Best Artificial Intelligence Software for Linear - Page 6

Compare the Top Artificial Intelligence Software that integrates with Linear as of July 2026 - Page 6

This a list of Artificial Intelligence software that integrates with Linear. Use the filters on the left to add additional filters for products that have integrations with Linear. View the products that work with Linear in the table below.

  • 1
    String.com

    String.com

    Pipedream

    String is the first text-to-agent platform by Pipedream that lets you prompt, run, edit, and deploy AI agents in seconds, no drag-and-drop canvases, just natural language commands that generate production-ready code. Backed by Pipedream’s five years of experience building thousands of app integrations and Internet-scale agent infrastructure, String connects to over 2,700 APIs and embeds 10,000+ tools with managed authentication, so your agents can solve ten times more use cases than typical no-code builders. The intuitive web interface guides you through creating agents that monitor GitHub issues and automate ticket creation, schedule meetings, analyze data, send Slack messages, post to social media, update databases, and much more, all with full audit trails, customizable queues, and built-in data stores. Real-time dashboards display agent performance, logs, and metrics, while built-in security and privacy controls (SOC 2 Type II, ISO 27001, HIPAA, GDPR) ensure safe operation.
  • 2
    Devplan

    Devplan

    Devplan

    Devplan is an AI-powered workspace that turns product ideas into execution-ready plans with minimal overhead. It connects to GitHub, Linear, and web context to generate detailed PRDs, user stories, tech designs, and AI-executable prompts. Devplan learns your codebase, product goals, and market to deliver context-aware, IDE-ready instructions. With built-in collaboration, roadmap prioritization, and CLI integration, teams can plan and ship up to 3× faster. Simple pricing at $10/mo (billed annually) with a 14-day free trial.
    Starting Price: $15/month
  • 3
    Rube

    Rube

    Rube

    Rube is a universal MCP (Model Context Protocol) server that enables AI chat clients to perform real-world actions across 500+ applications, including Gmail, Slack, GitHub, Notion, and more. Once installed, users authenticate their apps just once, and then, via natural language within their AI chat, they can instruct Rube to execute tasks like sending emails, creating tasks, updating databases, or posting updates. It intelligently manages authentication, API routing, and context handling behind the scenes, allowing for seamless multi-step workflows, such as fetching data from one app and sending it to another, without manual setup. Rube supports both individual and team use: shared connections let teammates access apps through a single, unified interface, while integrations persist across different AI clients. Built on Composio’s secure infrastructure, Rube ensures encrypted OAuth flows and SOC‑2 compliant practice, all wrapped in a streamlined, chat-first automation experience.
  • 4
    Auggie CLI

    Auggie CLI

    Augment Code

    Auggie CLI brings Augment’s intelligent coding agent directly into your terminal by leveraging its powerful context engine to analyze code, make edits, and execute tools both interactively and within automated workflows. Developers can install it via npm (requiring Node.js 22+ and a compatible shell), then launch a full-screen interactive session using auggie, complete with real-time streaming, visual progress, and conversational tooling, for debugging, feature development, PR review, or triaging alerts. For automation, Auggie offers streamlined modes ideal for CI/CD pipelines and background tasks. The CLI also supports custom slash commands for repeatable workflows, integrates with external tools and systems via native integrations and Model Context Protocol (MCP) servers, and can be scripted in pipelines or GitHub Actions for tasks like auto-generating PR descriptions.
  • 5
    Incredible

    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.
  • 6
    Poke

    Poke

    The Interaction Company

    Poke is a proactive AI assistant built by The Interaction Company designed to live inside existing messaging platforms (like iMessage, WhatsApp, SMS) rather than asking users to switch to new apps; it integrates with users’ email, calendar, and files to turn messages into action (e.g. drafting replies, rescheduling meetings, paying invoices) through short, conversational bubbles. The experience aims to feel natural; messages are brief, there are typing and read indicators, one-tap actions, and memory of context, so the assistant can behave more like a human conversational partner than a typical chatbot. It focuses on privacy and security, built to meet SOC-2 and CASA Tier-2 standards. Poke recently raised ~$15 million in seed funding, with a valuation of ~$100 million; early adopters (around 6,000 testers) have already been using it heavily in iMessage, sending on average tens of thousands of messages per month.
  • 7
    Amazon Quick Suite
    Amazon QuickSuite is a unified generative-AI and analytics workspace designed to help business users, analysts, and domain experts turn data, workflows, and internal knowledge into actionable insights and automation. The platform brings together multiple capabilities; interactive dashboards and visualizations (leveraging the existing QuickSight service), natural-language Q&A and generative BI, workflow automation, deep data discovery and research agents, and connector support for enterprise systems and SaaS tools. From a data perspective, QuickSuite enables users to connect multiple data sources, spreadsheets, cloud warehouses, third-party apps, and on-premises systems, and ask questions in plain language, build dashboards, schedule reports, or trigger automations. From a workflow perspective, it allows non-technical roles to automate routine tasks, such as report generation, alerting, or data onboarding, through agent-powered flows.
  • 8
    MintMCP

    MintMCP

    MintMCP

    MintMCP is an enterprise-grade Model Context Protocol (MCP) gateway and governance platform that provides centralized security, observability, authentication, and compliance controls for AI tools and agents connecting to internal data, systems, and services. It lets organizations deploy, monitor, and govern MCP infrastructure at scale, giving real-time visibility into every MCP tool call, enforcing role-based access control and enterprise authentication, and maintaining complete audit trails that meet regulatory and compliance needs. Built as a proxy gateway, MintMCP consolidates connections from AI assistants like ChatGPT, Claude, Cursor, and others to MCP servers and tools, enabling unified monitoring, blocking of risky behavior, secure credential management, and fine-grained policy enforcement without requiring each tool to implement security individually.
  • 9
    Momo

