Best Artificial Intelligence Software for Vercel - Page 2
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Compare the Top Artificial Intelligence Software that integrates with Vercel as of December 2025 - Page 2
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This a list of Artificial Intelligence software that integrates with Vercel. Use the filters on the left to add additional filters for products that have integrations with Vercel. View the products that work with Vercel in the table below.
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1
AI Crypto-Kit
Composio
AI Crypto-Kit empowers developers to build crypto agents by seamlessly integrating leading Web3 platforms like Coinbase, OpenSea, and more to automate real-world crypto/DeFi workflows. Developers can build AI-powered crypto automation in minutes, including applications such as trading agents, community reward systems, Coinbase wallet management, portfolio tracking, market analysis, and yield farming. The platform offers capabilities engineered for crypto agents, including fully managed agent authentication with support for OAuth, API keys, JWT, and automatic token refresh; optimization for LLM function calling to ensure enterprise-grade reliability; support for over 20 agentic frameworks like Pippin, LangChain, and LlamaIndex; integration with more than 30 Web3 platforms, including Binance, Aave, OpenSea, and Chainlink; and SDKs and APIs for agentic app interactions, available in Python and TypeScript. -
2
Serval
Serval
Serval is an AI-native IT service management platform designed to automate help-desk requests, access management, and workflow building for modern teams. The solution supports natural-language input; users can describe the task they want automated, and Serval builds and deploys the workflow, presenting both a no-code UI and underlying editable code for technical teams to inspect. It handles help-desk resolution across Slack, Teams, email, or web portal; automates access requests (including just-in-time access, role-provisioning, deprovisioning, and custom policies) via integrations with identity providers and SSO systems; and surfaces analytics and insights on ticket volume, automation rate, SLA compliance, and team performance. The platform supports bi-directional sync with existing ticketing systems, pre-built workflows for faster deployment, and a public API for data integration. -
3
Pipedream
Pipedream
The fastest way to integrate APIs and run code. Pipedream is a serverless integration and compute platform that makes it easy to connect apps and develop event-driven workflows. Event sources turn any API into a real-time event stream. Create event sources to listen for new Tweets, Github events, Airtable records, RSS items, webhook events and more. Inspect events in a human-friendly way, trigger Node.js workflows on every event, or consume events in your own app via API. Workflows are composed of Node.js code steps that run on every event. Write your own Node.js (and use any npm package) or reuse actions that scaffold popular APIs. Trigger via sources or a custom URL, email address, SDK code or schedule. Auth apps once, connect to those apps in any workflow. Pipedream supports OAuth and key-based auth, and handles the OAuth flow and token refresh for you. Just link accounts to steps and reference the relevant auth info in code.Starting Price: Free -
4
GitFluence
GitFluence
The AI-driven solution that helps you quickly find the right command. Get started with Git command generator today and save time. Start by entering a description of what you want to accomplish with git into the web app's input field. Based on your description, the GitFluence will use its AI-driven solution to suggest the more relevant git commands. Now you can copy and paste it into your terminal or command line interface. -
5
FalkorDB
FalkorDB
FalkorDB is an ultra-fast, multi-tenant graph database optimized for GraphRAG, delivering accurate, relevant AI/ML results with reduced hallucinations and enhanced performance. It leverages sparse matrix representations and linear algebra to efficiently handle complex, interconnected data in real-time, resulting in fewer hallucinations and more accurate responses from large language models. FalkorDB supports the OpenCypher query language with proprietary enhancements, enabling expressive and efficient querying of graph data. It offers built-in vector indexing and full-text search capabilities, allowing for complex searches and similarity matching within the same database environment. FalkorDB's architecture includes multi-graph support, enabling multiple isolated graphs within a single instance, ensuring security and performance across tenants. It also provides high availability with live replication, ensuring data is always accessible. -
6
Meticulous
Meticulous
Meticulous is an AI-powered frontend testing platform that automatically generates and maintains visual end-to-end browser tests, eliminating the need for manual test creation and upkeep. By integrating a simple JavaScript snippet into development, staging, or preview environments, Meticulous records user interactions, capturing clicks, scrolls, and other events. These sessions are analyzed to build a comprehensive test suite that evolves alongside your application, ensuring coverage of every user flow and edge case. When a pull request is opened, Meticulous replays selected sessions on both the base and head commits, capturing visual snapshots after each event. These snapshots are compared to detect behavioral, logical, and visual changes, with results posted directly on the pull request for easy review. To ensure test reliability, Meticulous mocks backend responses, preventing side effects and eliminating the need for special test data setups. -
7
Ranger
Ranger
Ranger is a fast, reliable QA testing platform powered by AI and perfected by humans. It writes and maintains QA tests that find real bugs, enabling teams to keep moving forward. Ranger handles every facet of QA testing, saving customers over 200 hours per engineer annually and allowing for faster feature shipping. Its web agent navigates your site based on your testing plan, generating Playwright code, which is then reviewed by QA experts to ensure accuracy and readability. Ranger automatically triages test failures, with a team of QA Rangers performing comprehensive reviews to confirm real bugs. It maintains core flows and evolves tests as new features are launched, integrating seamlessly with tools like Slack, GitHub, and GitLab. Ranger is trusted by teams at OpenAI, Suno, Clay, and others, providing clear product signals and maintaining high engineering velocity. -
8
KaibanJS
KaibanJS
KaibanJS is a JavaScript framework for building and visualizing multi‑agent AI systems using a familiar Kanban‑style interface. After installing via npm or npx and importing core classes, you can define agent goals, tasks, and teams programmatically, then run workflows locally or deploy to platforms like Vercel or AWS, no vendor lock‑in thanks to its MIT license. A Trello‑like Kaiban Board transforms console logs into shareable, real‑time workflows, while its Redux‑inspired state management ensures consistent handling of agent states, tasks, and results. Built‑in observability captures every state change, tool call, and log for easy debugging and performance monitoring, and extensibility comes via integrations with major frameworks, multiple LLM providers, language‑chain‑compatible tools, and custom plugins. Lightweight and framework‑agnostic, KaibanJS lets JavaScript developers orchestrate, monitor, and iterate on complex agentic workflows. -
9
Incredible
Incredible
Incredible is a no-code automation platform powered by agentic AI models designed for real work across applications, letting users create AI “coworkers” that perform complex, multi-step workflows merely by describing tasks in plain English. These AI agents integrate with hundreds of productivity tools, CRMs, ERPs, email systems, Notion, HubSpot, OneDrive, Trello, Slack, and more to perform actions like content repurposing, CRM health checks, contract reviews, and content calendar updates without writing any code. Its architecture supports parallel execution of hundreds of actions with low latency and handles large datasets efficiently, dramatically reducing token limitations and hallucinations in data-critical tasks. The latest model, Incredible Small 1.0, is available in research preview and via API as a drop-in alternative to other LLM endpoints, offering high-precision data processing, near-zero hallucination, and enterprise-scale automation.
