Build AI.
Build Applications.
Build AI-powered applications, not just model calls.
BindAI brings agents, tools, workflows, memory, knowledge, model providers, APIs, integrations, and project-based architecture together in one Python framework.
AI applications, in Python.
BindAI is an open-source Python framework for building AI applications that need more than a language model. Instead of treating an AI system as a single prompt, BindAI provides the application-level building blocks around the model.
Build an assistant, automation system, document processor, knowledge-powered application, internal AI tool, or multi-agent workflow — while keeping the application structured as a reusable project.
BindAI is designed around the application. Agents are only one part of the system. Tools, knowledge, memory, workflows, APIs, integrations, and deployment all live within the same application architecture.
One application. Multiple building blocks.
A BindAI project brings the pieces of an AI application together instead of forcing them into unrelated layers.
Agents
AI agents that process requests, use tools, access application context, and produce useful results.
Tools
Python functions, APIs, external services, and application-specific business logic.
Knowledge
Documents, embeddings, retrieval, and knowledge sources for RAG-powered applications.
Memory
Stateful and conversational context for applications that need to remember information between interactions.
Workflows
Sequential, conditional, looping, parallel, retry, timeout, human-task, and scheduled execution patterns.
Projects
A structured home for configuration, agents, workflows, tools, knowledge, memory, templates, and application code.
Built for real application logic.
BindAI provides the framework components needed to move from an experiment to a structured AI application.
Provider-agnostic by design.
BindAI separates application logic from model-provider implementations. Switch providers without rewriting the structure of your application.
Provider support is designed to evolve independently from the core BindAI application architecture.
Connect AI to the systems you already use.
BindAI includes application connections for common business and developer services, allowing AI applications to interact with external systems.
Start with a project.
BindAI projects provide a simple structure for building applications while keeping the underlying components modular.
pip install bindai
bindai new my-ai-app
cd my-ai-app
python main.pyFrom there, add providers, agents, tools, workflows, knowledge, memory, APIs, and integrations as the application grows.
Python-first.
Keep your application logic readable and explicit.
from bindai import AgentBuilder
agent = (
AgentBuilder()
.from_project(".")
.build()
)
result = agent.run(
"Explain quantum computing in simple terms."
)
print(result.output)BindAI is designed so you can start small and progressively introduce tools, knowledge, memory, workflows, and external services without changing the fundamental project structure.
From Python project to service.
REST API
Run BindAI applications behind an HTTP API with authentication and endpoints for agents, workflows, projects, and runs.
Docker
Package and run BindAI applications using Docker and Docker Compose for a straightforward deployment path.
Automation
Execute application work through BindAI's automation and worker components for background execution patterns.
MCP Bridge
Connect external tools through BindAI's lightweight HTTP-based MCP bridge.
Built for developers building real AI software.
If you're building software where AI is part of a larger application — with business logic, tools, data, workflows, integrations, and APIs — BindAI is built for that problem.
Not sure where BindAI fits?
Ask an AI to explain it.
Ask an AI to explain BindAI, its architecture, use cases, and how it compares with other AI frameworks.
Core principles.
Open source from the beginning.
BindAI is being developed in the open. The framework, packages, examples, integrations, and documentation are designed to evolve with feedback from developers building real applications.
Growing with the ecosystem.
BindAI is an early-stage framework and is actively evolving. The current foundation focuses on making AI application development practical while leaving room for deeper runtime capabilities.
Build AI applications.
Start with Python. Add the pieces you need. Grow the application as your AI system becomes more capable.