8 Supermemory Alternatives for Developers and Individuals
Mem0, Zep, Letta and Cognee for builders; Unabyss, MemoryPlugin and Basic Memory for people who just use AI.
The best Supermemory alternative depends on which side of it you're on: builders adding long-term memory to AI apps need another memory API or open-source memory layer, and people who live in Claude, ChatGPT and Cursor need an AI memory tool that works across them with no code. Supermemory straddles both, as memory infrastructure for developers that also ships an MCP server and a browser extension individuals install.
Eight options below, split that way, with prices checked on each vendor's site in October 2026.
Why look for a Supermemory alternative?
Most people leave Supermemory for one of four reasons: they're on the wrong side of the builder/user line, they want a different memory model, they want to self host, or the pricing model doesn't fit how they work.
- You're a user, not a builder. Supermemory is an API with SDKs, spaces and a credit balance. If all you want is for Claude and Cursor to know who you are, that's more machinery than the job needs.
- You want a different memory system. Supermemory stores memory in a vector-graph engine (the details are in Supermemory vs Unabyss). Zep tracks how facts change in a temporal knowledge graph, Letta lets the agent rewrite its own memory, and Cognee builds a graph from your documents.
- You want to run it yourself. Supermemory's managed self-hosting starts on its $399/month Scale plan, with air-gapped setups on Enterprise (Supermemory pricing). Mem0, Graphiti, Letta and Cognee are all Apache 2.0 projects you can host at no license cost.
- Credits don't suit you. Supermemory bills usage against a monthly credit balance: 5 per million searches. That scales well with an app's users and is awkward to predict for one person.
How do the best Supermemory alternatives compare?
They split into memory APIs for developers and finished tools for individuals, and almost nothing serves both well. Prices come from each vendor's own pricing page (checked October 2026).
| Tool | Built for | How memory is stored | Open source | Price (checked October 2026) |
|---|---|---|---|---|
| Supermemory (for reference) | Developers building apps and agents | Vector-graph memory engine behind an API and MCP server | MIT-licensed repo; managed self-hosting from Scale | Free with 19/mo; Max 399/mo |
| Mem0 | Developers adding memory to agents | Extracted memories; graph memory on Pro | Apache 2.0 | Free (10K adds/mo); Starter 249/mo |
| Zep + Graphiti | Teams putting business data behind agents | Temporal context graph | Graphiti is Apache 2.0; Zep is managed | Free (10K credits/mo); Flex 375/mo |
| Letta | Developers building stateful agents | Memory blocks the agent edits, plus archival memory | Apache 2.0 | Free; Pro $20/mo; Developer usage-based |
| Cognee | Developers turning documents into memory | Knowledge graph with vector search | Apache 2.0 | Free (1M tokens); Standard $1 per 1M tokens |
| Unabyss | Individuals using Claude, ChatGPT and Cursor | Structured context built from your work apps, served over MCP | No | 7-day free trial; Pro 89/mo |
| MemoryPlugin | Individuals moving between many chatbots | Saved memories and imported chat history | No | Core 180/yr |
| Basic Memory | Individuals who want local Markdown | Markdown knowledge graph on your machine | AGPL-3.0 | Free locally; cloud from $15/seat/mo |
| ChatGPT / Claude memory | People who use one assistant | Memory inside that one app | No | Included, from the free plans |
Which Supermemory alternatives suit developers adding memory to AI apps?
For AI agents or an app that has to remember its users, Mem0 is the default swap, Zep wins when facts change over time, Letta fits when the agent should manage its own memory, and Cognee fits when the memory comes from documents.
Mem0
Mem0 is the closest like-for-like replacement: a memory layer for AI agents with Python and JavaScript SDKs, a managed platform and an Apache 2.0 open-source version. It's also the most adopted open source option here, with 67,300 GitHub stars as of October 2026 (GitHub), about double Supermemory's 31,300.
Mem0 prices by request, not by token. The free Hobby plan covers 10,000 memory adds and 1,000 retrievals a month, Starter is 249 adds graph memory and multiple projects (Mem0 pricing). Mem0 reports scores of 92.5 on LoCoMo and 94.4 on LongMemEval for its April 2026 memory algorithm, measured on the managed platform; its README says open-source users should expect similar, not identical, results.
Zep and Graphiti
Zep is the pick when your AI agents need to know not just a fact but when it stopped being true, which is a temporal reasoning problem. It builds a temporal context graph for each user, account or domain and dates every fact as the source data changes (Zep). Zep reports 94.7% accuracy on LoCoMo with 155 ms retrieval latency, a vendor-run benchmark.
The engine underneath, Graphiti, is an Apache 2.0 framework for temporal knowledge graphs, with bi-temporal tracking, automatic fact invalidation and its own MCP server, at about 31,900 GitHub stars (GitHub). Zep itself is now pitched at enterprises: credits are free up to 10,000 a month, then Flex costs $125/month, and SOC 2 Type II and a HIPAA BAA sit on the Enterprise plan. If you want the graph without the platform, self host Graphiti.
Letta
Letta, formerly MemGPT, is a platform for stateful agents where memory is part of the agent rather than a store beside it. Its core memory is made of memory blocks: sections of the context window that persist across every interaction and that the agent rewrites itself through memory tools, which makes it self-editing memory (Letta docs). Anything that can't stay pinned in context goes to archival memory, which the agent searches on demand.
