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quantalogic

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Basic Information

QuantaLogic is a Python framework for building versatile AI agents that can code, automate workflows, and hold tool-enabled conversations. It provides a unified API and CLI to create and run agents in three primary modes: ReAct for iterative reasoning with tool use, CodeAct for making executable Python code the agent's primary action language, and Flow for YAML-defined structured workflows. The repository bundles a modular ecosystem of components—core ReAct agent, CodeAct extension, Flow engine, and a Toolbox for external integrations—plus a large set of built-in tools and a plugin system. It targets developers and teams who need to assemble LLM-powered agents that integrate code execution, web search, file operations and custom tools, while offering sandboxed execution and compatibility with multiple LLM providers.

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App URL
https://github.com/quantalogic/quantalogic
Github Repository
https://github.com/quantalogic/quantalogic/blob/main/README.md

App Details

Features
QuantaLogic ships three operational modes: ReAct for reasoning plus tool calls, CodeAct for agents that generate and execute Python code, and Flow for node-and-transition YAML workflows. It includes a unified Agent API and a CLI for tasks, chat, and model listing. Built-in capabilities include 40+ tools, Python code execution, web search, file management, smart memory to condense long context, event logging and real-time progress insights, Docker-based sandboxing for safer tool execution, async support, and a plugin/toolbox system for custom integrations. The project supports multiple LLM providers via integration layers and configuration, a Flow DSL for workflow templates, developer-focused docs and architecture guides, and example notebooks and CLI examples to accelerate adoption.
Use Cases
QuantaLogic helps teams and developers rapidly prototype and deploy LLM-driven agents for coding, data analysis, automation, and conversational interfaces. Its modular design lets users pick only needed components while preserving a simple import model, enabling quick CLI use or programmatic integration via Python. CodeAct lets agents produce verifiable, executable code for complex multi-step tasks, while Flow automates repeatable pipelines and Flow DSL simplifies orchestration. ReAct and Chat modes provide adaptive tool-enabled interactions for debugging, research, or Q&A. Built-in tools, smart memory, event hooks and Docker isolation aid reliability, observability and safe execution. Broad model support and examples lower setup friction for experimentation and scaling from single-user scripts to production workflows.

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