Markbase vs. Agent memory: Give your team a record beyond an agent’s memory.
Agent memory is a broad category. Some features remember your preferences; other services give developers memory across agents and applications. Compare the job you need done, rather than assuming every kind of memory is interchangeable.
[ Which fits? ]
Start with the work you need to do.
When Agent memory fits
Use built-in memory for continuity inside your chosen tool. Consider a dedicated memory service when you are building an application that needs to store and retrieve relevant memories for its users.
When Markbase fits
Use Markbase when people and agents need an explicit, shared set of project documents: what was decided, what evidence supports it, what remains open, and what the next contributor should do.
[ Side by side ]
Markbase vs. Agent memory, side by side.
| What matters | Agent memory | Markbase |
|---|---|---|
| Team practices and jobs | Consider how your existing setup distributes skills and starts agent tasks. | Publish team skills across machines; Dispatch routes alerts and due dates to your own agent runners. |
| Main unit of work | Preferences, learned facts, instructions, or retrieved memories; the format varies by product. | Readable project documents, structured records, and supporting files. |
| Across tools | Some memory stays within a tool; dedicated services can support multiple agents and apps. | Compatible connected tools share the workspace your team maintains. |
| Human review | Inspecting and editing memory depends on the product. Some expose editable files or dashboards. | People review saved documents and history in the browser. |
| What gets remembered | May be selected automatically or saved through an integration. | People and agents deliberately save and update the records they want to retain. |
| Next task | The tool or your integration decides what memory to load. | Instruct the next agent to find the relevant brief, decisions, and handoff. |
| Budgeting | Tool subscriptions or service usage allowances; there is no category-wide price. | Workspace plans include seats, document capacity, and storage. Agent usage is separate. |
Product references: Claude Code: project instructions and auto memory · Mem0 platform pricing. Checked October 8, 2026.
[ Pricing ]
Different jobs come with different pricing units.
There is no single price for agent memory. Built-in features depend on your agent plan; developer services often price by requests and projects. Markbase prices a shared workspace with included team seats.
Built-in memory
Check the agent subscription and usage charges you already pay. If its memory meets the need, an additional service may not be necessary.
A service example: Mem0
The hosted Hobby plan is free, with 10,000 add requests and 1,000 retrieval requests per month. Starter is $19/month with 50,000 adds and 5,000 retrievals. Each includes one project and unlimited end users.
This is one hosted service example, not a price for the whole memory category or a feature-equivalent Markbase plan. Mem0 figures checked October 8, 2026: Mem0’s pricing page.
Budget a memory service against your application’s usage and integration work. Budget Markbase against the people, documents, and files sharing the workspace. Neither comparison should hide the separate cost of the agents or models doing the work.
Markbase Free
$0a month
One person
3 workspaces, 200 documents each. 500 MB of storage.
Markbase Pro
$20a month
or $192 a year
Includes 5 seats
25 workspaces, 1,000 documents each. 25 GB of storage.
Markbase Team
$40a month
or $384 a year
Includes 10 seats, then $5 each
100 workspaces, 5,000 documents each. 250 GB of storage.
Markbase prices are USD before tax. Team’s extra seats are $5 each per month or $48 each per year, up to 100 members total. Enterprise and private deployments are quoted separately. Coding agents and model usage are not included. Full plans and limits
[ In practice ]
Make a lesson useful to someone else’s agent.
The starting point
Your agent learns why a particular approach fails. A colleague starts the same problem in a different tool the next morning and needs the reasoning behind that lesson.
With a shared workspace
Save a decision record with the rejected approach, evidence, and chosen direction. The colleague asks their agent to read it before proposing a plan, then adds what the next task teaches the team.
Markbase does not automatically extract every lesson or inject it into every prompt. Reading and updating the shared record should be part of your team’s instructions.
[ Getting started ]
Try it with one piece of work.
- 01
Keep useful built-in memory enabled. Skills are shared instructions for how to work; memory stores facts and decisions. Use each for its purpose.
- 02
Choose decisions and findings that another teammate should be able to inspect.
- 03
Save those as shared records, then ask a different agent to use them on a real task.
[ Questions ]
A few practical questions.
- Is all built-in memory private or locked to one agent?
- No. For example, Claude Code distinguishes auto memory from project instruction files, and project instructions can be shared through source control. Check the actual storage and sharing behavior of the tool you use.
- Can a memory service connect multiple agents?
- Yes. Cross-agent memory is not unique to Markbase. The distinction to evaluate is whether you need memory infrastructure for an application or a shared project workspace for people and their agents.
- Can we use both?
- Yes. An agent can use its own memory for working preferences while your team keeps briefs, evidence, and decisions in Markbase. Make the shared record authoritative for project decisions and correct it as the project changes.
[ More comparisons ]