Turn the agent CLIs you already use into shared services your whole team can call. Natural-language-driven agent orchestration for Claude Code, Cursor Agent, and OpenAI Codex.
Turn the agent CLIs you already use into shared services your whole team can call.
Describe an Agent in plain language, bind a model provider, publish it to Feishu, Slack, Discord, an HTTP API, or a schedule. No flowcharts, no glue code.
Core Concepts · Project Guide · Contributing · Security
a2wave turns the agent CLIs you already use — Claude Code, Cursor Agent, OpenAI Codex, and more — into shared, governed services, reachable from Feishu, Slack, Discord, an HTTP API, or a schedule.
Describe an Agent in natural language, bind a model provider, extend it with Skills and MCP servers, publish. a2wave handles credential injection, run queueing, audit trails, permissions, and delivery.
a2wave orchestrates; it does not execute. No bundled LLM inference, no sandbox runtime, no drag-and-drop DAG editor — execution comes from the underlying CLIs, and orchestration is written in natural language. These boundaries are enforced; see the Iron Rules.
a2wave Workflow builders (n8n, Dify, Flowise) A bare agent CLI ------------ How logic is expressed Natural language Nodes, edges, variable mapping Natural language Who can run it Your whole team, via the channels they already use Whoever opens the builder Whoever has the terminal Model execution Your existing CLI + your credentials Vendor-managed runtimes Local only Governance Per-Agent permissions, audit trail, run queue Varies None
Pick a2wave when your team already trusts an agent CLI and needs to share it — with access control, an audit trail, and delivery into Feishu or Slack — rather than rebuild its reasoning as a graph.
From the project README.
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