Aibot is an open-source Python CLI framework that lets developers create AI agents capable of multi-turn conversations, memory handling, and seamless integration with external tools via API.
AI Platforms & Frameworks
Workflow Automation
General Purpose Assistants
#AI-Chatbot-Framework
#Python chatbot development
#multi-model API integration
#persistent memory AI
#conversation management tools
#plugin integration
#customizable AI skills
#intelligent agents
#command line AI
#open-source chatbot
#dynamic response systems
#workflow automation
#AI task management
#knowledge retrieval bots
#capable chat agents
#flexible chatbot solutions
#Developer-friendly interface
#intelligent conversation agents
#API driven chatbots
...
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Aibot
Aibot is an open-source Python CLI framework that lets developers create AI agents capable of multi-turn conversations, memory handling, and seamless integration with external tools via API.
AI Platforms & Frameworks
Workflow Automation
General Purpose Assistants
#AI-Chatbot-Framework
#Python chatbot development
#multi-model API integration
#persistent memory AI
#conversation management tools
#plugin integration
#customizable AI skills
#intelligent agents
#command line AI
#open-source chatbot
#dynamic response systems
#workflow automation
#AI task management
#knowledge retrieval bots
#capable chat agents
#flexible chatbot solutions
#Developer-friendly interface
#intelligent conversation agents
#API driven chatbots
...
Featured
What is Aibot?
Aibot is an extensible AI agent framework in Python that provides a command-line interface to configure and run custom chatbots. It supports multi-model APIs (e.g., OpenAI, Anthropic), conversation history management, persistent memory, and plugin-based tool integration. Developers can define skills, workflows, and custom actions, enabling automated tasks, knowledge retrieval, and dynamic responses. With built-in commands for initialization, configuration, and execution, Aibot streamlines the development and deployment of intelligent conversational agents.
Who will use Aibot?
- Software developers building chatbots
- Data scientists prototyping AI assistants
- AI researchers experimenting with agent workflows
- Technical hobbyists exploring conversational AI
How to use the Aibot?
- Step1: Install Aibot via pip install aibot
- Step2: Set up your API keys in ~/.aibot/config
- Step3: Initialize a new agent with aibot init
- Step4: Define prompts, memory settings, and tool plugins in the config
- Step5: Launch the agent using aibot run
- Step6: Interact with the agent in the CLI or integrate via its Python API
Platform
- mac
- windows
- linux
Aibot's Core Features & Benefits
The Core Features
- Multi-model API support (OpenAI, Anthropic, etc.)
- Persistent memory and conversation history
- Plugin-based external tool integration
- Custom prompt and skill definitions
- Interactive CLI and Python API
The Benefits
- Rapid setup of AI agents
- Highly extensible and open-source
- Centralized memory and context handling
- Supports complex workflows and tasks
- No vendor lock-in; customizable plugins
Aibot's Main Use Cases & Applications
- Customer support chatbot with knowledge retrieval
- Personal productivity assistant automating tasks
- DevOps agent for executing CLI commands
- Research assistant querying external APIs
- Educational tutor providing interactive lessons
FAQs of Aibot
Aibot Company Information
Aibot Reviews
5/5
Aibot's Main Competitors and alternatives?
- LangChain
- AutoGPT
- AgentGPT
- Botpress
- Rasa
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