mindshub vs OpenManus
MindsDB's pivot: a unified 'Cowork' workspace where you delegate whole projects — apps, research, analysis, scheduled operations — to open-source models you can swap anytime. — versus — Open-source general autonomous agent from the MetaGPT team — the 'Manus without an invite code': browsing, tool use and multi-step task execution from a simple Python core.
Both answer 'delegate the whole task to an agent' — OpenManus as a minimal open reference you run yourself, MindsHub as a productized workspace with scheduling and a console.
| mindshub | OpenManus | |
|---|---|---|
| Stars | 39k | 57k |
| Forks | 6.2k | 10.0k |
| Language | Makefile | Python |
| License | MIT | MIT |
| Last activity | 6 days ago | 5 months ago |
| Topics | agents | agents |
| Curated connections | 1 | 2 |
mindshub — the curator's take
The pitch is model-agnostic delegation: hand it a project, keep your artifacts and workflows when you swap the underlying model — a real answer to model-vendor lock-in anxiety. Read the star count honestly though: ~39k stars are inherited from this repo's previous life as the MindsDB database product; the Cowork workspace is a young pivot wearing an old repo's reputation. Expect open-core gravity (console, pricing links throughout) and a product still finding its shape. NOT a building block — it's a destination workspace; if you're composing your own stack, the frameworks here compose, this doesn't.
OpenManus — the curator's take
The fastest way to feel what a general autonomous agent does: clone, add a model key, hand it a task — the 3-hour-prototype energy that earned 57k stars keeps the codebase small enough to actually read, which makes it a great learning skeleton. But look at the commit graph before betting on it: activity has been quiet for months while the team's focus moved on (OpenManus-RL and beyond), so treat it as a reference implementation, NOT a maintained production framework — for durable agent infrastructure reach for an actively developed harness instead.