# OrbitAI

> Multi-agents that organize, create, and collaborate. For consumers. For developers. For the future.

## Docs

- [Inputs](https://docs.tryorbitai.com/Inputs.md): Dynamic parameterization system for OrbitAI workflows using placeholders, metadata, and interpolation.
- [LLMs](https://docs.tryorbitai.com/LLMs.md): Comprehensive guide to integrating and managing Large Language Models in OrbitAI applications
- [Outputs](https://docs.tryorbitai.com/Outputs.md): Result structures and formats from task execution, agents, and orbits in OrbitAI workflows.
- [Agents](https://docs.tryorbitai.com/agents.md): Autonomous AI entities with specific roles, capabilities, and tools for executing complex tasks.
- [Create Plant](https://docs.tryorbitai.com/api-reference/endpoint/create.md): Creates a new plant in the store
- [Delete Plant](https://docs.tryorbitai.com/api-reference/endpoint/delete.md): Deletes a single plant based on the ID supplied
- [Get Plants](https://docs.tryorbitai.com/api-reference/endpoint/get.md): Returns all plants from the system that the user has access to
- [New Plant](https://docs.tryorbitai.com/api-reference/endpoint/webhook.md): Information about a new plant added to the store
- [Introduction](https://docs.tryorbitai.com/api-reference/introduction.md): Example section for showcasing API endpoints
- [Guardrails](https://docs.tryorbitai.com/guardrails.md): Ensure safe, compliant, and reliable agent behavior with comprehensive validation and safety mechanisms.
- [Overview](https://docs.tryorbitai.com/index.md): A comprehensive `Swift` framework for building AI-powered applications with **autonomous multi-agents** that create, organize, and collaborate.
- [Installation](https://docs.tryorbitai.com/installation.md): Install and configure the **OrbitAI** Swift SDK for building AI-powered applications with autonomous multi-agents.
- [Knowledge Base](https://docs.tryorbitai.com/knowledge-base.md): Empower agents with domain knowledge through document ingestion, semantic search, and RAG capabilities.
- [Memory](https://docs.tryorbitai.com/memory.md): Enable agents to remember context, learn from interactions, and maintain knowledge across sessions.
- [Orbits](https://docs.tryorbitai.com/orbits.md): The orchestration layer that coordinates agents and tasks into complete, intelligent workflows.
- [Processes](https://docs.tryorbitai.com/processes.md): Orchestration patterns that define how tasks are executed and coordinated across agents in OrbitAI workflows.
- [Quickstart](https://docs.tryorbitai.com/quickstart.md): Build your first AI agent workflow with OrbitAI in minutes - from setup to execution.
- [Tasks](https://docs.tryorbitai.com/tasks.md): Fundamental execution units in OrbitAI with defined requirements, constraints, and expected outputs.
- [Telemetry](https://docs.tryorbitai.com/telemetry.md): Monitor, measure, and optimize agent performance with comprehensive metrics and analytics.
- [Tools](https://docs.tryorbitai.com/tools.md): Extend agent capabilities with built-in and custom tools for real-world interactions and specialized functionality.

## OpenAPI Specs

- [openapi](https://docs.tryorbitai.com/api-reference/openapi.json)

## Optional

- [Documentation](https://docs.tryorbiai.com)
- [Blog](https://blog.tryorbiai.com)