agentic-flow
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AI agents runtime and meta-harness: routes each query to a cost-optimal model (LLM routing), evolves its own harness and orchestrates coding agents over MCP.
项目介绍
Freeze the model, evolve the harness. Agentic-Flow is an open agentic meta-harness: a runtime whose product is the harness around a model, not the model. It routes each query to the cost-optimal model, evolves its own harness and autonomously repairs code, then orchestrates 66 self-learning agents, 213 MCP tools, and multi-agent swarms on top.
Why a meta-harness? The measured lever in modern agentic systems is the harness, not a bigger model: a cheap model in a well-built, self-improving harness matches a frontier model at a fraction of the cost (see the DRACO/Darwin findings). Agentic-Flow is the open runtime that operates that harness.
Build systems, IDEs, and CI can drive orchestration…
最新指标
| 周下载量 | 140.7k | 2026-11-10 |
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