FAgent is a versatile Python library designed to build, orchestrate, and evaluate AI agents powered by large language models. It provides abstractions for agent environments, tool integrations, and observability, enabling developers to customize agent behaviors, manage tasks, and monitor interactions. With support for flexible agent policies, memory systems, and plugin extensions, FAgent accelerates the development of autonomous conversational bots, task solvers, and simulation-driven AI workflows.
AI Platforms & Frameworks
Workflow Automation
Tool Libraries
#AI Agents
#modular architecture
#data collection
#LLM Integration
#memory management
#Observability tools
#custom tools
#workflow automation
#Performance Metrics
#Research Applications
#Autonomous Systems
#simulation evaluation
#plugin development
#development acceleration
#production deployment
#policy customization
#context retention
#monitoring solutions
#agent performance
#software prototyping
...
Promote this Tool
Update this Tool
FAgent
FAgent is a versatile Python library designed to build, orchestrate, and evaluate AI agents powered by large language models. It provides abstractions for agent environments, tool integrations, and observability, enabling developers to customize agent behaviors, manage tasks, and monitor interactions. With support for flexible agent policies, memory systems, and plugin extensions, FAgent accelerates the development of autonomous conversational bots, task solvers, and simulation-driven AI workflows.
AI Platforms & Frameworks
Workflow Automation
Tool Libraries
#AI Agents
#modular architecture
#data collection
#LLM Integration
#memory management
#Observability tools
#custom tools
#workflow automation
#Performance Metrics
#Research Applications
#Autonomous Systems
#simulation evaluation
#plugin development
#development acceleration
#production deployment
#policy customization
#context retention
#monitoring solutions
#agent performance
#software prototyping
...
Featured
What is FAgent?
FAgent offers a modular architecture for constructing AI agents, including environment abstractions, policy interfaces, and tool connectors. It supports integration with popular LLM services, implements memory management for context retention, and provides an observability layer for logging and monitoring agent actions. Developers can define custom tools and actions, orchestrate multi-step workflows, and run simulation-based evaluations. FAgent also includes plugins for data collection, performance metrics, and automated testing, making it suitable for research, prototyping, and production deployments of autonomous agents in various domains.
Who will use FAgent?
- AI researchers
- Software developers
- Product teams building chatbots
- Educational institutions exploring agent frameworks
How to use the FAgent?
- Step1: Clone the repository from GitHub.
- Step2: Install dependencies via pip install -r requirements.txt.
- Step3: Configure API keys for your chosen LLM provider.
- Step4: Define your environment and tool modules in Python.
- Step5: Create an Agent instance and attach policies and memory.
- Step6: Invoke agent.run() to execute tasks and workflows.
- Step7: Use built-in logger to observe actions and evaluate results.
Platform
- mac
- windows
- linux
FAgent's Core Features & Benefits
The Core Features
- Agent and environment abstractions
- LLM and tool integration
- Memory management for context
- Observability and logging
- Policy customization and plugins
- Evaluation and simulation toolkit
The Benefits
- Accelerates agent development
- Modular and extensible design
- Supports reproducible workflows
- Built-in monitoring and metrics
- Flexible integration with LLMs
- Ideal for research and production
FAgent's Main Use Cases & Applications
- Building conversational customer support bots
- Automating data retrieval and processing tasks
- Simulating multi-agent interactions for research
- Developing autonomous workflow orchestration
- Prototyping task-specific AI assistants
FAQs of FAgent
FAgent Company Information
- MXGao-A
FAgent Reviews
5/5
FAgent's Main Competitors and alternatives?
- LangChain Agents
- AutoGPT
- Haystack Agent
- Microsoft Guidance
- Llama-Agents
You may also like:
1.5M
14.58% AI design agent automates workflow creating images, videos, 3D models up to 10x faster.
1.2K
54.15% AI-driven chatbot for top OnlyFans creators.
325.8K
27.42% Aixbt is a tokenized AI Agent optimizing revenue across applications.
937
theGist AI Workspace unifies work apps with AI for improved productivity.
44.0K
11.03% Generate brand visuals and copy using AI to boost e-commerce sales.
1.4K
55.44% GPTConsole is an AI agent designed for streamlined conversation and task automation.
--
GenSphere is an AI agent that automates data analysis and provides insights for informed decision-making.
6.8K
63.82% Nullify automates the entire AppSec program for security teams using AI-driven solutions.
