supermemory Alternatives
A curated collection of the 2 best open source alternatives to Supermemory.
The best open source alternative to Supermemory is Mem0. If that doesn't suit you, we've compiled a ranked list of other open source Supermemory alternatives to help you find a suitable replacement. Other interesting open source alternative to Supermemory is Khoj.
Supermemory alternatives are mainly AI Development Platforms but may also be AI Interaction & Interfaces or Note Taking & Knowledge Management. Browse these if you want a narrower list of alternatives or looking for a specific functionality of Supermemory.
A memory layer that lets AI assistants and agents remember user preferences and past sessions instead of restarting context every conversation.
Mem0, pronounced mem-zero, gives assistants and agents a memory layer so preferences and history survive between sessions. It is aimed at customer support bots, personal assistants and autonomous systems that otherwise forget everything the moment a conversation ends.
The April 2026 algorithm changed how memories form. Extraction is a single model call that only adds, so nothing gets overwritten, and retrieval fuses semantic search, BM25 keyword matching and entity matching scored in parallel.
The pieces that matter when building on it are these.
- Multi-level memory: user, session and agent state are retained separately and adapt over time.
- Entity linking: entities are extracted, embedded and linked across memories to boost retrieval.
- Temporal reasoning: time-aware ranking picks the right dated instance for past and upcoming queries.
- Agent-generated facts: what an agent confirms is stored with the same weight as user statements.
- SDKs: Python and JavaScript packages install from pip and npm, with an optional NLP extra.
Three deployment shapes exist. A library suits prototyping, a self-hosted server starts with docker compose and issues its own API keys, and a managed cloud platform removes the operations work. Published benchmark numbers reflect that managed service, which carries optimizations the open source SDK does not include.
Personal AI app that searches your documents and the web, running on your own machine or scaling to a team deployment.
Meant to extend what one person can do, Khoj runs as a personal AI app that scales from a laptop up to a deployment serving a whole company. The gap it closes is the one between what your documents know and what the internet knows.
It talks to whichever model you point it at, local or hosted, naming llama3, qwen, gemma, mistral, gpt, claude, gemini and deepseek among them. Access is not tied to one window either: the same assistant is reachable from a browser, Obsidian, Emacs, a desktop app, a phone or WhatsApp.
The features cluster around finding, asking and automating.
- Document grounding: answers drawn from images, PDFs, Markdown, org mode, Word and Notion files.
- Semantic search: relevant documents surfaced quickly rather than by exact keyword.
- Custom agents: agents given their own knowledge, persona, chat model and tools.
- Automations: repetitive research handled on a schedule, delivering personal newsletters and notifications to your inbox.
- Generation: images created from prompts, messages played back, replies spoken aloud.
Khoj is open source and self hostable, with setup documented for running it privately on your own computer, and a hosted app is available for anyone who would rather skip installation entirely. For organizations, the project is offered as a cloud service, on premises or as a hybrid arrangement.
