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LM-Kit.NETLM-Kit.NET is an enterprise-grade toolkit designed for seamlessly integrating generative AI into your .NET applications, fully supporting Windows, Linux, and macOS. Empower your C# and VB.NET projects with a flexible platform that simplifies the creation and orchestration of dynamic AI agents. Leverage efficient Small Language Models for on‑device inference, reducing computational load, minimizing latency, and enhancing security by processing data locally. Experience the power of Retrieval‑Augmented Generation (RAG) to boost accuracy and relevance, while advanced AI agents simplify complex workflows and accelerate development. Native SDKs ensure smooth integration and high performance across diverse platforms. With robust support for custom AI agent development and multi‑agent orchestration, LM‑Kit.NET streamlines prototyping, deployment, and scalability—enabling you to build smarter, faster, and more secure solutions trusted by professionals worldwide.
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StackAIStackAI is an enterprise AI automation platform that allows organizations to build end-to-end internal tools and processes with AI agents. It ensures every workflow is secure, compliant, and governed, so teams can automate complex processes without heavy engineering. With a visual workflow builder and multi-agent orchestration, StackAI enables full automation from knowledge retrieval to approvals and reporting. Enterprise data sources like SharePoint, Confluence, Notion, Google Drive, and internal databases can be connected with versioning, citations, and access controls to protect sensitive information. AI agents can be deployed as chat assistants, advanced forms, or APIs integrated into Slack, Teams, Salesforce, HubSpot, ServiceNow, or custom apps. Security is built in with SSO (Okta, Azure AD, Google), RBAC, audit logs, PII masking, and data residency. Analytics and cost governance let teams track performance, while evaluations and guardrails ensure reliability before production. StackAI also offers model flexibility, routing tasks across OpenAI, Anthropic, Google, or local LLMs with fine-grained controls for accuracy. A template library accelerates adoption with ready-to-use workflows like Contract Analyzer, Support Desk AI Assistant, RFP Response Builder, and Investment Memo Generator. By consolidating fragmented processes into secure, AI-powered workflows, StackAI reduces manual work, speeds decision-making, and empowers teams to build trusted automation at scale.
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ApifyApify provides the infrastructure developers need to build, deploy, and monetize web automation tools. The platform centers on Apify Store, a marketplace featuring 10,000+ community-built Actors. These are serverless programs that scrape websites, automate browser tasks, and power AI agents. Developers create Actors using JavaScript, Python, or Crawlee (Apify's open-source crawling library), then publish them to the Store. When other users run your Actor, you earn money. Apify manages the infrastructure, handles payments, and processes monthly payouts to thousands of active developers. Apify Store offers ready-to-use solutions for common use cases: extracting data from Amazon, Google Maps, and social platforms; monitoring prices; generating leads; and much more. Under the hood, Actors automatically manage proxy rotation, CAPTCHA solving, JavaScript-heavy pages, and headless browser orchestration. The platform scales on demand with 99.95% uptime and maintains SOC2, GDPR, and CCPA compliance. For workflow automation, Apify connects to Zapier, Make, n8n, and LangChain. The platform also offers an MCP server, enabling AI assistants like Claude to discover and invoke Actors programmatically.
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Description
Tabstack is a managed web extraction, research, and automation API designed to help developers build live-web features without maintaining browser infrastructure or scraping pipelines. Users can send a URL, structured schema, research question, or plain-language task and receive clean data, cited research, or completed web actions from a single API call. The platform includes endpoints for extracting schema-matched JSON, converting pages into clean Markdown, generating structured outputs, running cited research agents, and automating browser tasks. Tabstack handles the reasoning, rendering, schema enforcement, browser execution, and orchestration behind the scenes so teams can focus on building products instead of managing extraction systems. Its research endpoint reads the live web, selects sources, synthesizes answers, and returns citations on claims, making it useful for trustworthy research agents. Its automation endpoint can navigate, click, fill forms, and complete multi-step workflows on third-party sites, with interactive pauses when human input is needed. Tabstack also supports TypeScript and Python SDKs, MCP integration, CLI access, and streaming responses over SSE. Developers can use it for lead enrichment, competitive monitoring, knowledge base ingestion, workflow automation, booking flows, product data extraction, and in-app research. With privacy controls, no model training on user data, and plans ranging from free credits to enterprise quotas, Tabstack gives teams a practical backend for AI agents that need to understand and act on the web.
Description
Eve serves as a framework for creating agents, akin to how Next.js functions for web applications, offering a specialized environment for agent development. It employs Markdown to articulate instructions and skills, while TypeScript is utilized for implementing tools, ensuring durable execution by default. An agent is essentially a directory that outlines its instructions and skills using Markdown, defines tools through TypeScript, and facilitates deployment. Eve meticulously compiles this directory, orchestrates durable workflows, and integrates various channels, providing developers with a systematic approach to construct production-ready agents without the need to piece together disparate solutions. An instructions.md file can represent a fully functional agent, and the agent.ts file empowers teams to select a model or adjust the runtime configuration. Skills can be reused as Markdown playbooks that are loaded when needed, allowing the agent to receive targeted guidance without the burden of carrying unnecessary information in every prompt. Tools are introduced as TypeScript files, with their filenames serving as the tool names, eliminating the requirement for any registration process. Each agent operates within its own isolated sandbox and includes file tools, and there is also the option for custom sandbox configurations, enhancing flexibility for developers. This robust framework not only streamlines agent creation but also fosters innovation by allowing developers to focus on building unique functionalities.
API Access
Has API
API Access
Has API
Integrations
Markdown
Discord
Facebook Messenger
GitHub
Google Chat
HTML
JSON
Linear
Microsoft Teams
Next.js
Integrations
Markdown
Discord
Facebook Messenger
GitHub
Google Chat
HTML
JSON
Linear
Microsoft Teams
Next.js
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Mozilla
Founded
2025
Country
United States
Website
tabstack.ai/
Vendor Details
Company Name
Vercel
Founded
2015
Country
United States
Website
vercel.com/eve