    Momo

    Momo

    Momo is an AI-augmented workplace memory platform that automatically builds a centralized, searchable company memory by connecting to a team’s existing productivity and communication apps such as Gmail, GitHub, Notion, and Linear, capturing work context, decisions, ownership, and ongoing work without manual note taking or daily status updates. It continually listens to activity and events across integrated apps to extract structured context and relationships between projects, customers, tasks, and decisions, keeping this live memory up to date so teams can search and visualize progress, dependencies, and historical context in one place. By eliminating the need to repeatedly ask what teammates did or to hunt through threads for decisions buried in conversations, Momo helps remote teams, cross-department collaborators, and distributed workforces reduce friction, accelerate onboarding, and maintain coherent context across workstreams.
  • 10
    Town

    Town

    Town AI

    Town is an AI productivity assistant designed to connect with a user’s existing workplace tools and perform real operational tasks across email, documents, scheduling, and workflows from a single interface. It acts as a unified assistant that integrates with services such as Gmail, Google Calendar, Slack, Notion, Google Drive, and project management tools to coordinate work across them automatically. Instead of switching between applications, users can ask Town to triage their inbox, draft responses in their personal writing style, organize information, manage meetings, and execute multi-step workflows across connected tools. It analyzes incoming email threads, identifies urgent messages and deadlines, archives newsletters, and organizes remaining emails by priority while generating suggested replies that reflect the user’s voice and context.
  • 11
    eve

    eve

    Vercel

    Eve is the framework for building agents, like Next.js for web apps, but for agents. It uses Markdown for instructions and skills, TypeScript for tools, and durable execution by default. An agent is a directory that defines instructions and skills in Markdown, tools in TypeScript, and then deploys. Eve compiles the directory, wires up durable workflows, and connects channels, giving developers a structured way to build production agents without gluing together point solutions. An instructions.md file can be a complete agent, while agent.ts lets teams choose a model or configure the runtime. Reusable skills are Markdown playbooks loaded when relevant, so the agent gets focused guidance without carrying everything in every prompt. Tools are added as TypeScript files, with the filename becoming the tool name, and no registration is required. Every agent includes an isolated sandbox and file tools, with support for custom sandbox setup.
  • 12
    Relevance AI

    Relevance AI

    Relevance AI

    Relevance AI is a leading platform that empowers businesses to build and manage autonomous AI agents and multi-agent teams, enabling the automation of complex tasks across various functions such as sales, marketing, customer support, research, and operations. With a user-friendly interface, organizations can create AI agents without coding, customize them to follow specific company processes, and integrate them seamlessly into existing tech stacks. The platform offers a range of pre-built agents, like Bosh the Sales Agent, designed to nurture prospects, book meetings 24/7, and personalize outreach, thereby enhancing efficiency and scalability. Relevance AI ensures data privacy and security, being SOC 2 Type II certified and GDPR compliant, with options for data storage in multiple regions. By leveraging Relevance AI, companies can delegate repetitive tasks to AI agents, allowing human employees to focus on higher-value activities and drive business growth.
  • 13
    Gems

    Gems

    Gems

    Get ready-to-use answers from all your knowledge and quit manual organization for good. Gems is the shortcut for all your knowledge, just summon Gems and ask any question. Get synthesized, ready-to-use answers based on everything you and your team have ever known. Gems provide sources with any answer, so you can go back to prove things at any time. Gems searches all your knowledge to formulate a synthesized answer. Post Gems into spaces that you share with colleagues and friends.
  • 14
    QA.tech

    QA.tech

    QA.tech

    We create a comprehensive memory of your web app and the interactions we engage in. Our QA testing agent identifies actions and objectives. Configure the tests with your own user credentials and data. Multiple personas monitoring the agent create defects varying in severity. Our AI agent reasons and takes steps to achieve test objectives. Automatic comments on your pull requests with actionable feedback. Generates developer-friendly bug reports, including console logs, network requests, and more. Testing takes time from building new features and even minor app changes that require updating the test code. Production bugs can cause strain on support, interrupt developers and even lead to customer loss. Manual testing is costly and results in slow feedback cycles, which can potentially delay releases.
  • 15
    Console

    Console

    Console

    Console is an AI-native ITSM and agent platform that centralizes employee requests, automates repetitive workflows, and executes tasks across a company’s existing tools. Employees submit requests through channels like Slack, Teams or Google chat, which flow into a unified inbox where they are categorized, routed, and prioritized. From there, Console uses knowledge base content to answer common questions and playbooks to take action on requests, including multi-step workflows with approvals and integrations into systems like identity providers and SaaS apps. Rather than just tracking tickets, Console is designed to resolve them end-to-end by combining request intake, automation, and execution in a single system.
  • 16
    Spinach AI

    Spinach AI

    Spinach AI

    Spinach AI is the system of action for conversation data, capturing and turning raw enterprise meetings into structured knowledge. It empowers teams by transforming conversations into actionable items and insights that power people, AI agents, and LLMs across the organization.
  • 17
    Naive

    Naive

    Naive

    Naive is an AI-powered platform designed as an autonomous company runtime that enables users to build and operate an entire business through a single chat interface. Users begin by describing the company they want to create, after which the system automatically generates a company “headquarters,” deploys AI agents, and initiates key business functions such as launching campaigns, building applications, and managing operations. These AI agents act as autonomous employees capable of executing tasks across sales, marketing, customer support, engineering, and more, allowing businesses to function without traditional teams. It provides a unified dashboard where users can observe real-time activity, including outbound campaigns, content publishing, customer interactions, and product development updates, all handled by agents working simultaneously.
    Starting Price: $49 per month
Monday.com Logo