lwyBZss8924d

8 mods across 1 repository, 136 stars between them.

agent-architecture

01

lwyBZss8924d/DeepSearchAgents

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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.

not rated 136 1y ago A 1,737 tokens original MIT

configuration

02

lwyBZss8924d/DeepSearchAgents

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DeepSearchAgent uses a flexible configuration system with multiple options for customization.

not rated 136 1y ago A 758 tokens original MIT

interfaces

03

lwyBZss8924d/DeepSearchAgents

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DeepSearchAgent provides multiple interfaces for different usage scenarios.

not rated 136 1y ago A 0 tokens original MIT

periodic-planning

05

lwyBZss8924d/DeepSearchAgents

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DeepSearchAgent v0.2.4 introduces periodic planning capability for both agent types, allowing strategic reassessment during complex search tasks.

not rated 136 1y ago A 0 tokens original MIT

project-overview

06

lwyBZss8924d/DeepSearchAgents

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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.

not rated 136 1y ago A 1,200 tokens original MIT

tools

07

lwyBZss8924d/DeepSearchAgents

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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.

not rated 136 1y ago A 1,166 tokens original MIT

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