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--- |
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title: Forge AI Agent |
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emoji: 🚀 |
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colorFrom: blue |
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colorTo: green |
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sdk: docker |
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sdk_version: 5.36.2 |
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python_version: 3.1 |
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app_file: app.py |
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--- |
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🧠 Forge: The Autonomous AI Software Engineer |
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Forge is an experimental AI agent that simulates autonomous software development. Given a high-level goal, the agent plans and executes tasks using a suite of tools accessible via the Model Context Protocol (MCP). |
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This demo showcases Forge's architecture and logic, integrated with a mock MCP server and a real-time Gradio interface. |
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🔍 How It Works |
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Define a Goal |
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Enter a high-level software task (e.g., "Build a Flask API for user signup"). |
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Planning Phase |
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A mock AI agent analyzes the goal and lists available tools, then generates a step-by-step execution plan. |
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Execution Phase |
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The Forge orchestrator runs each step in the plan by invoking appropriate tools via a mock MCP server. |
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Live Agent Feedback |
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The UI streams the agent’s decisions, actions, and intermediate results in real-time. |
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🧪 Local Development |
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To run Forge locally, you'll need to set up both the mock MCP servers and the Gradio interface. |
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1. Install Dependencies |
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bash |
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pip install -r requirements.txt |
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2. Start Mock MCP Servers (in a separate terminal) |
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bash |
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python mock_mcp_servers/run_servers.py |
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3. Launch the Gradio App |
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bash |
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python app.py |
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🚧 Notes |
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The current agent logic is mocked for demonstration. |
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The system is modular and can be extended to use real tools, LLMs, and dynamic backends. |
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This project uses Gradio 5.36.2 and Python 3.10. |
