agentscope-ai
13 Tools
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.
Tools
Agent framework with built-in ReAct agents, multi-agent orchestration, voice support, and model finetuning.
Self-hosted personal AI assistant from AgentScope with chat-app integrations, deployable locally or in the cloud.
Agent-oriented programming framework for the JVM covering agents, message passing, and orchestration in idiomatic Java.
Memory-management kit for AI agents with episodic, semantic, and procedural stores plus retrieval and consolidation.
Evaluation framework that scores LLM quality with reward models and grader skills for RLHF and agent alignment.
Traces, debugs, and monitors multi-agent LLM systems through an OpenTelemetry-aware visual interface.
Curated skills for the AgentScope ecosystem and CoPaw apps, compatible with Claude Code and Cursor.
General-purpose Python framework for reinforcement fine-tuning of large language models, with RLHF support.
Runs agent apps in production, sandboxing their tools and exposing them through Agent-as-a-Service APIs.
UI component library for building agent interfaces for AgentScope and Alibaba Cloud Apsara Lab.
JVM port of the AgentScope runtime for deploying agents and running their tools inside a sandbox.
Multi-tenant fine-tuning framework for local LLMs with a Tinker-compatible API and support for SFT and RL training.
TypeScript implementation of the AgentScope framework for building multi-agent systems.