Cheapest Memory for Agents: Flat Pricing Compared
Sticker prices mislead. Fix the quota first — 50K, 200K, or 500K adds in one month — and the cheapest memory for agents is decided quota for quota, with Hobby at $0 and flat tiers at $12, $50, and $125.
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What cheapest means for agent memory
Sticker price tells you almost nothing about agent memory cost. A $12 plan and a $19 plan are not comparable until you check what each one buys: how many adds, how many searches, and what happens past the quota. A plan that looks cheap and then bills per request past the limit can cost more than a higher sticker price with a larger included quota.
The useful comparison is quota for quota, for the same month. Fix the workload first — 50,000 adds and 5,000 searches, for example — then read the monthly total on each side for that exact quota. That is the only way to decide which option is the cheapest memory for agents for your usage instead of someone else's marketing tier.
Counting rules belong in the same comparison. Audaxic counts an add request per memory extracted from a message batch, so one /add call that extracts five memories counts as five add requests. Retrieve requests use tiered counting: the first 10 memories returned count as 1 request, and each additional 10 counts as 1 more, so a search returning 25 memories counts as 3 requests. Skip this step and you will undercount a heavy-extraction month and blame the price instead of the estimate.
Keep the date on any competitor number you cite. The mem0 prices in this post are published prices as of August 2026, and mem0 can change them. Audaxic's side comes from the published plan table: Hobby at $0/month, Starter at $12/month, Growth at $50/month, Pro at $125/month, and Enterprise at $260/month. For the per-add arithmetic behind those tiers, read the pricing math breakdown rather than redoing it here.
Cheapest memory for agents, quota for quota
Three tiers line up directly because the quotas match. Audaxic Starter, Growth, and Pro offer the same add and search quotas as the three published mem0 tiers below, so the monthly totals compare without adjustment.
| Monthly quota | Audaxic | mem0 (August 2026) | Difference per month |
|---|---|---|---|
| 50,000 adds, 5,000 searches | $12/month (Starter) | $19/month (Starter) | $7 less ($19 − $12 = $7) |
| 200,000 adds, 20,000 searches | $50/month (Growth) | $79/month (Growth) | $29 less ($79 − $50 = $29) |
| 500,000 adds, 50,000 searches | $125/month (Pro) | $249/month (Pro) | $124 less ($249 − $125 = $124) |
Every Audaxic plan in the table includes unlimited projects and graph memory. Graph memory is included on all plans from Hobby through Enterprise, so the quota comparison does not hide a missing feature on the lower tier. The pricing page lists the current plan table, and the pricing docs define how adds and retrieves are counted.
The percentage gap follows directly from those published totals. On Starter, ($19 − $12) / $19 = $7 / $19 = about 36.8% less. On Growth, ($79 − $50) / $79 = $29 / $79 = about 36.7% less. On Pro, ($249 − $125) / $249 = $124 / $249 = about 49.8% less. That is the basis for the published summary that matching quotas cost up to 50% less.
One boundary to note: mem0's published comparison stops at the 500,000-add quota. Above that, Audaxic Enterprise offers 1,000,000 adds and 100,000 retrieves at $260/month with unlimited projects. Do not extend the quota-for-quota claim past the three rows above. There is no fourth published mem0 row in the source for this comparison.
Three workloads with monthly totals
Published prices matter only when attached to a workload. These three sketches use the same counting rules from the previous section and stay inside published quotas. Adjust the extraction rate to match your own sessions before you pick a tier.
A solo developer running one repo with scoped extraction is the lightest case. Suppose each session extracts 20 memories, three sessions a day, 22 working days: 20 × 3 × 22 = 1,320 adds per month. Searches at three per session add about 198 retrieve requests. Both numbers sit inside Hobby at $0/month, so the monthly total is $0. The equivalent 50,000-add quota would cost $12 on Audaxic Starter or $19 on mem0 Starter as of August 2026, but this workload never needs that quota.
A small team sharing one project memory is the middle case. Take four developers, each extracting 30,000 memories in a busy month through regular sessions plus one history import. That is 120,000 adds and roughly 4,000 retrieve requests across the team. Starter's 50,000 adds no longer cover it. Growth at $50/month covers 200,000 adds and 20,000 retrieves, so the team total is $50. The same 200,000-add quota is published at $79 on the mem0 side as of August 2026, a $29 monthly difference for identical quota.
A CI-heavy repo with review agents and nightly jobs is the top case in this post. Suppose automated runs plus developer sessions extract 400,000 memories in a release month and issue 35,000 retrieve requests. Growth's 200,000 adds no longer cover it. Pro at $125/month covers 500,000 adds and 50,000 retrieves, so the monthly total is $125. The matching 500,000-add quota is published at $249 on the mem0 side as of August 2026, a $124 monthly difference.
A quick way to place your own month next to these sketches:
monthly adds = memories per session × sessions per day × working days
monthly retrieves = searches per session × sessions, adjusted for tiered counting
pick the first tier whose adds quota and retrieves quota both cover the result
Retrieval rarely decides the tier here because every plan keeps a 10:1 ratio of adds to retrieves. The sketches above stay retrieve-light relative to quota. If your agents run broad searches that return 50 or 100 memories at a time, count those retrievals with the tiered rule before you assume adds alone pick the tier.
What the $0 Hobby tier covers
Hobby costs $0/month, requires no credit card, and includes 10,000 adds, 1,000 retrieves, unlimited projects, and graph memory. That combination makes it a starting tier rather than a trial flag. You can put one project per repo, keep each repo's memory separate, and stay at $0 while extraction stays under quota.
Ten thousand adds go further than the number suggests for a careful solo workflow. At 20 extracted memories per session and three sessions a day, you use about 1,320 adds in a 22-day month, leaving headroom for an import week. At 100 memories per session on the same cadence, you reach 6,600 adds and still stay inside Hobby. The limit arrives when extraction gets heavy: 300 memories per session at the same cadence is 19,800 adds, which passes Hobby and lands on Starter at $12/month.
Unlimited projects change what $0 covers across repos. Each repo gets its own project and key, so one noisy prototype does not pollute the memory your main repo relies on. Audaxic is one shared memory layer across coding agents such as Claude Code, Codex, OpenCode, Cursor, and Windsurf, with one memory per project. That project scoping works the same on Hobby as on paid tiers.
The retrieve quota needs its own estimate because tiered counting surprises newcomers. One thousand retrieve requests cover 1,000 narrow searches that each return up to 10 memories. If your searches regularly return 25 memories, each one costs 3 requests, so 1,000 requests cover about 333 such searches. Watch broad recall patterns first if retrieves run hot while adds look safe.
Move to Starter when either quota runs out, not when the calendar says so. Starter at $12/month buys 50,000 adds and 5,000 retrieves with the same unlimited projects and graph memory. The comparison section puts the Hobby-to-Starter step next to the paid tiers if you want the side-by-side view.
Flat billing vs per-request overages
Flat monthly billing means the invoice for the month is the tier price. Audaxic's position is direct: flat monthly pricing with no per-token fees and no overages. When a month runs heavy — a refactor, a bulk import of past Claude Code, Codex, and OpenCode sessions, a week of CI retries — you either stay inside your tier's quota or move up to the next published tier. The number on the invoice does not scale per request past the quota because there is no per-request meter running.
Per-request overage billing works the opposite way. Past the included quota, each additional request adds a charge, so a bursty month produces a variable invoice. This post does not state any competitor's overage rate, because no such rate is in the published source. The argument here is structural, not numerical: fixed quotas give you a fixed number, while overage meters give you a number you learn after the fact.
Predictability is the practical case for flat billing on teams. A team lead approving Growth at $50/month knows the memory line for the quarter is $150 unless the team outgrows the quota and moves a tier at a published price. The tradeoff: a very light month on a paid tier costs the same as a heavy month on that tier. 40,000 adds for $50 and 190,000 adds for $50 both read as $50.
Bursts deserve their own check because agent memory usage arrives unevenly. An import month can double extraction while searches stay flat. Under flat billing, that import month either fits the current tier or justifies one tier up for that month. The months after it return to the lower tier's volume at the lower price.
For the side-by-side framing of this pricing model, the Mem0 Alternative comparison covers the quota table, and the Mem0 vs SuperMemory vs Zep vs Audaxic comparison places mem0 against two more memory vendors on features and price.
Pick a tier from measured extraction
Start from measured extraction, not from team size. Run a normal week, page through GET /list output, and count memories per session. Multiply by sessions per day and working days. That product picks the tier more reliably than headcount, because extraction rates vary more between workflows than between developers on the same workflow.
Confirm the count against the live project before you commit:
curl -H "Authorization: Bearer ak_YOUR_PROJECT_KEY" \
-H "X-Api-Version: 2026-09-25" \
"https://api.memory.audaxic.com/list?limit=100&offset=0"
Page with limit and offset until you have a full week's memories, then divide by sessions to get memories per session. Use that rate in the formula from the workloads section.
Use this decision list in order:
- Under 10,000 adds and 1,000 retrieves: stay on Hobby at $0/month with unlimited projects.
- Under 50,000 adds and 5,000 retrieves: Starter at $12/month covers the month.
- Under 200,000 adds and 20,000 retrieves: Growth at $50/month covers the team or the import month.
- Under 500,000 adds and 50,000 retrieves: Pro at $125/month covers the CI-heavy release cycle.
- Past Pro quota: Enterprise at $260/month covers 1,000,000 adds and 100,000 retrieves, with on-premise deployment available on request.
Recheck retrieves before you commit, especially if agents run broad searches. A workload at 45,000 adds but 8,000 retrieves no longer fits Starter's 5,000-retrieve quota even though adds fit. The first tier that covers both columns is the right tier. Audaxic exposes a mem0-like API across its add, search, list, update, and delete endpoints, so the pricing model is the part worth re-checking before you commit.
FAQ
Which is the cheapest memory for agents at matching quotas?
Audaxic Starter, Growth, and Pro provide 50,000, 200,000, and 500,000 adds with 5,000, 20,000, and 50,000 searches at $12, $50, and $125 per month. The same quotas are published at $19, $79, and $249 for mem0 as of August 2026, so matching quotas cost up to 50% less with flat billing instead of per-request overages.
What does the $0 Hobby plan include?
Hobby costs $0/month with no credit card required and includes 10,000 adds, 1,000 retrieves, unlimited projects, and graph memory. It fits solo workflows with scoped extraction, and Starter at $12/month is the next step when either quota runs out.
How is an add request counted before I estimate a tier?
An add request is counted per memory extracted from a message batch, so one /add call that extracts five memories counts as five add requests. Retrieve requests use tiered counting: the first 10 memories returned count as 1 request, and each additional 10 counts as 1 more.
When does flat billing beat per-request overages?
Flat billing fixes the invoice at the tier price, so a heavy month either stays inside quota or moves up one tier at a published price. That predictability helps most when usage arrives in bursts such as imports, refactors, or CI-heavy release weeks.
Written by Efe — Oct 11, 2026 · More articles · X @AudaxicTech