# Conductai

> AI agent governance for teams.

- **Website:** https://github.com/sseshachala/conductai
- **Pricing:** open source
- **Categories:** Developer Tools, Design
- **Tags:** developer-tools, design, infrastructure
- **Platforms:** Windows, CLI
- **Last verified:** 2026-09-10
- **Canonical page:** https://linkrena.com/tools/conductai

## About

Runtime governance for AI agents — one policy enforces across every LLM call, every shell tool, every teammate's AI session.

Conduct Guard — the policy engine. Decides block / warn / audit / inject for every AI action before it executes, backed by signed configuration and a hash-chained audit log.

Conduct Router — the LLM proxy. Point any provider SDK (Anthropic, OpenAI, Perplexity) at Router and every request runs through Guard on the way to the upstream provider.

Runtime firewalls like Straiker and Lakera tell you what an agent did . Guard controls what an agent can do — with cryptographic proof.

Signed configuration — every workspace signs its active policy set. Every Guard check verifies the signature before enforcing. A tampered pack — pushed by anyone, at any layer — is rejected before it can decide anything.

Policy-first, not detection-first — rules decide before the action executes, with structured reasons. Not anomaly detection after the fact.

New here? Start with Discovery mode : read-only visibility into every AI action your team takes for 14 days. No policy to author, nothing to install upstream, no cost. When you're ready to enforce, promote a rule from what Discovery already saw.

Now every Claude Code, Cursor, Copilot, ChatGPT, or Codex session on that machine is governed by the same active packs.

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