$ account agentscope-ai
AgentScope is a full-stack, production-grade multi-agent orchestration platform. The core library (`src/agentscope/`) provides a FastAPI-based agent service with CRUD endpoints for agents, sessions, credentials, channels, knowledge bases, schedules, and SOPs. It features a modular middleware onion pattern for agent lifecycle hooks (reply, reasoning, acting, tool execution), a pluggable storage abstraction (Redis, SQL with Alembic migrations, S3 blob store), and a message bus (in-memory or Redis) for inter-session communication and distributed coordination. The system supports real-time voice (WebRTC, DashScope/OpenAI/Gemini/xAI), RAG pipelines with document parsing and vector stores (Qdrant, Milvus, MongoDB, Elasticsearch), channel integrations (Feishu, DingTalk, Discord), and sandboxed workspace backends (Docker, Kubernetes, E2B, Daytona, Apple Containers, Bubblewrap, OpenSandbox). A full React/TypeScript web UI (`examples/web_ui/frontend`) provides chat, channel management, schedule calendar, knowledge base browsing, and MCP hub browsing. Additionally, a terminal console and a goal-oriented pipeline are provided for developer workflows. The framework emphasizes transparency, controllability, and separation between agent logic and infrastructure, supporting multi-agent collaboration, human-in-the-loop permissions, and long-term memory via ReMe and mem0 middleware.
AgentTeams is a production-grade multi-agent orchestration platform that manages teams of LLM-powered worker agents on Kubernetes. It uses a central Manager controller that reconciles Custom Resource Definitions (Worker, Team, Human, Manager) with container backends (Docker, K8s), a Matrix chat layer for all agent communication, and an AI Gateway (Higress) for credential isolation. The system supports multiple worker runtimes (OpenClaw, QwenPaw, Hermes, DeepSeek Harness) through a plugin architecture, provides a CLI tool (`agt`) for resource management, and includes human-in-the-loop oversight via Matrix rooms. Key features include STS token-based credential management, role-based authorization, audit logging, file synchronization via MinIO/OSS, and a skill discovery and distribution system. The codebase is heavily tested with unit, integration, and end-to-end tests, but shows moderate technical drift due to legacy runtime coexistence (CoPaw EOL migration) and some duplicated shell scripts across runtimes.