Panoramica
An agent harness combining tools, memory and sandboxes for research, coding and content tasks. The repository is maintained under bytedance on GitHub. Its primary language is Python. See the [project README](https://github.com/bytedance/deer-flow#readme) for the supported workflows.
Funzionalità principali
- An agent harness combining tools, memory and sandboxes for research, coding and content tasks.
Requisiti, installazione e avvio rapido
Follow the upstream quickstart, install its documented runtime, and configure only the model providers and tools required for your first task.
[Read the upstream installation and quickstart instructions](https://github.com/bytedance/deer-flow#readme).
[Read the upstream installation and quickstart instructions](https://github.com/bytedance/deer-flow#readme).
Utilizzo
Give the agent a narrowly scoped task with test data, review its actions and outputs, and expand tool access only as needed.
[Usage examples and configuration reference](https://github.com/bytedance/deer-flow#readme).
[Usage examples and configuration reference](https://github.com/bytedance/deer-flow#readme).
Compatibilità del modello e casi d'uso
La compatibilità del modello non è indicata nei metadati del repository.
Note su licenza e rischi
GitHub reports MIT for this repository. Review the upstream license file; model weights, datasets and dependencies may have separate terms.
Source review 2026-09-05: GitHub search metadata and repository README. No runtime benchmark performed. License metadata: MIT.
Rilascio e manutenzione
[View upstream releases](https://github.com/bytedance/deer-flow/releases).