explaingit

mathhmadureira/orka

Analysis updated 2026-05-18

★ 0Audience · ops devopsComplexity · 3/5Setup · moderate

TLDR

A control layer that intercepts AI agent actions, checks them against policy rules, and logs everything to a tamper-evident audit trail.

Mindmap

mindmap
  root((ORKA))
    What it does
      Policy checks
      Risk scoring
      Human approval flow
      Audit ledger
    Tech stack
      FastAPI
      Next.js
      PostgreSQL
      SHA-256 ledger
    Use cases
      Require approval for large refunds
      Log every agent action
      Block risky agent behavior
    Audience
      Teams deploying AI agents
      Ops and compliance teams

Code map

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filefunction / class

What do people build with it?

USE CASE 1

Require human approval before an AI agent executes a high-risk action like a large refund.

USE CASE 2

Keep a tamper-evident audit trail of every action an AI agent takes.

USE CASE 3

Assign a dynamic risk score to each agent based on its execution history.

USE CASE 4

Connect agents that speak MCP, A2A, or plain REST to a single governance layer.

What is it built with?

FastAPIPythonNext.jsPostgreSQL

How does it compare?

mathhmadureira/orka0verflowme/alarm-clock0xhassaan/nn-from-scratch
Stars0—0
Language—CSSPython
Last pushed—2022-10-03—
Maintenance—Dormant—
Setup difficultymoderateeasymoderate
Complexity3/52/54/5
Audienceops devopsvibe coderdeveloper

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · moderate Time to first run · 30min

Currently private beta, requires requesting beta access and an API key to connect an agent.

No license information is provided in the README.

In plain English

ORKA is a governance and audit layer that sits between AI agents and the outside world. As AI agents become more autonomous, browsing the web, sending emails, calling APIs, processing payments, teams often have no visibility into what those agents are doing or any way to stop risky actions before they happen. ORKA addresses this by intercepting every action an agent tries to take and running it through a policy check before allowing execution. The flow is straightforward: your agent sends a request to ORKA instead of calling the target service directly. ORKA checks the action against configurable rules (for example, any refund above $500 requires human approval), calculates a dynamic risk score based on the agent's history, and either allows the action, blocks it automatically, or pauses it and sends a notification for a human to approve. Whatever happens is logged to a cryptographically chained audit ledger, meaning the records are tamper-evident and can be verified for integrity. A real-time dashboard shows all agents, their executions, risk scores, pending approvals, and blocked actions. ORKA supports connecting agents that use several common protocols: MCP (Model Context Protocol), A2A, and standard REST APIs. The backend is built with FastAPI (a Python web framework) and hosted on Render. The frontend is built with Next.js and hosted on Vercel. The database is PostgreSQL. The audit ledger uses SHA-256 hashing to chain entries together. ORKA is currently in private beta, free to use during the beta period, with no credit card required.

Copy-paste prompts

Prompt 1
Explain how ORKA intercepts an AI agent's action and decides whether to allow, block, or pause it.
Prompt 2
Walk me through registering an agent with ORKA and routing a request through the handover endpoint.
Prompt 3
What is ORKA's cryptographically chained audit ledger, and how does it stay tamper-evident?
Prompt 4
Show me an example policy rule that requires human approval for refunds over $500.
Prompt 5
What protocols (MCP, A2A, REST) can I use to connect my agent to ORKA?

Frequently asked questions

What is orka?

A control layer that intercepts AI agent actions, checks them against policy rules, and logs everything to a tamper-evident audit trail.

What license does orka use?

No license information is provided in the README.

How hard is orka to set up?

Setup difficulty is rated moderate, with roughly 30min to a first successful run.

Who is orka for?

Mainly ops devops.

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