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Jev Social

Local Instagram, TikTok, and LinkedIn research app where Jev makes confidence-gated typed choices over the platform and next socai operation, while deterministic Node code validates each decision and the socai CLI performs read-only browser capture.
Stars
173
Language
JavaScript
License
MIT
Reading time
3 min
Published by
Community
Author
socai-io
Last verified
Sep 2026

socai-io/jev-social

Organization repository on GitHub

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Open-source, local-first social media research agent for Instagram, TikTok, and LinkedIn. Jev routes read-only steps; socai CLI captures cited browser evidence.

Forks
37
Last pushed
Updated Oct 2026

Repo stats from the GitHub API, cached Oct 2026.Homepage

About this project

Turn Instagram, TikTok, and LinkedIn into source-cited reports through your own browser. Jev chooses each next operation: search, open a particular post or profile, read comments, explicitly requested TikTok media download, or finish. The local socai CLI executes the selected command in your real Chrome. Each result goes back to Jev before the next decision.

Quoted from the project's README. Read the full README.

Highlights

  • Jev chooses the platform and each next read-only socai operation, including which post or profile to open.
  • Deterministic Node code validates every choice; unsupported, malformed, and low-confidence decisions do not execute.
  • Stores each choice, confidence, command, result summary, and elapsed time for every run.
  • The recorded Instagram run produced four source-linked records in 63.969 seconds.
  • Login gates, decision failures, and step limits produce partial results rather than a success claim.

Quickstart

bash
npx github:socai-io/jev-social#v0.1.4 onboard
npx github:socai-io/jev-social#v0.1.4

Watch out

MIT-licensed. Needs Node 20+, an OpenRouter key with Jev access, and a current socai CLI; the published timings are individual local observations, not a benchmark.

Questions about this entry

Short answers drawn from the linked project or page.

Reactions & coverage

Posts, threads, and videos about this entry from around the web.

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