AI Agents
ten-framework
Open-source framework for conversational voice AI agents
★ 11.1k starsUnknown
View guide →an open source, extensible AI agent that goes beyond code suggestions - install, execute, edit, and test with any LLM
goose is an open-source ai agents project by aaif-goose (aaif-goose/goose on GitHub). It has 54,932 GitHub stars and 6,356 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 2 October 2026.
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.
Agents call real tools: browsers, terminals, APIs.
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/aaif-goose/goose.git
cd gooseEvery 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 aaif-goose/goose with 6,355 forks. Check the repo's contributors and recent commits to see how active maintenance is.
Apache 2.0 licensed — commercial use allowed with attribution.
Model API bills dominate; self-hosted stacks cut that sharply.
For bounded tasks with supervision, yes. Fully autonomous money-moves still need guardrails.
Sandboxing, approval gates, and least-privilege credentials.
Open-source framework for conversational voice AI agents
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Free and open — grab the source, star the repo, and start creating.