ten-framework
Open-source framework for conversational voice AI agents
deer-flow é um projeto de agentes de IA de código aberto de bytedance (bytedance/deer-flow no GitHub). Tem 83.355 estrelas no GitHub e 11.569 forks, é publicado sob a licença MIT e foi atualizado pela última vez no GitHub em 3 de outubro de 2026.
An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message…
Research, coding, browsing, or ops — agents work best with a clear goal.
From no-code builders to code-first SDKs, match complexity to the task.
Web search, code execution, and APIs are what make agents useful.
Watch the trace, approve consequential actions, iterate.
Large language models drive its smartest features, locally or via API.
Benchmarks keep agent quality measurable.
Run agents on your infra with your keys.
Swap frontier models as better ones appear.
Traces show exactly what the agent did and why.
Approval gates for actions that matter.
Download the source and move into the project folder.
git clone https://github.com/bytedance/deer-flow.git
cd deer-flowEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandIt is an open-source project at bytedance/deer-flow with 11,569 forks. Check the repo's contributors and recent commits to see how active maintenance is.
MIT licensed — use it commercially, no strings attached.
Builders exist, but code-first frameworks go further.
Model API bills dominate; self-hosted stacks cut that sharply.
For bounded tasks with supervision, yes. Fully autonomous money-moves still need guardrails.
Open-source framework for conversational voice AI agents
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Grátis e aberto: pegue o código-fonte, dê uma estrela no repositório e comece a criar.