head to head · open source
ragflow vs J-Space-Cognition-Suite
ragflow has 91,015 GitHub stars, 10,780 forks, 1,525 open issues and last shipped today. J-Space-Cognition-Suite has 3,011 stars, 222 forks, 0 open issues and last shipped 6 days ago. ragflow leads on adoption by 2,923% (91,015 vs 3,011 stars). ragflow is written in Go under Apache-2.0; J-Space-Cognition-Suite is written in Python under Apache-2.0. ragflow has attracted 12% as many forks as stars, J-Space-Cognition-Suite 7%. ragflow was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (ai, ai-agents), so they are genuine substitutes rather than adjacent tools.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| ragflow | J-Space-Cognition-Suite | |
|---|---|---|
| GitHub stars | ★ 91K | ★ 3.0K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Go | Python |
| Last push | 2026-09-20 | 2026-09-14 |
| Forks | ⑂ 11K | ⑂ 222 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick ragflow if
- You weight community size — 91K stars and counting
- You want the Apache-2.0 license terms
- Your stack matches Go
- You value the larger contributor base for long-term maintenance
pick J-Space-Cognition-Suite if
- You want the J-Space-Cognition-Suite feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Python
- You evaluated both and J-Space-Cognition-Suite fits your workflow better
About ragflow
RAGFlow is an open source Retrieval Augmented Generation engine that fuses RAG with agent capabilities into a context layer for large language models, built for developers and teams that need to turn complex, unstructured documents into production AI systems.
read the full ragflow overview →
About J-Space-Cognition-Suite
J Space Cognition Suite is a model agnostic, inference time control suite for deep reasoning, long horizon work, verification, and recovery, delivered as one installable skill for a host agent and built for engineers running serious multi step projects.
read the full J-Space-Cognition-Suite overview →
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Frequently asked questions
Is ragflow or J-Space-Cognition-Suite more popular?
ragflow has 91,015 GitHub stars and J-Space-Cognition-Suite has 3,011. ragflow has the larger community by that measure.
Are ragflow and J-Space-Cognition-Suite free?
Both are open source. ragflow is licensed under Apache-2.0 and J-Space-Cognition-Suite under Apache-2.0. Neither carries a licence fee.
What is the difference between ragflow and J-Space-Cognition-Suite?
ragflow is written in Go and J-Space-Cognition-Suite in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, ragflow or J-Space-Cognition-Suite?
Choose ragflow if you want the larger community (91,015 stars) or its Apache-2.0 licence terms. Choose J-Space-Cognition-Suite if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.