Sim - AI Agent Frameworks Tool

Overview

Sim is an open-source platform for building, testing, and deploying AI agents with a focus on self-hosting and production readiness. According to the GitHub repository, Sim integrates with local LLM runtimes such as Ollama and vLLM, provides a browser-based Web UI for authoring and interacting with agents, and uses pgvector-powered knowledge bases for vector search and retrieval. The project is intended for teams that want an on-premises agent framework combining local model hosting, vectorized knowledge ingestion, and tooling to iterate on agent behavior. The project emphasizes Docker-first deployment and support for common self-hosting stacks (PostgreSQL + pgvector for embeddings storage). With an Apache-2.0 license and active maintenance on GitHub, Sim targets developers and organizations who require full control over their agent infrastructure, offline model operation, and extensible knowledge bases. According to the repository, it includes components for agent orchestration, data ingestion into pgvector, a Web UI for experimentation, and connectors for Ollama and vLLM backends.

GitHub Statistics

• Stars: 25,131
• Forks: 3,133
• Contributors: 29
• License: Apache-2.0
• Primary Language: TypeScript
• Last Updated: 2026-01-09T07:36:56Z
• Latest Release: v0.5.55

Sim's GitHub repository shows strong community interest with 25,131 stars and 3,133 forks (according to the repository). There are 29 contributors and the project is licensed under Apache-2.0. The last recorded commit was on 2026-01-09, indicating active maintenance. The contributor count suggests a moderately sized core team and external contributions; the high star/fork numbers point to broad adoption and community attention.

Installation

Install via docker:

git clone https://github.com/simstudioai/sim.git

cd sim

docker compose up -d

Key Features

• Supports Ollama and vLLM as local LLM backends for offline or private model inference
• Browser-based Web UI for building, testing, and debugging AI agents
• pgvector-powered knowledge bases with vector search and document ingestion
• Docker Compose and self-hosting workflows for on-premises deployments
• Apache-2.0 licensed open-source codebase with community contributions

Community

Community engagement appears strong on GitHub: 25k+ stars and 3k+ forks indicate wide interest, while 29 contributors and ongoing commits (last on 2026-01-09) show active maintenance. Users typically interact via issues, pull requests, and repository discussions; project uptake suggests a mix of individual developers and teams adopting Sim for self-hosted agent deployments.

Key Information

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