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DeepSearchAgent implements two agent paradigms: "CodeAct Agent" & normal "ReAct Agent". Version 0.2.4.dev introduces comprehensive enhancements to both agent types with a focus on text chunking, prompt organization, and planning capabilities.
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DeepSearchAgent uses a flexible configuration system with multiple options for customization.
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DeepSearchAgent provides multiple interfaces for different usage scenarios.
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For LLMs to better code with Jina API.
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DeepSearchAgent v0.2.4 introduces periodic planning capability for both agent types, allowing strategic reassessment during complex search tasks.
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DeepSearchAgent is an intelligent agent system that combines the ReAct (Reasoning + Acting) framework and the CodeAct concept (executable code agents) to enable deep web search and reasoning capabilities.
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DeepSearchAgent features a comprehensive toolchain for web search, content processing, and analysis. These tools are designed to work with both the CodeAct and ReAct agent paradigms.
Instructions file
Instructions for lwyBZss8924d/DeepSearchAgents, covering claude.md, deepsearchagent project, development commands, common development tasks and install dependencies (with development tools).