Tork.network
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Microsoft Azure
LangChain
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LangSmith
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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 enforcement, compliance receipts (HIPAA/GDPR/SOC 2), kill switch, and human-in-the-loop workflows.
11 SDKs across Python, JavaScript, Go, Ruby, Rust, Java with 79+ framework adapters including LangChain, CrewAI, AutoGen, OpenAI Agents, MCP, and more.
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Tork.network's answer
Tork.network's answer
Tork is purpose-built as middleware โ 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 โ 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 โ not slowing agents down, but making sure every interaction is safe, compliant, and traceable.
GitHub is an essential platform for modern software development. It makes it easy to host, manage, and collaborate on code while providing powerful tools for version control, project management, and team collaboration. Its large open-source community is another major strength, offering developers access to countless projects, resources, and opportunities to learn. Overall, GitHub is a reliable and professional platform that has become a fundamental part of the developer ecosystem.
Based on our record, GitHub seems to be a lot more popular than Tork.network. While we know about 2477 links to GitHub, we've tracked only 1 mention of Tork.network. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Writeup: https://tork.network/blog/clawhub-scan-results Tork Network (https://tork.network) is an independent governance layer for AI agents โ PII detection in ~1ms, compliance receipts, trust badges. Works with any MCP-compatible framework. Free tier available. - Source: Hacker News / 6 months ago
What I'd do differently Start with PyPI from day 1. I spent the first week telling people to pip install git+https://github.com/.... The friction was enormous. Once I published to PyPI, installation became pip install infra-lang โ 5 seconds instead of a paragraph of instructions. - Source: dev.to / 2 days ago
"""Clones a single branch of a GitHub repository into a temporary directory for local scanning.""" Import logging Import shutil Import subprocess Import tempfile Logger = logging.getLogger(__name__) Class RepoFetchError(RuntimeError): """Raised when the target repository/branch cannot be cloned.""" Class RepoFetcher: """Shallow-clones a single branch of a repository so its tests can be scanned... - Source: dev.to / 10 days ago
# video-meta.yml Topic: > Walking through how we cut cold-start time on a Lambda-backed GraphQL API from 2.4s to under 400ms, including the two things that didn't work. Target_keyword: lambda cold start optimization Audience: backend devs who already ship serverless, not beginners Model_channels: - the three channels currently ranking for this keyword Links: repo: https://github.com/... slides:... - Source: dev.to / 11 days ago
Import struct, json, urllib.request REL = "https://github.com/{owner}/{repo}/releases/download/{tag}/" PART = ["...part1.zip.001", "...part2.zip.002", "...part3.zip.003"] SIZE = [1992294400, 1992294400, 1893639808] # from the releases API Def grab(part, start, end, out): # HTTP range fetch req = urllib.request.Request(REL + PART[part], Headers={"Range":... - Source: dev.to / 16 days ago
Is published at https://github.com/.keys so an SSH server to which you connect could do a reverse lookup. This is the reason why my ~/.ssh/config has those 2 lines at the end:- Source: Hacker News / 23 days agoHost *.
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