Agents et multi-agents

Qwen-Agent — Tool-using and RAG agents

QwenLM/Qwen-Agent

Agent framework and applications built upon Qwen>=3.0, featuring Function Calling, MCP, Code Interpreter, RAG, Chrome extension, etc

Ouvrir le dépôt officiel ↗ Page d'accueil du projet ↗
★ 17KÉtoiles
⑂ 1,7KForks
525Problèmes ouverts
PythonLangue
Apache-2.0Licence
Q@project.QualityScoreScore éditorial

Captures d'écran du projet

Capture d’écran de Qwen-Agent — Tool-using and RAG agents Capture d’écran de Qwen-Agent — Tool-using and RAG agents

Vue d’ensemble

QwenLM/Qwen-Agent is an open-source project in ToolAI's Agents and multi-agent systems category. Agent framework and applications built upon Qwen>=3.0, featuring Function Calling, MCP, Code Interpreter, RAG, Chrome extension, etc The page is intended to help technical readers decide whether the project is worth a closer review; it is not an endorsement. The Python implementation and the repository owner QwenLM are recorded from the catalog metadata.

Fonctionnalités clés

  • Official repository maintained by QwenLM; the repository description identifies it as tool-using and rag agents.
  • Primary language recorded for this editorial entry: Python.
  • Repository statistics and links are shown as a dated metadata snapshot, so readers can re-check them before adoption.
  • The official README, releases and issue tracker remain the source of truth for installation and compatibility details.

Prérequis, installation et démarrage rapide

Requirements depend on the current official documentation. Start with the repository's README and pin a reviewed release before production use.

git clone https://github.com/QwenLM/Qwen-Agent
cd Qwen-Agent

Use the project's documented environment manager, model weights and optional accelerators. Do not copy commands from an unverified mirror; check the release notes and lock compatible dependencies first.

Utilisation

This page is an objective orientation for tool-using and rag agents. Read the official quick-start example, run it in an isolated environment, and record the exact commit or release used. For an agent or model workflow, keep tool permissions narrow, validate external inputs, and measure latency and quality on a representative test set. The repository's README and examples should be consulted for API details that may change.

Compatibilité des modèles et cas d’usage

The repository metadata describes the project scope but does not guarantee compatibility with every model, provider, checkpoint or accelerator. Confirm supported model identifiers, tokenizer versions, hardware requirements and license terms in the official documentation before connecting it to an LLM, agent, MCP server or RAG pipeline.

Licence et notes sur les risques

GitHub metadata reports the repository license as Apache-2.0. Review the repository LICENSE and any separate model, dataset, weight or third-party dependency terms before redistribution or commercial use. A missing or NOASSERTION license is not a grant of permission.

Editorial verification 2026-08-02: official repository URL, owner, description, license field and repository statistics were reviewed. License metadata: Apache-2.0. Re-check README, releases and dependency/model terms before production use.

Publication et maintenance

Snapshot: 16,845 stars, 1,677 forks and 524 open issues; repository creation is not stated and last pushed date is 2026-03-04 when supplied by the catalog. Check the official releases page for the current version rather than treating these numbers as a guarantee of maintenance or quality.

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