Mastra vs Mem0 (2026): which should you pick?
As of Nov 12, 2026, Mastra grades higher than Mem0: 2.8 against 2.6 out of 4.0.
Checked Nov 12, 2026 · graded Nov 12, 2026 by ToolGPA
Mastra grades higher on features. They get the same grade on value for money, the free plan, ease of use and platforms.
Price, platforms and features side by side. The table says where each price was read and when.
Mastra
TypeScript framework for building and running AI agents
Free plan · from $25/mo
Which one is for you
Pick Mastra if
- Fits if you write TypeScript and want to build your own agents
- Works for teams that want to deploy agents on Vercel or Cloudflare
Look elsewhere if
- Not for you if you want no-code, since building an agent means writing TypeScript
- Pricey if you grow, as past the allowance egress is $0.10 a GB and events $10 per 100K
- Watch out: RBAC, SSO and audit logs are Enterprise only, and the SOC 2 report starts at Team at $250
- Watch out: some repository folders (ee/) sit under a separate enterprise licence
Pick Mem0 if
- Fits if you are a developer who wants your agent to remember users
- Works for teams already on LangChain, CrewAI or the Vercel AI SDK
Look elsewhere if
- Skip it if you want a finished agent, as it is only the memory part
- Tight if you stay free, since after 30 days hosted model calls need your own LLM key
- Not for you if you need graph memory or SSO, because those are Custom only
- Watch out: usage past the free limits is billed, but the page states no rates
How we grade them
| 2.8GPAMastraGood | 2.6GPAMem0Good | |
|---|---|---|
| Value for money | AThe framework is open source and the cloud has a free plan. Starter is $25 a workspace a month and Team $250. | AAn open-source version you can run yourself, and a Free plan with unlimited end users. The only other plan is Custom, with no price shown. |
| Free plan and trial | BFree cloud plan: unlimited agents, users and deployments, 100K observability events and 15-day trace retention. A solo developer can live on that. | BFree gives 10,000 adds and 1,000 retrievals a month for 30 days, then 50,000 adds and 10,000 retrievals with your own LLM key. |
| Features | BAgents, workflows, memory, evals, MCP servers and deployment to many hosts. Nothing in the listing is missing for code-first agent work. | CIt does the memory job fully but only that job. Graph memory, user profiles, analytics and SSO are Custom only. |
| Ease of use | DNo store rating, and building an agent means writing TypeScript and running it yourself. | DNo store rating, and you add it to your own agent through SDKs or an MCP server. |
| Platforms and integrations | BWeb with deployment to Vercel, Netlify and Cloudflare, and Next.js, React, Hono and Express listed. | BWeb, with Python and JavaScript SDKs and LangChain, CrewAI, LlamaIndex, Claude Code and Cursor listed. |
| Best for | TypeScript developers building their own agents | adding long-term memory to an AI agent through code |
The GPA is the average of the five grades: an A is 4 points, an F is none. The full reasons are on each tool's page: Mastra and Mem0. How we grade
Where they differ
- Mastra also covers workflow automation.
In commonFree planWebOpen sourceSelf-hostableAI featuresAI agents
At a glance
| Mastra | Mem0 | |
|---|---|---|
| Pricing | Free plan | Free plan |
| Starts at | $25 per workspace / month | Not published |
| Free plan | Unlimited agents, users and deployments, 100K observability events, 1 GB egress, 5 connections and 15-day trace retention. | Unlimited end users; 10,000 adds and 1,000 retrievals a month for the first 30 days, or 50,000 adds and 10,000 retrievals a month with your own LLM key. |
| Free trial | None listed | None listed |
| Web | ||
| Made by | Mastra | Mem0 |
| Price read from | mastra.ai | mem0.ai |
| Checked | Nov 12, 2026 | Nov 12, 2026 |
Worth knowing
Mastra
- It is a code framework, so building an agent means writing TypeScript; there is no no-code builder.
