AI Agents
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Build, run, and manage full agent platforms — not just single agents.
★ 42.6k starsApache-2.0
View guide →Build and run agents you can see, understand and trust — framework plus a visual agent service
agentscope is an open-source ai agents project by agentscope-ai (agentscope-ai/agentscope on GitHub). It has 32,914 GitHub stars and 3,617 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 8 October 2026.
Decide what you want to achieve with agentscope and check the README on GitHub for requirements before installing.
Clone the repository from GitHub (or take the packaged install route in step 3 if the README offers one).
Follow the project's documented install commands — the Run section below lists the exact ones — and add any required API keys or models.
Work through the README's quickstart example end to end, then adapt it to your own project or data.
Build agents that reason and act with tools, with streamed output and human confirmation of tool calls built in.
Compose multiple agents into collaborative systems, a core design focus of the framework.
Topics and docs cover voice agents and realtime, multimodal interactions.
A ready agent service backend and web UI let you turn a script into a usable app quickly.
Connect external tools through the Model Context Protocol.
Clone and install in editable mode (uv pip install -e .) to hack on the framework itself.
Get the AgentScope source for the editable install and examples. The README clones the main branch; the command below gets the default branch, which is main.
git clone https://github.com/agentscope-ai/agentscope.git
cd agentscopeInstall in editable mode with uv (or install the released package with uv pip install agentscope).
uv pip install -e .
# released package alternative: uv pip install agentscopeRun the documented terminal chat example — streamed output, tool-call confirmation and Ctrl+C interruption included.
# see the Quickstart 'Agent' example in the README for the exact scriptagentscope is maintained by the agentscope-ai organization/account on GitHub, together with open-source contributors, in the public repository agentscope-ai/agentscope.
Yes — the code is open source under the Apache-2.0 license. You can use, modify and redistribute it under that license's terms.
AgentScope is free and open source, but agents need a model — you supply your own LLM API key (DashScope, OpenAI and others are supported) or a local model setup.
LangChain is a broader ecosystem; AgentScope focuses on agent runtime ergonomics — observability, interruption, multi-agent and voice — with a ready-to-serve app layer.
Clone the repository from GitHub, follow the install commands in the Run section (taken from the project's README), and complete the documented quickstart example before adapting it to your own use case.
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