agentscope and OpenAgentsControl
These are complements: AgentScope provides the core runtime engine for building and executing agents with interpretability, while OpenAgentsControl adds a governance layer on top with plan-first workflows, approval gates, and multi-language support for organizations that need controlled agent deployment.
About agentscope
agentscope-ai/agentscope
Build and run agents you can see, understand and trust.
Provides built-in support for ReAct agents, multi-agent orchestration via message hub, and ecosystem integrations including MCP (Model Context Protocol), A2A (Agent-to-Agent) protocol, and voice capabilities. Designed for model-centric reasoning rather than prompt-constrained workflows, with production deployment options including serverless, Kubernetes, and local execution with integrated OpenTelemetry observability.
About OpenAgentsControl
darrenhinde/OpenAgentsControl
AI agent framework for plan-first development workflows with approval-based execution. Multi-language support (TypeScript, Python, Go, Rust) with automatic testing, code review, and validation built for OpenCode
Implements pattern-driven code generation through editable markdown agent definitions and context files that encode team coding standards, reducing token usage by ~80% while maintaining consistency across multi-language projects. Built on the OpenCode framework with a 6-stage approval workflow (propose → approve → execute) and model-agnostic LLM support, featuring specialized subagents for context management, testing, code review, and external integrations that coordinate full-stack feature development.
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