The project is Apache 2.0 with about 25,200 GitHub stars and runs locally with letta server (GitHub). Letta Cloud, the managed cloud version, has a free plan that accepts your own API keys, Pro at 0.10 per active agent per month (Letta pricing). Pick it when you're designing the agent, not bolting memory onto one.
Cognee
Cognee calls itself an open-source AI memory platform for persistent long-term memory: it turns documents, code and conversations into a knowledge graph your agents query, picking graph, vector or code context for each question (GitHub). It's Apache 2.0 with about 31,200 stars, runs fully self-hosted for free, and ships an MCP server for Cursor, Cline and other clients.
The hosted version is free up to 1 million tokens, then 5 per extra workspace, with Slack, Notion, Linear and Google Drive integrations on the paid plan (Cognee pricing). It suits retrieval over a body of material better than remembering user preferences.
Which AI memory tools suit individuals using Claude, ChatGPT and Cursor?
If you aren't shipping an app, skip the memory APIs: Unabyss, MemoryPlugin and Basic Memory give your own AI tools one shared, persistent memory without code, and they differ mainly in where that memory comes from. The wider field, with Gemini and the built-in options, is in Best AI Memory Tools Across ChatGPT, Claude & Cursor.
Unabyss
Unabyss is a personal context layer: shared memory for all your AI tools, built from the apps where your work already happens. You connect at least two of its 26 apps, such as Gmail, Google Calendar, Notion, Slack, GitHub or Linear, and Unabyss extracts a structured picture of your role, projects, people and preferences. It keeps that picture current as those apps change and serves it over MCP to Claude, ChatGPT, Cursor, Claude Code, Codex and other clients. You decide what each tool sees, per app and per file, and tools without MCP can take a Markdown export.
The difference from Supermemory isn't the protocol, since both run MCP servers. It's that Supermemory's connectors are something a developer wires up through its API, while in Unabyss connecting Gmail is one click and the context exists before your first prompt. In an August 2026 Unabyss benchmark, adding it to an assistant that already had the same tools connected cut cost by 36%, time by 38% and follow-up prompts by 60% (What Structured AI Context Is Worth).
The trade-offs: no free plan, only a 7-day trial before Pro at $15/month, and no SDK for putting it inside your own product.
MemoryPlugin
MemoryPlugin carries chat memory between chatbots through a browser extension for Chrome and Safari, an MCP server and a Custom GPT, across what it counts as 21+ AI tools (MemoryPlugin). Memories come from what you save and from imported conversation history, sorted into buckets, and Core costs $89 a year after a 7-day trial that needs a card (MemoryPlugin pricing). It fits best when your memory lives in conversations rather than in work apps; the full breakdown is in MemoryPlugin Alternatives.
Basic Memory
Basic Memory keeps notes and decisions as plain Markdown files in a local knowledge graph and serves them over MCP to Claude, Codex, Cursor and VS Code (Basic Memory). It's open source under AGPL-3.0 and free on your own machine, and the cloud version starts at $15 per seat per month with a 7-day trial (Basic Memory pricing).
ChatGPT and Claude memory
If one assistant does nearly all your work, its built-in memory costs nothing and is good enough. ChatGPT draws on saved memories, past chats and, on Plus and Pro outside the EEA, Switzerland and the UK, your files and Gmail (OpenAI); Claude keeps editable memory topics with a separate memory per project (Claude Help Center). Neither leaves its own app, which is where Which AI Has the Best Memory? ends and cross-tool memory begins.
Is Supermemory open source?
Partly: Supermemory's GitHub repository is MIT-licensed and has about 31,300 stars, and its README documents running a local server from prebuilt Docker images or a binary (GitHub). Managed self-hosting is a Scale and Enterprise feature (Supermemory pricing). If a fully open-source memory layer matters to you, Mem0, Graphiti, Letta and Cognee all publish their code under Apache 2.0 and are self-hostable.
How do Supermemory and Mem0 differ?
Both are agent memory APIs for developers; the practical differences are what you pay for and how much comes in the box. Supermemory charges credits for tokens stored and queries run, while Mem0 charges for add and retrieval requests. Supermemory bundles more around the API: connectors for Google Drive, Gmail, Notion and GitHub, plugins for Claude Code, Cursor and Codex, and a browser extension (Supermemory changelog). Both serve the same buyer, which is why choosing between them matters far less than choosing between a memory API and a tool for yourself, as Agent Memory vs. Context explains.
Where is Supermemory still the better choice?
Supermemory is still the better choice when you want memory, connectors and agent plugins from one vendor instead of assembling them yourself.
- You need user memory and RAG over files in one API. Supermemory prices both on the same rate card, with its SuperRAG retrieval at $1 per million tokens of text.
- Your coding agents should write to a shared memory. Its plugins for Claude Code, Cursor, Codex and OpenCode do that out of the box.
- You need compliance below enterprise pricing. SOC 2 and a HIPAA BAA come with Scale at $399/month; at Zep they sit on the custom Enterprise plan.
- Your team needs shared memory spaces that several people's assistants read and write.
And if you're shipping a product, Unabyss is the wrong swap: it's built for the person using AI tools, not as an SDK for someone else's app.
If you are that person, see how Unabyss works: connect two apps, and your next Claude, ChatGPT or Cursor session starts with your context already loaded.
