Alibaba AgentScope
The open-source stack for developing, hosting & evolving agents
Quick Answer
AgentScope is an open-source stack for developing, evaluating, hosting, and evolving AI agents. It provides multi-language frameworks, memory management, and evaluation tools, with integrations across DingTalk, Feishu, WeChat, Discord, and Telegram.
AgentScope is an open-source framework for building, evaluating, hosting, and evolving AI agents, from personal assistants to autonomous workers. It provides multi-language frameworks, memory management, evaluation tools, and fine-tuning capabilities. The platform supports multi-model calls, tool boundaries with permissions, and a robust runtime system for complex tasks.
AgentScope offers a comprehensive open-source stack covering the entire agent lifecycle, from core framework development in multiple languages (Python, Java, TypeScript) to advanced features like reinforcement fine-tuning and multi-tenant local LLM fine-tuning infrastructure.
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Yes
Dimension Scores
· 4.5 avgHow good it is, across universal quality axes
Task Scores
· 7.5 avgWhat it can do, per category it works in · showing 10 of 10 tasks scoring 5+
Scores are AI-estimated from publicly available data — not an independent test or a verified user rating. How we rank →
- -The Go framework is still in progress ('On the way')
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The Model(s) Behind It
Model details — extracted from public vendor sources by our pipeline (AI extraction plus a source check) or admin-entered. Shown as claimed by the vendor; not independently audited by Intelloro.
Base Models
Give Claude, Codex, or any harness secure access to 1500+ tools
The Enterprise Agent Build & Runtime for the work your business runs on
Stop building workflows. Start hiring agents.
Experimental framework for a self-building autonomous agent
AI agents that start effortless conversations to drive growth
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Good
Based on 6 data signals
Confidence: High
Reflects publicly available data, not an independent audit
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Some details are AI-generated estimates — verify with the vendor.
AI-generated estimate: Best For, What Makes Unique
How we source dataAI Governance & Regulatory Disclosures
Legally-sensitive fields — extracted from public vendor sources by our pipeline (AI extraction plus a source check) or admin-entered. Shown as claimed by the vendor; not independently audited by Intelloro.
Switching & Migration
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Who It's For4 rolesSoftware DevelopersComputer ProgrammersWeb Developers+1 more
Platform, Content & Languages4 content types2 languagesCodeTextImageEnglishChinese+8 more
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Frequently Asked Questions
What can Alibaba AgentScope do?
Alibaba AgentScope can: Multi-language agent frameworks (Python, Java, TypeScript), Persistent memory management for agents (ReMe), Unified evaluation framework with 50+ judges (OpenJudge), Reinforcement fine-tuning for LLMs (Trinity-RFT). Best for: Developers building custom AI agents and multi-agent systems.
How much does Alibaba AgentScope cost?
Alibaba AgentScope is open source and free to self-host. Cloud hosting options may have separate pricing.
Is Alibaba AgentScope free?
Yes, Alibaba AgentScope is open source and free to self-host. Managed hosting may carry separate costs.
What makes Alibaba AgentScope unique?
AgentScope offers a comprehensive open-source stack covering the entire agent lifecycle, from core framework development in multiple languages (Python, Java, TypeScript) to advanced features like reinforcement fine-tuning and multi-tenant local LLM fine-tuning infrastructure.
Does Alibaba AgentScope have an API?
Yes, Alibaba AgentScope offers a public API for developers to integrate its capabilities into custom applications and workflows.
What platforms does Alibaba AgentScope support?
Alibaba AgentScope is available on CLI and web.
What languages does Alibaba AgentScope support?
Alibaba AgentScope supports 2 languages: English, Chinese.
Does Alibaba AgentScope work offline?
Yes, Alibaba AgentScope supports offline use — you can run it without an active internet connection.
Who is Alibaba AgentScope for?
Alibaba AgentScope is designed for Developers building custom AI agents and multi-agent systems; Research teams evaluating and fine-tuning LLMs for agentic applications; Enterprises integrating AI agents into Java applications.