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NewAI agents

simstudioai/sim v0.9.29 — A workspace for building agents and workflows together

A rundown of v0.9.29 of simstudioai/sim, a collaborative workspace for building, deploying and managing AI agents and workflows, along with the parts that could not be verified.

Repositorysimstudioai/sim ↗

A rundown of v0.9.29 of simstudioai/sim, a collaborative workspace for building, deploying and managing AI agents and workflows, along with the parts that could not be verified.

GitHub description: Sim is the collaborative workspace to build, deploy, and monitor AI agents and workflows. Used by 100,000+ builders.

stars
★ 29.9K
Forks
3.9K
Language
TypeScript
License
Apache-2.0
Latest release
v0.9.29
Read original source ↗View on GitHub ↗

simstudioai/sim is a collaborative workspace for building, deploying and managing AI agents and workflows. An agent is software that carries out tasks on its own according to set instructions. This repository provides a frame in which several people can build such executions together and watch them run. The latest release is v0.9.29, written in TypeScript and published under the Apache-2.0 license. It has 29856 stars, and the repository was created on January 5, 2025.

The README states that the workspace supports more than 270 integrations, including Slack, Notion, HubSpot and Salesforce, as well as connections to major LLMs. Files, knowledge bases and structured table data can be used as inputs, and runs, logs, schedules and workflow activity can be checked in one place. It is used in three ways: the sim.ai cloud service, self-hosting with npx sim-setup, and a macOS desktop app. The repository description says that more than 100,000 builders use it.

That said, what v0.9.29 actually changed is not contained in the given material. There is no matching release-note entry, so it is hard to know what you gain by adopting or upgrading to this version. There are no benchmark figures either: the only evaluation score filled in is Momentum 4.0 (out of 10), while the originality, technical and quality scores are blank. So this repository is close to a subject for trying out an agent execution flow that ties several services together yourself, and is not yet a tool to treat as a decisive choice without performance evidence.