LM-Kit.NET is a complete local AI runtime for .NET that lets engineering teams ship AI-powered features without cloud dependencies, per-token costs, or data leaving the network.
Most .NET AI integrations stop at inference. LM-Kit.NET covers the full range of capabilities production applications actually need: agentic workflows with tool calling, planning, and memory; document intelligence with OCR and structured extraction; retrieval-augmented generation with built-in vector storage; multilingual speech-to-text; vision and multimodal understanding; text analysis with classification, NER, PII extraction, and sentiment; and text generation with translation, summarization, and constrained output.
Ships in one NuGet package, runs in-process with no sidecar services, and works across all major hardware acceleration backends. Drop-in replacement for Semantic Kernel through its Microsoft.Extensions.AI compatibility layer.
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Files.com is a cloud-native Managed File Transfer (MFT) platform that unifies file transfers, sharing, and automation across any cloud, protocol, or partner. It connects 50+ storage systems — including Amazon S3, Azure, Google Drive, SharePoint, Dropbox, and Box — presenting them as a single seamless namespace.
Files.com supports SFTP, FTP/FTPS, AS2, HTTPS, WebDAV, and REST APIs, making it compatible with virtually any system or partner. Automated workflows eliminate manual scripts and reduce admin overhead by up to 90%.
Enterprise-grade security includes AES-256 encryption, SOC 2 Type II certification, HIPAA/GDPR compliance, full audit trails, SSO (Okta, Azure AD, and more), and 2FA. With a 99.99% uptime history and zero data breaches in 15 years, Files.com is trusted by IT teams in finance, healthcare, and technology.
Available via web, desktop (Windows/macOS), mobile (iOS/Android), and on-premises agent (Windows/macOS/Linux)
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syzkaller
syzkaller is an unsupervised coverage-guided kernel fuzzer. Supports FreeBSD, Fuchsia, gVisor, Linux, NetBSD, OpenBSD, and Windows. Initially, syzkaller was developed with Linux kernel fuzzing in mind, but now it's being extended to support other OS kernels as well. Once syzkaller detects a kernel crash in one of the VMs, it will automatically start the process of reproducing this crash. By default, it will use 4 VMs to reproduce the crash and then minimize the program that caused it. This may stop the fuzzing, since all of the VMs might be busy reproducing detected crashes. The process of reproducing one crash may take from a few minutes up to an hour depending on whether the crash is easily reproducible or non-reproducible at all.
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