agentscope-ai
14 Apps · 0 Intel
AgentScope is an open-source AI agent framework created and maintained by Alibaba's Tongyi Lab, Alibaba Group's AI research division. The project targets the full agent development lifecycle — from local prototyping to cloud-scale production — and is one of the more widely adopted multi-agent frameworks to emerge from a major cloud provider, with broad language support and a growing open-source ecosystem.
Apps
A production-ready framework for building, deploying, and managing AI agents with built-in ReAct agents, multi-agent orchestration, voice support, and finetuning capabilities. Designed to work with modern LLMs while providing essential abstractions for agent development.
Self-hosted personal AI assistant from AgentScope, easy to deploy locally or in the cloud, with chat-app integrations and extensible capabilities.
AgentScope's agent-oriented programming framework for the JVM — define agents, message passing, and orchestration in idiomatic Java.
AgentScope's memory-management kit for AI agents — episodic, semantic, and procedural memory stores with retrieval and consolidation.
Unified framework for holistic LLM evaluation and quality rewards, with reward models and grader skills for RLHF and agent alignment.
Development-oriented visualization toolkit for AgentScope. Trace, debug, and monitor multi-agent LLM systems with an OpenTelemetry-aware UI.
Curated collection of skills around the AgentScope ecosystem and CoPaw applications, compatible with Claude Code and Cursor.
General-purpose, scalable framework for reinforcement fine-tuning of large language models, with RLHF support.
Production runtime for agent apps with secure tool sandboxing, Agent-as-a-Service APIs, and full-stack observability.
UI component library for building AgentScope and Alibaba Cloud Apsara Lab agent interfaces.
Java runtime for deploying agents and running them inside a tool sandbox — the JVM port of the AgentScope framework.
TypeScript implementation of AgentScope, a framework purpose-built for multi-agent systems.
Multi-tenant fine-tuning framework for local LLMs with a Tinker-compatible API. Supports SFT and RL training.
A platform for running AI agents on real-time sports data and making predictions about game outcomes.