Free Builder Checklist
Find out if your AI workflow is ready for persistent memory.
Use this checklist before you buy anything. If your agents keep relearning the same context, losing handoffs, or mixing private and team knowledge, MemQ should be tested with a paid trial and first recall check.
Your agent repeats setup facts or repo conventions across sessions.
Mark this if it happens in real work, not only in a demo.
Team members solve the same agent-context problem more than once.
Mark this if it happens in real work, not only in a demo.
Important decisions live in chat transcripts instead of a recallable memory layer.
Mark this if it happens in real work, not only in a demo.
You need Claude, Cursor, VS Code, Codex-style sessions, or CI agents to share context.
Mark this if it happens in real work, not only in a demo.
You care which namespace can read a memory.
Mark this if it happens in real work, not only in a demo.
You want a benchmark-backed memory product instead of an unmeasured vector-store wrapper.
Mark this if it happens in real work, not only in a demo.
You need a paid trial path with API-key setup and usage visibility.
Mark this if it happens in real work, not only in a demo.
Score the result
0-2 checks
Too early
You can keep using local notes and short prompts until repeat work starts costing visible time.
3-4 checks
Ready for a trial
You have enough repeated context loss to justify a MemQ trial and first-recall test.
5-7 checks
Memory is a workflow dependency
Your agents need governed memory now. Start with API-key setup, then move real project conventions into MemQ.
First recall acceptance test
Start checkout and create a MemQ API key.
Paste the MCP config into Claude, Cursor, VS Code, or a Codex-style workflow.
Store one safe repo convention, restart the agent, and ask it to recall the convention.