context-mode vs mem0
mem0 is much bigger: 68.1k stars against 33.0k. Over the days we have tracked them context-mode moved +68.5% and mem0 +9.2%, so context-mode is growing faster right now.
They split the axes: context-mode leads on context depth, mem0 on setup ease.
Stars and commit dates come from our own daily tracking. The six axes are read off each project's documentation by our review pipeline, so they describe what a project says about itself, not what we measured in its code.
Where they stand today
Sandboxes large tool outputs and persistently indexes session events (SQLite FTS5 + BM25) so agents retrieve only relevant fragments, drastically shrinking context usage while preserving continuity across many MCP clients.
- Stars
- 33.0k
- Tracked growth
- +68.5%
- Maturity
- ●●●●●
- Last commit
- 9m ago
- Language
- TypeScript
- License
- NOASSERTION
- Cost to run
- Free, local install
Provides a production-ready, self-hostable memory layer with a token-efficient memory algorithm, entity linking, and agent skills for easy integration into AI assistants.
- Stars
- 68.1k
- Tracked growth
- +9.2%
- Maturity
- ●●●●●
- Last commit
- 14h ago
- Language
- Python
- License
- Apache-2.0
- Cost to run
- Your LLM/API key costs; self-host or paid cloud available
Six axes, head to head
Each axis runs 0 to 5. The label under a score is what that project's own docs claim, not a category average.
| Axis | context-mode | mem0 |
|---|---|---|
Context depth How much of your codebase it sees before it answers: the open diff, the diff plus related files, or the whole repository. | ●●●●● Whole-repo analysis | ●●●●● User/session only |
Noise control How it keeps output volume down — severity thresholds, deduplication, incremental runs over new commits only. | ●●●●● BM25 & sandboxing | ●●●●● Multi-signal retrieval |
Customization How far it bends to your team: custom rules, prompts, style guides, per-path config. | ●●●●● Config files & hooks | ●●●●● Plugins & config |
Privacy Whether your code stays on your own infrastructure: fully local, self-hostable, or cloud API only. | ●●●●● Fully local | ●●●●● Self-hostable |
Model freedom Whether you can point it at any provider, or it is wired to one. | ●●●●● Multiple providers | ●●●●● Multiple LLMs |
Setup ease What it takes to get a first useful run out of it. | ●●●●● Config + one command | ●●●●● One-command start |
Which one to pick
Pick context-mode if…
Context-efficient — drastically reduces context bloat and preserves session continuity across IDEs and CLIs via local MCP hooks and searchable session storage.
- Context depth: Whole-repo analysis (5/5 against 1/5)
Pick mem0 if…
Self-hostable — one-command bootstrap and SDKs let teams add a scalable, token-efficient memory layer while keeping data under their control.
- Setup ease: One-command start (5/5 against 3/5)
What people want from each one
mem0ai/mem0
Hacker News: Show HN: Mem0 – open-source Memory Layer for AI apps drew 201 points and 61 comments.
Questions people ask
Is context-mode better than mem0?
They split the axes: context-mode leads on context depth, mem0 on setup ease. context-mode is worth picking when context-efficient — drastically reduces context bloat and preserves session continuity across IDEs and CLIs via local MCP hooks and searchable session storage.
Which of context-mode and mem0 keeps my code private?
context-mode: Fully local (5/5). mem0: Self-hostable (4/5).
What does each one cost to run?
context-mode: Free, local install. mem0: Your LLM/API key costs; self-host or paid cloud available.
Full profiles: mksglu/context-mode and mem0ai/mem0. Everything else in Memory & context.