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ekkolearnai/ekko-studio v0.8.15 — Local-First AI Workspace

ekkolearnai/ekko-studio is a local-first AI workspace that brings together conversations, coding, and visual work with multiple AI agents; the latest release is v0.8.15.

Repositoryekkolearnai/ekko-studio ↗

ekkolearnai/ekko-studio is a local-first AI workspace that brings together conversations, coding, and visual work with multiple AI agents; the latest release is v0.8.15.

GitHub description: Ekko Studio is a local-first AI workspace for multi-agent chat, coding, and visual workflows, available on desktop and the web.

stars
★ 11.7K
Forks
1.5K
Language
TypeScript
License
NOASSERTION
Latest release
v0.8.15
Read original source ↗View on GitHub ↗

ekkolearnai/ekko-studio is a local-first AI workspace that gathers conversations, coding, and visual work with multiple AI agents in one place. It is offered as a desktop app and a self-hosted web console. The latest confirmed release is v0.8.15, but the provided information contains nothing about what changed in this version, so the specific changes of this update cannot be asserted.

This project is a product that handles multiple coding agents within a single workspace. It states that it supports fourteen coding agent integrations, including Hermes Agent, and bundles not only chat but also group collaboration, voice, files, and device management. The README describes approval-gated automation flows and runtime configuration management, and presents both an npm package and a Docker image as deployment paths. It is written in TypeScript and focuses on managing multiple agents and ways of working from a single interface.

However, running agents requires installing the CLI on the backend host and configuring it per runtime. The README notes that its example workflows are not actual execution results, so behavior in a production environment cannot be confirmed from the documentation alone. The license is listed as NOASSERTION, and the terms of use are hard to judge from the provided information alone. Rather than rating it highly for the originality of its core algorithms or its operational quality, it is closer to an integrated workspace whose installation conditions and per-release change history need to be checked.