# darkninja

- **Event:** [Meta Global AI Developer Hackathon](https://cerebralvalley.ai/e/meta-ai-developer-hackathon)
- **When:** Oct 26, 12:00 PM – Nov 4, 9:00 PM (EST)
- **Where:** Online
- **Team:** [j Um](https://cerebralvalley.ai/u/dfourkNinja)
- **GitHub:** https://www.npmjs.com/package/kavrix
- **Demo video:** https://youtu.be/qZWO1Pp2LYM?si=8eixw2ySzy7_sI3J
- **Gallery:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/2498

Kavrix — Give AI Agents Access, Not Your Secrets.

AI agents are becoming powerful enough to write code, deploy applications, manage infrastructure, and operate developer tools. But there is a fundamental security problem: to perform these tasks, agents often receive unrestricted access to sensitive credentials through .env files, environment variables, or configuration files.

Once an AI agent can read a credential, developers lose control over where that secret might go, how it is used, or whether it is accidentally exposed.

Kavrix solves this problem.

Kavrix is an open-source, local-first credential vault and execution firewall designed for developers, applications, automation, and autonomous AI agents.

Instead of handing credentials directly to agents, Kavrix introduces a controlled execution layer between an AI agent and sensitive resources.

Core capabilities:

Encrypted Credential Vault: Securely store API keys, database passwords, access tokens, and other sensitive credentials using authenticated encryption. Secrets remain under the developer's control, with support for local storage or user-managed MongoDB.

AI Agent Credential Firewall: Launch agents without exposing vault keys or raw credentials. Agents request approved operations through a local credential broker.

Policy-Based Access Control: Restrict credential usage by executable, command, working directory, time limit, usage count, and confirmation requirements.

Temporary Access Grants: Authorize specific operations for a limited time or number of executions, with revocation support.

Process-Scoped Secret Injection: Supply credentials only to explicitly authorized child processes without placing plaintext in command-line arguments or temporary files.

Auditable Execution: Record security-relevant operations and authorization decisions without storing sensitive credential values in audit logs.

Developer-Friendly CLI and TUI: Manage vaults, credentials, policies, recovery, and execution through a terminal interface.

What makes Kavrix different?

Traditional secret managers focus primarily on securely storing and retrieving credentials. Kavrix extends credential management into execution-time authorization.

An AI agent can request permission to run a GitHub command, access a development database, or execute an approved deployment operation. Kavrix evaluates that request against explicit security policies before allowing the operation.

The agent never needs the underlying credential in its model context. The credential is made available only to the authorized process performing the operation.

Kavrix follows a simple principle: AI can request an action, but the security boundary must independently decide whether that action is allowed.

The goal is to make powerful AI automation practical without requiring developers to surrender control of their credentials.

Kavrix is open source and designed to work with existing developer workflows and AI agent ecosystems.

## More from Meta Global AI Developer Hackathon

- [NAVITAS](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/2495)
- [ZeroSpike](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/2496)
- [the pushh and the muse](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/2497)
- [SaySo](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/2499)
- [Bamalin](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/2500)
- [ostefani](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/2501)

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Markdown version of https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/2498. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt