
Mem0
situationalDrop-in long-term memory layer for AI agents and apps — open-source library plus managed cloud platform.
Visit mem0.ai →> **Mem0** — situational > Verified 2026-08-19 > Limitation: Memory quality depends on the underlying LLM and embedding model; bad extractions compound over time. > > https://noemium.com/tools/mem0/Add to kitOpen in NoemiumFact-check this catalog entry for Mem0 (dev-infra). Verdict: situational Verdict text: Mem0 gives agents persistent, queryable memory without rebuilding retrieval pipelines from scratch. The open-source Python/JS SDK and Docker-based self-hosted server make it easy to prototype, and the managed platform adds analytics and graph memory. It is still a young layer; production teams need to think hard about memory accuracy, privacy, and the cost of retrieval at scale. Limitations: - Memory quality depends on the underlying LLM and embedding model; bad extractions compound over time. - Free and Starter plans have tight request limits; production scale quickly lands on the $249/mo Pro tier or Enterprise. - Self-hosted setup requires managing vector storage and auth, not a one-line drop-in for most teams. Receipts: https://www.mem0.ai https://www.mem0.ai/pricing https://github.com/mem0ai/mem0 Last verified: 2026-08-19 Find outdated prices, wrong claims, or missing limitations. Cite primary sources (docs, pricing pages, benchmarks, model cards). Do not use marketing pages.[](https://noemium.com/tools/mem0/)
ledger entry · observed by @whysanesanders
Mem0 gives agents persistent, queryable memory without rebuilding retrieval pipelines from scratch. The open-source Python/JS SDK and Docker-based self-hosted server make it easy to prototype, and the managed platform adds analytics and graph memory. It is still a young layer; production teams need to think hard about memory accuracy, privacy, and the cost of retrieval at scale.
Strengths
- Drop-in long-term memory layer for agents and apps.
- Open-source Python/JS SDK plus a Docker-based self-hosted server.
- Managed platform adds analytics and graph memory on top of the core.
Known limitations
- Memory quality depends on the underlying LLM and embedding model; bad extractions compound over time.
- Free and Starter plans have tight request limits; production scale quickly lands on the $249/mo Pro tier or Enterprise.
- Self-hosted setup requires managing vector storage and auth, not a one-line drop-in for most teams.
Use it when
- Agents and apps that need persistent, queryable memory without custom RAG.
- Teams that want a self-hosted memory layer under their own infrastructure.
Skip it when
- Memory accuracy, privacy, and retrieval cost at scale are unproven concerns.
- You cannot manage vector storage and auth for a self-hosted deployment.
- Tight request limits on low tiers would break your production workload.
Buy-check
- ·Price — freemium, Open-source library and self-hosted server are free; managed Hobby plan is free (10k add requests/mo), Starter $19/mo, Pro $249/mo, Enterprise custom. as of 2026-08-19. Open the pricing page, not a screenshot.
- ·Free tier — Free tier exists — burn it first.
- ·Cancel fallout — What happens to your data/projects on cancel — check the ToS, not the FAQ.
- ·Seat math — Per-seat pricing multiplies quietly. Count seats before the annual plan.
- ·Who skips it — Also skipped when: Memory accuracy, privacy, and retrieval cost at scale are unproven concerns.; You cannot manage vector storage and auth for a self-hosted deployment..
Price trailchangelog →
No price move in this repo yet.
Facts
- pricing
- freemium1
- price note
- Open-source library and self-hosted server are free; managed Hobby plan is free (10k add requests/mo), Starter $19/mo, Pro $249/mo, Enterprise custom.
- free tier
- yes
- open source
- yes
- api
- yes
- self-host
- yes
- category
- dev-infra
- evidence
- source-verified
- Models
- BYOK
Data: trains on inputs unknown · local processing yes
Sources
No source, no number.
Similar joball alternatives →
| tool | verdict | price | oss | self-host |
|---|---|---|---|---|
| Mem0 | situational | freemium | yes | yes |
| Modal | ship | freemium | no | no |
| OpenRouter | ship | freemium | no | no |
| Replicate | ship | paid | no | no |
Facts from the catalog files — not scores you can buy. Quality and speed stay in the briefing, not in a fake 1–5 grid.
Modal
Serverless GPU and compute platform for running ML and AI workloads.
APIFREE TIER
freemiumfree tier ($30/mo compute); pay-as-you-go beyond
OpenRouteranchor
One API for every major model — unified billing, fallbacks and routing.
APIFREE TIER
freemiumpay-per-token pass-through plus a small fee
Replicate
Run any community model via API — pay per second, no GPU wrangling.
API
paidpay per run; image models from ~$0.003/image