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OnDemand

The world's first decentralized agentic operating system

Monthly visits
12K
Added
Jul 30 2024

About OnDemand

OnDemand is a platform that enables building, connecting, orchestrating, and deploying intelligent agents from a single workspace designed for the entire agent lifecycle. It integrates models, tools, memory, and data sources in a decentralized, hardware-agnostic operating system for agentic AI. The platform aims to streamline the development and deployment of intelligent workflows across enterprises.

Playground lets users prototype agents in a live AI workspace, compose instructions, connect tools, and test models while watching how the agent executes tasks. The marketplace hosts specialized agents that can be added to a workspace, while artifacts, prompts, and memory help transform AI responses into reusable components. Users manage and evolve their agents within a unified environment.

The platform offers tools to connect agents to APIs, servers, and external services so agents can discover and invoke capabilities. It emphasizes the ability to bring your own models and endpoints, and deploy private endpoints with memory, tools, and persistent context. It also supports visual workflow orchestration and multi-agent coordination across processes.

OnDemand supports mobile access with apps on Android and iOS, enabling syncing of workspaces, prompts, and sessions between web and mobile, along with hands-free voice interactions and task completion notifications. The system presents an open ecosystem approach with APIs and enterprise connectors designed for privacy-first integrations and data sovereignty.

Use cases

  • Business automation: connect agents to APIs and enterprise systems to execute multi-step operational workflows
  • Customer experiences: deploy intelligence directly into digital products
  • Data and knowledge: combine semantic search, vector retrieval and long-term memory for context

Key features

  • Unified workspace for the entire agent lifecycle
  • Turn APIs and external services into reusable tools
  • Skills to share expertise across agents
  • Connect apps and data sources to agents
  • Branded embeddable AI experiences
  • Bring your own models and endpoints
  • One operating system for the entire agentic stack

Pros and cons

Pros

Unified, one-platform approach to building and deploying agents
Support for BYOM and BYOI with APIs

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