head to head · open source
cadence vs local-deep-research
cadence has 9,446 GitHub stars, 915 forks, 205 open issues and last shipped 2 days ago. local-deep-research has 9,109 stars, 824 forks, 889 open issues and last shipped yesterday. cadence leads on adoption by 4% (9,446 vs 9,109 stars). cadence is written in Go under Apache-2.0; local-deep-research is written in Python under MIT. cadence has attracted 10% as many forks as stars, local-deep-research 9%. local-deep-research was the more recently maintained of the two, and both are self-hostable with no licence fee.
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
| cadence | local-deep-research | |
|---|---|---|
| GitHub stars | ★ 9.4K | ★ 9.1K |
| License | Apache-2.0 | MIT |
| Written in | Go | Python |
| Last push | 2026-09-18 | 2026-09-19 |
| Forks | ⑂ 915 | ⑂ 824 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick cadence if
- You weight community size — 9.4K 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 local-deep-research if
- You want the local-deep-research feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and local-deep-research fits your workflow better
About cadence
Cadence is an open source orchestration engine for running asynchronous, long running business logic in a fault tolerant way. Written in Go under the Apache 2.0 license, it lives in the distributed systems and workflow automation space, and the project has been open source since 2017. This repository holds the core engine plus supporting tools: the CLI, schema management, a benchmark suite, and a canary. Client libraries for Go and Java are official, while Python and Ruby SDKs come from the community, and iWF can be layered on top as a DSL framework.
read the full cadence overview →
About local-deep-research
Local Deep Research is an MIT licensed, Python based AI research assistant that performs deep, agentic research with proper citations across any local or cloud LLM and more than ten search engines, built for researchers, developers, and privacy conscious self hosters who want both the workload and the data to stay on hardware they control.
read the full local-deep-research overview →
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Frequently asked questions
Is cadence or local-deep-research more popular?
cadence has 9,446 GitHub stars and local-deep-research has 9,109. cadence has the larger community by that measure.
Are cadence and local-deep-research free?
Both are open source. cadence is licensed under Apache-2.0 and local-deep-research under MIT. Neither carries a licence fee.
What is the difference between cadence and local-deep-research?
cadence is written in Go and local-deep-research 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, cadence or local-deep-research?
Choose cadence if you want the larger community (9,446 stars) or its Apache-2.0 licence terms. Choose local-deep-research if its feature set, stack or MIT licence fits better. Both are self-hostable.