AgentScope Java

AgentScope Java is a production-ready Java framework for building distributed, enterprise-grade agents with long-running, safely-controlled execution capabilities.

AgentScope Java 2.0 is a framework for developing distributed, enterprise-grade agents that handle long-running tasks. It enables the implementation of persistent identities, recoverable states, and bounded context management to maintain system stability. The framework includes abstractions for workspaces, memory, sandboxes, and sub-agent orchestration. It integrates with models like Qwen, OpenAI, Anthropic, Gemini, DeepSeek, and Ollama through unified extensions. Developers can define middleware and toolkits to handle business logic, logging, and permissions without altering the core reasoning loop.

AgentScope Java at a glance

Best for: Software engineer
Pricing: Free
Released: September 2025
Category: AI coding tool
Website: java.agentscope.io

Key features

Unified abstraction for Qwen, OpenAI, Anthropic, Gemini, DeepSeek, and Ollama
Middleware hooks for logging, tracing, and business policy injection
State recovery across processes using session IDs
Context compaction to manage long-term agent memory
Workspace abstraction for local, Docker, and E2B cloud sandboxes
Annotation-driven tool registration with MCP compatibility
Typed event streaming for model calls and tool results

Use it for

Building distributed, enterprise-grade agent systems
Implementing long-running agents with persistent state and memory
Orchestrating multi-agent tasks using sub-agent specifications
Integrating external tools and MCP servers into agent workflows

Alternatives to AgentScope Java

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AgentField — Provides an open-source control plane and coding agent stack for production.
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Agentloop — Provides a clean agent loop with provider-agnostic LLM access, hooks, and safety budgets.
Mindwalk — Visualize how coding agents explore and edit files on a 3D repository map.

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