77.6K
18.77% Flowith is a canvas-based agentic workspace which offers free 🍌Nano Banana Pro and other effective models...
30.8K
21.51% Langbase is an AI agent that generates and analyzes natural language content efficiently.
719
36.79% AiTerm: AI Terminal Assistant converting natural language to commands.
--
Generate intriguing facts effortlessly with our AI-powered tool.
1.2K
100.00% Revolutionary AI that sees, hears, and communicates in real time.
17.9K
41.82% Automate your job applications and find the perfect job with AI technology.
413
100.00% Intellika AI enables seamless automation of data analysis and reporting for businesses.
--
ScholarRoll helps students find and apply for scholarships easily.
37.2K
68.25% OneReach AI simplifies interactions by automating customer engagement through intelligent messaging.
594
100.00% Phoenix AI Assistant helps streamline tasks using intelligent automation and personalized support.
8.6K
37.99% Refly.AI empowers non-technical creators to automate workflows using natural language and a visual canvas.
10.2K
60.68% Refly.AI empowers non-technical creators to automate workflows using natural language and a visual canvas.
--
AI-powered platform creating stunning, synchronized music videos with original audio and visuals.
2.6K
100.00% AI-powered copilot for efficient and effective email management.
2.1K
78.34% Hyperscience automates data extraction and document processing with AI-driven accuracy.
4.9M
20.59% Project Mariner is an AI agent designed for efficient data extraction and analysis.
5.5K
91.69% Potpie AI is an intelligent agent that automates document processing and management.
76.3K
19.45% Aviator Agents streamline workflows using AI-driven automation for various tasks.
--
Computer vision-based test automation and RPA tool for web and desktop apps.
381.3K
19.05% Clone, Design, and Create Expressive AI Voices in Seconds, with Perfect Sound Effects and Music.
2.3K
100.00% TensorStax is an AI agent specializing in optimizing machine learning deployment and management.
--
AI Library is a developer platform for building and deploying customizable AI agents using modular chains and tools.
--
A Python-based framework implementing flocking algorithms for multi-agent simulation, enabling AI agents to coordinate and navigate dynamically.
--
An open-source framework enabling autonomous LLM agents with retrieval-augmented generation, vector database support, tool integration, and customizable workflows.
--
An AI agent template showing automated task planning, memory management, and tool execution via OpenAI API.
--
Pipe Pilot is a Python framework that orchestrates LLM-driven agent pipelines, enabling complex multi-step AI workflows with ease.
--
Open-source repository providing practical code recipes to build AI agents leveraging Google Gemini's reasoning and tool usage capabilities.
--
RModel is an open-source AI agent framework orchestrating LLMs, tool integration, and memory for advanced conversational and task-driven applications.
--
An open-source framework implementing cooperative multi-agent reinforcement learning for autonomous driving coordination in simulation.
--
Python library with Flet-based interactive chat UI for building LLM agents, featuring tool execution and memory support.
69.6K
13.79% SharkFoto is an all-in-one AI-powered platform for creating and editing videos, images, and music efficiently.
--
Agentic Workflow is a Python framework to design, orchestrate, and manage multi-agent AI workflows for complex automated tasks.
--
A GitHub demo showcasing SmolAgents, a lightweight Python framework for orchestrating LLM-powered multi-agent workflows with tool integration.
--
A Python framework for easily defining and executing AI agent workflows declaratively using YAML-like specifications.
--
OpenSpiel provides a library of environments and algorithms for research in reinforcement learning and game theoretic planning.
245.5K
32.47% A Pythonic framework implementing the Model Context Protocol to build and run AI agent servers with custom tools.
--
pyafai is a Python modular framework to build, train, and run autonomous AI agents with plug-in memory and tool support.
--
LangGraph enables Python developers to construct and orchestrate custom AI agent workflows using modular graph-based pipelines.
--
A Python wrapper enabling seamless Anthropic Claude API calls through existing OpenAI Python SDK interfaces.
--
Agent Adapters provides pluggable middleware to integrate LLM-based agents with various external frameworks and tools seamlessly.
--
Java-Action-Storage is a LightJason module that logs, stores, and retrieves agent actions for distributed multi-agent applications.
3.8M
9.01% Skywork AI is an innovative tool to enhance productivity using AI.
--
LinkAgent orchestrates multiple language models, retrieval systems, and external tools to automate complex AI-driven workflows.