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GuardRails
Sentinel SCA
Microsoft Azure
Custodyn.app
LangChain
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Your AI agents make thousands of decisions per hour. Do you know what they're doing? Tork enforces policies, blocks dangerous tools, and requires human approval.
Which is more popular?
Based on our record, Tork.network seems to be more popular. It has been mentioned 1 time since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | tork.network | codegres.org |
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| Company | Startup from Australia · 1 - 9 employees · 2026 | — |
| Listed in |
In their own words, as submitted to SaaSHub.


Tork sits between AI agents and the tools they access, providing governance at the middleware layer. Every request gets scanned for PII (50+ patterns, 13 countries, ~1ms), checked against configurable policies, and logged with a cryptographic compliance receipt. Features: PII detection, policy...
No description of Codegres.org yet.
What each product offers, as listed by its team.


Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
Overall verdict
Why this product is good
Recommended for
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Tork.network and Codegres.org.
Tork.network's answer
Tork.network's answer
Tork is purpose-built as middleware — it sits between AI agents and the tools they call, not as a standalone audit tool. Every request gets PII detection (~1ms, 50+ patterns, 13 countries), policy enforcement, and a cryptographic compliance receipt. No other platform covers 79+ framework adapters across 6 languages with 3 lines of code to integrate.
Tork.network's answer
Most AI governance tools focus on model evaluation or bias detection after the fact. Tork operates in real-time at the middleware layer — intercepting, scanning, and enforcing policies on every agent interaction as it happens. It's framework-agnostic (LangChain, CrewAI, AutoGen, MCP, OpenAI Agents), open source (MIT), and has a generous free tier.
Tork.network's answer
Engineering teams deploying AI agents in production, compliance officers needing audit-ready evidence for HIPAA/GDPR/SOC 2, and security engineers managing PII exposure across autonomous AI workflows.
Tork.network's answer
Next.js, TypeScript, Supabase, Redis (Upstash), Vercel Edge Runtime. SDKs in Python, JavaScript, Go, Ruby, Rust, Java, PHP, .NET, Swift, Elixir, and Kotlin.
Tork.network's answer
We saw teams rushing AI agents into production with no governance layer. Agents were calling APIs, accessing databases, and handling user data with zero audit trail. Tork was built to be the seatbelt — not slowing agents down, but making sure every interaction is safe, compliant, and traceable.
Share your experience with using Tork.network and Codegres.org. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


Writeup: https://tork.network/blog/clawhub-scan-results Tork Network (https://tork.network) is an independent governance layer for AI agents — PII detection in ~1ms, compliance receipts, trust badges. Works with any MCP-compatible... - Source: Hacker News / 7 months ago
Tracking Codegres.org since Nov 2022.
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