Skip to content

Catalogdev-infra

Mem0

situationalBlueshift — gaining momentum

Drop-in long-term memory layer for AI agents and apps — open-source library plus managed cloud platform.

Visit mem0.ai →Add to kitOpen in Noemium

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

  1. 1mem0.ai[snapshot]
  2. 2mem0.ai/pricing[snapshot]
  3. 3github.com/mem0ai/mem0[snapshot]

No source, no number.

Edit this page on GitHub

Similar joball alternatives →

toolverdictpriceossself-host
Mem0situationalfreemiumyesyes
Modalshipfreemiumnono
OpenRoutershipfreemiumnono
Replicateshippaidnono

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
dev-infraship

Modal

Serverless GPU and compute platform for running ML and AI workloads.

APIFREE TIER

freemiumfree tier ($30/mo compute); pay-as-you-go beyond

Blueshift — gaining momentum
OpenRouter
dev-infraship

OpenRouteranchor

One API for every major model — unified billing, fallbacks and routing.

APIFREE TIER

freemiumpay-per-token pass-through plus a small fee

Blueshift — gaining momentum
Replicate
dev-infraship

Replicate

Run any community model via API — pay per second, no GPU wrangling.

API

paidpay per run; image models from ~$0.003/image

Steady momentum