- Cloud usage past each plan's allowance is billed separately, for example $0.10 per GB of egress and $10 per 100K observability events.
- RBAC, SSO and audit logs are Enterprise only, and the SOC 2 report starts at the Team plan.
- Some directories in the repository are under a separate enterprise license (ee/), so not every file carries the main open-source terms.
Mem0
- The pricing page shows only a Free plan and a Custom plan; the price of Custom is not published.
- The Free plan includes 10,000 adds and 1,000 retrievals for the first 30 days with model calls on Mem0; after that you supply your own LLM key.
- Graph memory, user profiles, advanced analytics, SSO, audit logs and on-prem deployment are limited to Custom.
- Past the free limits, usage is billed, but the page does not state the rates.
Key features
Mastra
- Agents
- Typed agents are defined in code with instructions, a model, tools and runtime behavior in one place.
- Workflows
- Typed steps can be chained with retries and branches into workflows that a team can inspect.
- Memory
- Agents can keep durable context through thread-aware storage, semantic recall and an observational memory option.
- Observability and evals
- Traces, metrics and logs sit alongside evaluation tools such as scorers, datasets and experiments.
- MCP servers
- Agents, tools and other resources can be exposed as Model Context Protocol servers that any MCP-capable system can call.
- Deploy anywhere
- A Mastra app runs on any Node.js host or as a standalone server, with optional deployers for Vercel, Netlify and Cloudflare, or on Mastra Cloud.
Mem0
- Persistent memory
- Messages are added per user and searched later, so an agent can recall preferences and facts across sessions.
- Memory compression
- The vendor says chat history is condensed into compact memories to cut tokens and latency.
- Python and JavaScript SDKs
- A few lines of code add and search memories, and the docs include setup guides for 22 frameworks and tools such as LangChain, CrewAI and the Vercel AI SDK.
- Coding-agent plugins and MCP
- Guides cover adding memory to Claude Code, Cursor, Codex and other coding agents, and an MCP integration is listed.
- Graph memory and user profiles
- Entity linking and user profiles are listed on the Custom plan only.
- Open-source version
- The same memory layer can run as a library or a Docker stack on your own infrastructure under an Apache-2.0 license.
Plans
Mastra
Free$0
Unlimited agents, users and deployments, 100K observability events, 1 GB egress, 5 connections and 15-day trace retention.
Starter$25
per workspace / month
One small dedicated project, usage alerts, 250K observability events, 10 GB egress, 10 connections and 60-day trace retention.
Team$250
per workspace / month
One small and two medium dedicated projects, a SOC 2 report, 10M observability events, 100 GB egress, 50 connections and 180-day trace retention.
EnterpriseCustom
RBAC, SSO, audit logs, custom allowances and connections, and dedicated support.
Mem0
Free$0
Unlimited end users, community support, and usage-based billing past the limits with a monthly cap you set.
CustomCustom
Limits set to your volume, graph memory, user profiles, advanced analytics, private Slack support, SSO, audit logs, SLA and on-prem deployment.
Common questions
Which is cheaper, Mastra or Mem0?
As of Nov 12, 2026, Mastra starts at $25 per workspace / month, and Mem0 publishes no starting price.
Which has a free plan, Mastra or Mem0?
As of Nov 12, 2026, both Mastra and Mem0 have a free plan.
More comparisons
How this page was made
- The verdict at the top follows a fixed rule. When both tools are in the same category and either is in our top three for it, the verdict follows that ranking: the higher-placed tool is our pick. The top three weigh who each tool suits as well as its grades, so a pick can go against the GPA. Otherwise the page does not pick one and says which grades higher: the higher GPA first; on a tie, the one with a free plan, then the one that starts cheaper in dollars a month, counted the same way for both; if they are still level, what the choice depends on.
- The grades are our own, from each tool’s review or report card. The GPA is their average.
- Prices, plans and platforms come from each tool’s listing. The table above says where each price was read and when.
- The differences and the answers to the questions are worked out from those listings.