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Sim - AI Agent Frameworks Tool

Overview

Sim is an open-source platform for building and deploying AI agent workflows. It supports cloud or self-hosted deployments and includes integrations for Ollama (local model hosting) and pgvector (embedding storage and vector search).

Key Features

  • Open-source platform for building AI agent workflows
  • Supports cloud and self-hosted deployment models
  • Integration with Ollama for local model hosting
  • pgvector support for embedding storage and vector search
  • Repository and documentation available on GitHub

Ideal Use Cases

  • Prototype and run autonomous AI agent workflows
  • Deploy agents in self-hosted or cloud environments
  • Integrate local LLMs via Ollama
  • Store and query embeddings with pgvector
  • Experiment with agent orchestration and automation

Getting Started

  • Open the Sim GitHub repository to view code and docs
  • Clone the repository to your development machine
  • Choose cloud or self-hosted deployment and plan infrastructure
  • Configure Ollama for local model hosting if required
  • Provision a pgvector-compatible database for embeddings
  • Review example workflows and adapt them to your needs
  • Run included examples and validate agent behavior
  • Deploy workflows to your chosen environment

Pricing

No pricing is disclosed in the project repository. Sim is open-source; hosting and third-party service costs are not included.

Key Information

  • Category: Agent Frameworks
  • Type: AI Agent Frameworks Tool
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