head to head · open source
Dify vs agents-best-practices
Dify has 160,251 GitHub stars, 25,336 forks, 1,067 open issues and last shipped yesterday. agents-best-practices has 2,411 stars, 217 forks, 6 open issues and last shipped 15 days ago. Dify leads on adoption by 6,547% (160,251 vs 2,411 stars). Dify is written in Python under a custom or non-standard licence; agents-best-practices is written in various languages under MIT. Dify has attracted 16% as many forks as stars, agents-best-practices 9%. Dify was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (claude), 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
| Dify | agents-best-practices | |
|---|---|---|
| GitHub stars | ★ 160K | ★ 2.4K |
| License | Custom / other | MIT |
| Written in | Python | — |
| Last push | 2026-11-02 | 2026-10-19 |
| Forks | ⑂ 25K | ⑂ 217 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Dify if
- You weight community size — 160K stars and counting
- You want the Custom / other license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick agents-best-practices if
- You want the agents-best-practices feature set and don't need the biggest community
- You prefer the MIT license terms
- You evaluated both and agents-best-practices fits your workflow better
About Dify
Dify Cloud · Self hosting · Documentation · Dify edition overview Dify is an open source LLM app development platform. Its intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features (including Opik, Langfuse, and Arize Phoenix) and more, letting you quickly go from prototype to production. Here's a list of the core features: Quick start Before installing Dify, make sure your machine meets the following minimum system requirements: CPU = 2 Core RAM = 4 GiB The easiest way to start the Dify server is through Docker Compose. Before running Dify with the…
About agents-best-practices
agents best practices "The model proposes actions; the harness validates, authorizes, executes, records, and returns observations." A provider neutral Agent Skill for designing, generating MVP blueprints for, auditing, refactoring, and explaining agentic harnesses. It applies beyond coding agents: research, support, operations, sales, finance, data analysis, procurement, legal workflows, healthcare workflows, education, and workflow automation agents all need the same core runtime discipline. Install pick one: A. With skills (any compatible agent): The g flag installs globally at user level so every project can…
read the full agents-best-practices overview →
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Frequently asked questions
Is Dify or agents-best-practices more popular?
Dify has 160,251 GitHub stars and agents-best-practices has 2,411. Dify has the larger community by that measure.
Are Dify and agents-best-practices free?
Both are open source. Dify has no licence declared in this registry, and agents-best-practices is licensed under MIT. Both are free to self-host.
What is the difference between Dify and agents-best-practices?
Dify is written in Python and agents-best-practices in various languages. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, Dify or agents-best-practices?
Choose Dify if you want the larger community (160,251 stars) or its Custom / other licence terms. Choose agents-best-practices if its feature set, stack or MIT licence fits better. Both are self-hostable.