agentscope vs Deft
agentscope: AgentScope is a production-ready, easy-to-use agent framework designed for increasingly agentic LLMs. It offers essential abstractions, built-in support for finetuning, and flexible multi-agent orchestration for various deployment environments.; Deft: Deft is a self-hostable, open-source workspace that integrates humans and AI agents in a shared environment for chat, tasks, knowledge, calendar, approvals, and receipts. It aims to unify fragmented tools like Slack, Notion, and task trackers, allowing AI agents to connect directly to the team's work record.
TL;DR
- You want composable Python 3.11+ building blocks (ReAct loop, toolkit, pipelines, A2A, realtime voice) with bilingual documentation.
- You use Chinese model providers (DashScope, DeepSeek, Volcengine) alongside global APIs under an Apache-2.0 license.
- You rely on v1.x AgentScope code and do not want to migrate to the redesigned v2.0 architecture.
- You need Python 3.10 or .NET support; AgentScope 2.0 requires Python 3.11+.
Team Collaboration with AI Assistance: Teams can manage projects, communicate, and share knowledge, with AI agents actively participating in the workflow.
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