AWorld
Search, understand, reproduce, and improve an idea with ease.
inclusionAI/AWorld is ranked 10,998 with 1,242 stars.
inclusionAI/AWorld is ranked 10,998 among these 8 peers; rohunvora/x-research-skill is ranked 10,991.
| Name | Rank | Metrics |
|---|---|---|
| firecrawl/web-agent | 10,976 |
|
| GreatScottyMac/RooFlow | 10,978 |
|
| hoangnb24/repository-harness | 10,981 |
|
| rohunvora/x-research-skill | 10,991 |
|
| cookjohn/zotero-mcp | 11,010 |
|
| supavec/supavec | 11,013 |
|
| refreshdotdev/web-eval-agent | 11,032 |
|
| Anionex/agent-vision-toolkit | 11,033 |
|
| Parameter | Value |
|---|---|
| Language | Python |
| Category | AI Engineering |
| Subcategory | Give agent tools, Build agent workflow (SDK) |
| Stars | 1,242 |
| Forks | 129 |
| Contributors | 44 |
| Created date | 2025-03-14 |
| Updated date | 2026-10-14 |
| Stars in 1 day | 0 |
| Stars in 7 days | 1 |
| Rank | 10,998 |
| Previous rank | 10,962 |
| Rank change | -36 |
| 7-day stars rank | 10,031 |
| Previous 7-day stars rank | 8,201 |
| 7-day stars rank change | -1,830 |
| Total stars rank | 9,433 |
| Previous total stars rank | 9,420 |
| Total stars rank change | -13 |
An agent's true power lies not in the model alone, but in its Agent Harness : the framework orchestrating its tools, memory, context, and execution. This is the AWorld Thesis : A powerful harness is not enough. True AI scaling is unlocked only when experts like you embed the invaluable knowledge, effectively building the gate in that wall. AWorld is the platform designed for this singular purpose. We provide a complete, battle-tested Harness as the recipe for you, the expert, to
forge your knowledge into a fleet of autonomous agents. Together, we move beyond AI's generic promise to create robust, precise applications that master your specific domain. From Expertise to Product See what happens when expert knowledge is encoded into reusable **Skills**. The creations below are orchestrated by the AWorld Agent, demonstrating our core scaling law: as the community contributes more expertise, the entire ecosystem becomes more powerful. From **one-prompt video generation** to **deep-search workflows**, each example turns specialized
know-how into repeatable production capability. Imagine what we'll build with *your* expertise. Install and Activate Install once, configure globally, and run anywhere. **Install AWorld-CLI** **Config & Launch** Once configured, simply type aworld-cli in your terminal to start your journey. Alternatively, you can configure by creating a file in your with your model and API settings. See AWorld CLI Configuration for the core variables. Automate Creation with AWorld-CLI AWorld-CLI goes beyond simple scaffolding. It acts as a
central brain, the AWorld Agent, which orchestrates a team of specialized sub-agents to build, evaluate, and even evolve other agents autonomously. This multi-agent system works in concert to turn your ideas into reality: Agent Name Role & Core Function 👑 AWorld Agent The Orchestrator : The central brain that interprets user goals, creates a plan, and delegates tasks to the appropriate sub-agents. It manages the entire workflow from start to finish. 🧑💻 Developer The Builder : The master craftsman responsible for writing
, debugging, and refactoring code. 🧐 Evaluator The Judge : The quality assurance expert. It assesses the Developer's output against objective criteria, providing the critical feedback required for the evolution loop. 🎬 Video Diffusion The Video Creator : A diffusion-model-based sub-agent (e. , Kling-V3) that generates videos from text or text+image inputs. 🎤 Audio Generator The Voice Creator : A TTS-model-based sub-agent that converts text input into speech audio. 🖼️ Image Generator The Image Creator : A sub-agent that generates images
from text or text+image inputs. The Evolution Loop: Build -> Evaluate -> Evolve Imagine you ask: *"Help me create an English word learning mini-app with a UI quality score above 0. "* **The Developer Builds**: The analyzes requirements and writes code (e. **The Evaluator Judges**: The inspects the output using our verified Skill. **The Loop Refines**: If the score is below target (e. 9), AWorld instructs the Developer to fix specific issues identified by the Evaluator. This loop continues until your
criteria are met. ***📹 See the Self-Evolution Loop in Action*** No Evaluation, No Evolution For an agent to improve, it
How many stars and forks are recorded?
inclusionAI/AWorld has 1,242 stars and 129 forks.
What is the repository rank?
inclusionAI/AWorld is ranked 10,998.
What language and category are recorded?
inclusionAI/AWorld has 1,242 stars, uses Python and belongs to AI Engineering.
Which repository is closest in rank?
inclusionAI/AWorld is compared with rohunvora/x-research-skill, ranked 10,991 with 1,244 stars.