EvovexAI/EvoFlow
原生 Agent Runtime / 智能体员工 / 智能体编排 / 知识库 / 长任务。官网 www.evovexai.com
What it solves
EvoFlow is designed to handle long-running, complex tasks that typically exceed the capabilities of a single prompt or a simple chat interface. It provides a structured environment where tasks are first clarified and planned, then executed by collaborative agent teams, with built-in support for recovery from failure and human intervention.
How it works
The system operates as a native Agent Runtime and control plane. It manages the process of planning, decomposition, execution, and delivery. It utilizes isolated contexts for tool execution and sandbox environments for safe operations. The workflow includes a specific sequence: clarification and planning, followed by execution in isolated environments, and final acceptance/verification.
Who it’s for
It is aimed at users and developers who need to automate complex, multi-step business workflows or long-term goals that require coordination between multiple specialized AI agents (Agent Teams) and the ability to observe and intervene in the process.
Highlights
- Agent Teams: Supports multi-agent collaboration with defined roles, shifts, and approval/reporting mechanisms.
- Plan & Goal Modes: Allows for the creation of revisable plans for complex tasks and the ability to hang long-term goals in the background.
- Self-Evolution: Includes an asset center for experience accumulation, reflection processes, and memory management.
- Governance & Observability: Provides a full suite for cost tracking, operational monitoring, and isolated sandbox execution for tool calls.
- Extensibility: Supports MCP (Model Context Protocol) and custom skill extensions via a resource market.
- Code Indexing: Features a workspace with symbol and reference graphs for agent retrieval.
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