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CodeFuse

CodeFuse AI Agent
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Overview

CodeFuse’s developer ecosystem includes muAgent for knowledge-graph-guided agent workflows.

CodeFuse brings together code models and developer tools. Its muAgent framework combines a knowledge graph, agents, callable tools, retrieval and code interpretation to run user-designed workflows. Developers can model standard operating procedures with task, tool and human-role nodes, then inspect execution through the visual interface.

Use the Docker-based services or Python SDK and configure the language and embedding models required by your workflow. Choose muAgent for custom agent workflows; the broader CodeFuse ecosystem also includes coding models and separate testing tools.

Product overview

Capabilities, pricing and fit

CodeFuse’s developer ecosystem includes muAgent for knowledge-graph-guided agent workflows.

Information as of October 14, 2026

What it can do

  • Knowledge-graph workflow

    Represent intentions, tasks, tools and human roles in a graph.[1], [2], [3]

  • Developer deployment

    Use containerized services or the Python SDK.[1], [2], [3]

  • Execution visibility

    Inspect and debug configured execution paths.[1], [2], [3]

Where it fits best

  • Building guided developer or operations workflows[1], [2], [3]
  • Combining knowledge retrieval with tool execution[1], [2], [3]

Pricing and availability

The muAgent repository provides source and deployment instructions rather than a hosted subscription quote. Review its license and the separate model licenses; budget for model inference, containers, storage and maintenance.[1], [2], [3]

Access: Developer-managed application or research environment.[1], [2], [3]

Sources (3)
  1. codefuse.ai — Product and availabilityOfficial site · checked 2026-10-14
  2. github.com — Documentation and product detailsOfficial site · checked 2026-10-14
  3. codefuse.ai — Documentation and product detailsOfficial site · checked 2026-10-14

Autonomy level

73/100

Our subjective rating of how independently the product carries out its documented tasks, considering the human setup, input, approval and review it needs. This is not a measured success rate.

Reasoning: CodeFuse muAgent can execute configured multi-step workflows using a knowledge graph, tools, retrieval and agent collaboration. People build the graph, register tools, supply models and data, and decide where human interaction is required. The score concerns that configured workflow layer, not the independent capabilities of every CodeFuse model or...

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Some of the use cases of CodeFuse:

  • Building guided developer or operations workflows
  • Combining knowledge retrieval with tool execution

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Popularity level: 66%

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