Tasking AI
TaskingAI is an AI platform and open-source Backend as a Service (BaaS) for building and deploying AI-native applications. Ideal for developers and technical teams, it helps rapidly create AI Assistants and LLM-powered applications with scalable, modular infrastructure.
July 11th, 2025
About Tasking AI
TaskingAI is an AI tool that helps developers build, deploy, and manage AI-native applications without complexity or rigid infrastructure. Operating as an open-source Backend as a Service (BaaS) for Large Language Model (LLM) development, it streamlines the creation of AI assistants, chatbots, and agents by providing unified APIs, customizable modules, and scalable project management.
Designed for flexibility, TaskingAI allows seamless integration of LLMs from various providers, supports Retrieval-Augmented Generation (RAG), and enables the use of custom tools, plugins, and local models through platforms like Ollama and LM Studio. Its modular structure decouples AI logic from client-side development, empowering teams to iterate rapidly while maintaining project control.
With features like memory systems, advanced knowledge retrieval, and a Python SDK, TaskingAI enables efficient development of AI assistants capable of reasoning, automating tasks, and delivering tailored support across internal tools or public-facing platforms.
TaskingAI is featured on Beyond The AI ā a trusted platform for comparing thousands of AI tools, updated regularly to help users discover powerful solutions for AI-native development.
š° Pricing
Starter
Free Trial
Basic features
Project setup, unified APIs
Pro: From $59/mo
Advanced capabilities
RAG, plugins, multi-tenant support
š Why Choose TaskingAI?
ā AI automation covers entire AI-native application lifecycle.
ā Developer-first platform simplifies building and scaling AI Assistants.
ā Transparent, scalable pricing supports growth from prototype to production.
ā Modular design enables flexible tool integration and rapid iteration.
ā Popular among AI engineers, startups, and teams building custom AI solutions.
š Discover Emergent and thousands of other AI tools on Beyond The AI - your trusted directory for AI solutions.
Designed for flexibility, TaskingAI allows seamless integration of LLMs from various providers, supports Retrieval-Augmented Generation (RAG), and enables the use of custom tools, plugins, and local models through platforms like Ollama and LM Studio. Its modular structure decouples AI logic from client-side development, empowering teams to iterate rapidly while maintaining project control.
With features like memory systems, advanced knowledge retrieval, and a Python SDK, TaskingAI enables efficient development of AI assistants capable of reasoning, automating tasks, and delivering tailored support across internal tools or public-facing platforms.
TaskingAI is featured on Beyond The AI ā a trusted platform for comparing thousands of AI tools, updated regularly to help users discover powerful solutions for AI-native development.
š° Pricing
Starter
Free Trial
Basic features
Project setup, unified APIs
Pro: From $59/mo
Advanced capabilities
RAG, plugins, multi-tenant support
š Why Choose TaskingAI?
ā AI automation covers entire AI-native application lifecycle.
ā Developer-first platform simplifies building and scaling AI Assistants.
ā Transparent, scalable pricing supports growth from prototype to production.
ā Modular design enables flexible tool integration and rapid iteration.
ā Popular among AI engineers, startups, and teams building custom AI solutions.
š Discover Emergent and thousands of other AI tools on Beyond The AI - your trusted directory for AI solutions.
Key Features
- Unified APIs provide access to hundreds of AI models from diverse providers.
- Developer-friendly UI Console for managing projects and in-console testing.
- BaaS-inspired workflow separates AI logic from client-side development.
- Supports customizable tools, plugins, and advanced Retrieval-Augmented Generation (RAG).
- Modular management of tools, RAG systems, language models, and agents.
- Multi-tenant support with fast, scalable deployment.
- Built-in memory system for conversational context and chat history.
- Integrates local models via Ollama, LM Studio, and Local AI.
Use Cases
- Building AI Assistants, chatbots, and LLM-powered applications.
- Rapid prototyping and testing of AI projects through the UI Console.
- Developing scalable, multi-tenant AI applications ready for production.
- Integrating AI capabilities like task automation and data analysis into existing tools.
- Creating AI applications that combine reasoning, knowledge retrieval, and real-time user interaction.
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