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Backend server for AGI OS - Awesome Gamer Insight Orchestrating System

agi-os.github.io

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Name		Name	Last commit message	Last commit date
Latest commit History 33 Commits
.devcontainer		.devcontainer
.vscode		.vscode
src		src
tests-examples		tests-examples
tests		tests
workers		workers
.env.template		.env.template
.gitignore		.gitignore
.prettierrc		.prettierrc
LICENSE		LICENSE
README.md		README.md
bullmqDashboard.cjs		bullmqDashboard.cjs
ecosystem.config.cjs		ecosystem.config.cjs
extractVideoId.js		extractVideoId.js
package.json		package.json
pg.js		pg.js
playwright.config.js		playwright.config.js
testJobs.llmToJson.js		testJobs.llmToJson.js
testJobs.youtubeSubtitles.js		testJobs.youtubeSubtitles.js

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Agent.js

Backend server for providing LLM Responses to the frontend AgentFlow UI.

We suggest copying the .env.template to a local .env file and using the link provided to generate a free Groq API key.

This way you can use AI agents completely free.

Starting

Optimal way is to open the project in VSCode as a Dev Container.

The boot process of the container will configure everything and start the server automatically.

You could also simply click the green button above and start CodeSpace which is an online DevContainer, but you will need to find and correct the Socket.io url in the frontend code, so it will connect to the right url.