TryKosm

TryKosm / agentic-browser-ops-platform

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SomaOS Governance Gateway: API-key gated policy checks, approval routing, and replayable audit trails for AI workflow execution.

github.comTryKosmagentic-browser-ops-platform#readme agents ai ai-agents audit-trail browser-automation
15
0
100% credibility
Found May 05, 2026 at 15 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

This repository implements a governance gateway for AI agent workflows, providing policy-based decisions, human approval flows, and audit trails for actions like browser operations.

How It Works

1
🔍 Discover Safe AI Oversight

You hear about a helpful tool that adds safety checks and human reviews to keep AI assistants from making risky moves.

2
🛠️ Set Up Your Control Center

You easily get the safety system running on your computer to watch over your AI helpers.

3
🔗 Link Your AI Agents

Connect your AI workers so every action they want to take, like browsing or publishing, gets a quick safety scan.

4
AI Requests an Action
✅
Green Light

It's safe – the action goes ahead automatically.

👀
Needs Your Review

Flag for caution – you get to check and approve.

❌
Blocked

Too risky – stopped to protect your work.

5
👍 Give Your Okay

If needed, you quickly review details and approve so things can proceed safely.

6
📊 Review the Log

Check the full story of what happened, like a replay, to see every decision and step.

🎉 Safe and Controlled AI Work

Your AI agents now handle tasks reliably with built-in safeguards, approvals, and clear records of everything.

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Star Growth

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AI-Generated Review

What is agentic-browser-ops-platform?

This Python-based governance gateway adds API-key gated policy checks, approval routing, and replayable audit trails to agentic AI workflow execution, especially browser ops. Drop it in front of your autonomous agents to enforce deterministic decisions—allow, review-required, or blocked—before actions like publishing campaigns or exporting data run. Built on FastAPI, it spins up in seconds via uvicorn, with endpoints like POST /v1/evaluate-action and GET /v1/runs/{runId}/events, plus a lightweight Python SDK for clients.

Why is it gaining traction?

It turns governance into a simple API primitive, skipping the usual afterthought in agentic platforms—get risk scores, human-in-the-loop approvals, and full event replays without wiring up databases yourself. Devs dig the quickstart curl flows and in-memory audits that scale for prototypes, standing out from heavyweight compliance tools by focusing on agentic browser execution needs. The policy engine's tunable rules (PII checks, risky actions) hook teams prototyping governed AI fast.

Who should use this?

AI ops engineers building agentic browser automation for marketing bots or data exports, needing quick policy gates before execution. Teams running autonomous agents that touch sensitive ops like external emails or customer data, wanting approval workflows and audit replays without full observability stacks. Early adopters validating governance in Python AI pipelines before scaling.

Verdict

Worth a spin for agentic prototypes—15 stars and 1.0% credibility score signal raw potential, with solid docs and tests, but in-memory storage limits prod use until Postgres lands on the roadmap. Fork and extend if you need lightweight gateway controls now.

(198 words)

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