Hindsight vs Mem0 (open source)

Side by side, as alternatives to Mem0 Platform. Rows that differ are highlighted; the strongest value in a row is marked. Unknown means no source yet.

Also replaces Mem0 Platform: + Opencode + Claude-Mem + Ai-memory + Basic Memory

Hindsightvectorize-io/hindsight

Mem0 (open source)mem0ai/mem0

Mem0 Platformpaid product

Cost and coverage

Price

$0 software; you run it

Free Hobby tier (10,000 add and 1,000 retrieval requests a month); Starter $19/month, Pro $249/month, Enterprise custom source ↗

Long-term memory for chat assistants

Partly

Yes

Memory for coding agents

Partly

Yes

Knowledge graph memory

Partly

Yes

Jobs covered

3 of 3 jobs

1 of 3 jobs

All 3

Popularity and activity (from GitHub)

Stars

52,038

67,542Top

—

Gain this week

Unknown

—

Signal

Building history

—

Commits / 4 wk

455Top

—

Latest release

v1.0.0 · 2026-10-13Top

ts-v3.3.1 · 2026-09-25

—

Commits / 12 wk

1,394

132

—

People committing / 12 mo

100+

49+

—

Issues opened / closed, 30 days

473 / 382

111 / 27

—

Facts, with sources on each project page

Runs on my machine?Differs

Yes, Docker, pip or embedded Python on your own machine

Yes, as a Python/Node library or a self-hosted Docker server

Hosted by the vendor

Code licenceDiffers

MIT

Apache-2.0

—

Model weights licenceDiffers

No bundled LLM; licence depends on the model you connect

No bundled weights; licence depends on the LLM and embedding model you connect

—

Commercial useDiffers

Yes, MIT code

Yes, Apache-2.0 code

—

Paid services needed?Differs

Needs an LLM; local Ollama, LM Studio or llama.cpp work, hosted APIs and Hindsight Cloud are optional

Needs an LLM and embeddings (OpenAI by default); local models via Ollama are documented

Subscription

HardwareDiffers

Full API image 1.5 GB RAM minimum (2 GB recommended), slim 512 MB; PostgreSQL 512 MB+; 2 vCPUs on CPU only is fine for development; GPU helps the reranker in production

Not documented; depends on the LLM and embedding model you run

—

Operating systemsDiffers

Linux (x86_64, ARM64), macOS (Apple Silicon; Intel via slim package) and Windows x86_64

Linux (Ubuntu) is used by the project CI. This is test/build evidence, not a complete Windows/macOS support guarantee.

—

Setup effortDiffers

Easy; one Docker command or pip install hindsight-all, plus an LLM provider setting

Easy, pip install mem0ai (server via docker compose)

—

Stars over time

Switch to Growth % to compare projects of different sizes fairly.

Hindsight
Mem0 (open source)

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Tracked daily since 15 Oct 2026. Dashed history: estimated from public records of when people starred the repo. Lines connect observations only; gaps contain no measured points.

Growth % starts at each project's first observed point in the shown range. Zero-star starts are unavailable.

Notes for a video or post

A plain summary with today's date and a link to the sources. Check each project page before you publish.

Hindsight vs Mem0 (open source) (as alternatives to Mem0 Platform)
Figures from RepoQuarry, 21 Oct 2026. Sources: https://repoquarry.dev/compare?ids=hindsight,mem0&product=mem0-platform

Mem0 Platform: Free Hobby tier (10,000 add and 1,000 retrieval requests a month); Starter $19/month, Pro $249/month, Enterprise custom
Hindsight: free software; does 3 of 3 Mem0 Platform jobs
Mem0 (open source): free software; does 1 of 3 Mem0 Platform jobs

- Hindsight: 52,038 GitHub stars, 1,394 commits in 12 weeks, licence MIT
- Mem0 (open source): 67,542 GitHub stars, 132 commits in 12 weeks, licence Apache-2.0

Where they differ:
- Runs on my machine?: Hindsight Yes, Docker, pip or embedded Python on your own machine; Mem0 (open source) Yes, as a Python/Node library or a self-hosted Docker server
- Code licence: Hindsight MIT; Mem0 (open source) Apache-2.0
- Model weights licence: Hindsight No bundled LLM; licence depends on the model you connect; Mem0 (open source) No bundled weights; licence depends on the LLM and embedding model you connect
- Commercial use: Hindsight Yes, MIT code; Mem0 (open source) Yes, Apache-2.0 code
- Paid services needed?: Hindsight Needs an LLM; local Ollama, LM Studio or llama.cpp work, hosted APIs and Hindsight Cloud are optional; Mem0 (open source) Needs an LLM and embeddings (OpenAI by default); local models via Ollama are documented
- Hardware: Hindsight Full API image 1.5 GB RAM minimum (2 GB recommended), slim 512 MB; PostgreSQL 512 MB+; 2 vCPUs on CPU only is fine for development; GPU helps the reranker in production; Mem0 (open source) Not documented; depends on the LLM and embedding model you run
- Operating systems: Hindsight Linux (x86_64, ARM64), macOS (Apple Silicon; Intel via slim package) and Windows x86_64; Mem0 (open source) Linux (Ubuntu) is used by the project CI. This is test/build evidence, not a complete Windows/macOS support guarantee.
- Setup effort: Hindsight Easy; one Docker command or pip install hindsight-all, plus an LLM provider setting; Mem0 (open source) Easy, pip install mem0ai (server via docker compose)

Stars show popularity, not quality. Check each project page before publishing.

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Numbers: GitHub, fetched nightly. Facts: read from each project's own documentation, with the source on its page. How we check. vectorize-io/hindsight ↗mem0ai/mem0 ↗

Hindsight vs Mem0 (open source)

Stars over time

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