Opencode vs Basic Memory vs Hindsight

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.

Opencodeanomalyco/opencode

Basic Memorybasicmachines-co/basic-memory

Hindsightvectorize-io/hindsight

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

1 of 3 jobs

2 of 3 jobs

3 of 3 jobs

All 3

Popularity and activity (from GitHub)

Stars

218,961Top

4,295

52,038

—

Gain this week

Unknown

—

Signal

Building history

—

Commits / 4 wk

986Top

216

455

—

Latest release

v1.19.3 · 2026-10-16Top

v0.23.2 · 2026-08-25

v1.0.0 · 2026-10-13

—

Commits / 12 wk

2,164

714

1,394

—

People committing / 12 mo

420+

100+

—

Issues opened / closed, 30 days

3742 / 4694

74 / 70

473 / 382

—

Facts, with sources on each project page

Runs on my machine?Differs

Yes, CLI and desktop app

Yes, local files plus a SQLite index; air-gapped use supported

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

Hosted by the vendor

Code licenceDiffers

MIT

AGPL-3.0 (copyleft)

MIT

—

Model weights licenceDiffers

No single bundled model licence. OpenCode connects to models/providers; their individual terms apply.

No separate model weights (optional FastEmbed models download on first use)

No bundled LLM; licence depends on the model you connect

—

Commercial useDiffers

Yes, MIT code

Yes, under AGPL-3.0 copyleft terms (share source of modified versions offered over a network)

Yes, MIT code

—

Paid services needed?Differs

Needs a model provider: local models via Ollama, LM Studio or llama.cpp, or a paid API

None required by Basic Memory; you need an MCP-capable AI client, which may itself be paid

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

Subscription

HardwareDiffers

Not checked yet

Not documented

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

—

Operating systemsDiffers

Windows, macOS and Linux (CLI and desktop app)

Windows x86_64, Linux x86_64/ARM64 and macOS are listed in the semantic-search compatibility table; Intel Macs need an ONNX Runtime pin or OpenAI embeddings for local semantic search

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

—

Setup effortDiffers

Easy; one-line install script, npm or brew

Easy, uv tool install plus adding the MCP server to your AI client

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

—

Stars over time

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

Opencode
Basic Memory
Hindsight

Focus a point, use arrow keys, or tap for its value.

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.

Opencode vs Basic Memory vs Hindsight (as alternatives to Mem0 Platform)
Figures from RepoQuarry, 21 Oct 2026. Sources: https://repoquarry.dev/compare?ids=opencode,basic-memory,hindsight&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
Opencode: free software; does 1 of 3 Mem0 Platform jobs
Basic Memory: free software; does 2 of 3 Mem0 Platform jobs
Hindsight: free software; does 3 of 3 Mem0 Platform jobs

- Opencode: 218,961 GitHub stars, 2,164 commits in 12 weeks, licence MIT
- Basic Memory: 4,295 GitHub stars, 714 commits in 12 weeks, licence AGPL-3.0 (copyleft)
- Hindsight: 52,038 GitHub stars, 1,394 commits in 12 weeks, licence MIT

Where they differ:
- Runs on my machine?: Opencode Yes, CLI and desktop app; Basic Memory Yes, local files plus a SQLite index; air-gapped use supported; Hindsight Yes, Docker, pip or embedded Python on your own machine
- Code licence: Opencode MIT; Basic Memory AGPL-3.0 (copyleft); Hindsight MIT
- Model weights licence: Opencode No single bundled model licence. OpenCode connects to models/providers; their individual terms apply.; Basic Memory No separate model weights (optional FastEmbed models download on first use); Hindsight No bundled LLM; licence depends on the model you connect
- Commercial use: Opencode Yes, MIT code; Basic Memory Yes, under AGPL-3.0 copyleft terms (share source of modified versions offered over a network); Hindsight Yes, MIT code
- Paid services needed?: Opencode Needs a model provider: local models via Ollama, LM Studio or llama.cpp, or a paid API; Basic Memory None required by Basic Memory; you need an MCP-capable AI client, which may itself be paid; Hindsight Needs an LLM; local Ollama, LM Studio or llama.cpp work, hosted APIs and Hindsight Cloud are optional
- Hardware: Opencode Not checked yet; Basic Memory Not documented; 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
- Operating systems: Opencode Windows, macOS and Linux (CLI and desktop app); Basic Memory Windows x86_64, Linux x86_64/ARM64 and macOS are listed in the semantic-search compatibility table; Intel Macs need an ONNX Runtime pin or OpenAI embeddings for local semantic search; Hindsight Linux (x86_64, ARM64), macOS (Apple Silicon; Intel via slim package) and Windows x86_64
- Setup effort: Opencode Easy; one-line install script, npm or brew; Basic Memory Easy, uv tool install plus adding the MCP server to your AI client; Hindsight Easy; one Docker command or pip install hindsight-all, plus an LLM provider setting

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. anomalyco/opencode ↗basicmachines-co/basic-memory ↗vectorize-io/hindsight ↗

Opencode vs Basic Memory vs Hindsight

Stars over time

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