Best Artificial Intelligence Software for GitHub - Page 18
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Compare the Top Artificial Intelligence Software that integrates with GitHub as of September 2025 - Page 18
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This a list of Artificial Intelligence software that integrates with GitHub. Use the filters on the left to add additional filters for products that have integrations with GitHub. View the products that work with GitHub in the table below.
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1
Botify.cloud
Botify.cloud
Botify.cloud is an innovative platform designed to streamline and simplify cryptocurrency automation through a certified, all-in-one AI agent marketplace. With Botify.cloud, users can explore a diverse range of agent categories, including trading, volume management, social media, and utility agents. Our instant agent creation tool allows users to customize agents to their needs quickly and easily. It offers features such as agent creation, selling agents on the marketplace, Botify certification for every agent, diverse agent categories, and easy editing of agents' names and profiles. Users can also save their favorite agents for later use. For every agent that is sold, a token is created, and basically, in any transaction on the platform, users earn rewards. Building an agent is straightforward: simply choose a category, fill in the required fields, choose a large language model, and decide the temperature of your agent. -
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Upsonic
Upsonic
Upsonic is an open source framework that simplifies AI agent development for business needs. It enables developers to build, manage, and deploy agents with integrated Model Context Protocol (MCP) tools across cloud and local environments. Upsonic reduces engineering effort by 60-70% with built-in reliability features and service client architecture. It offers a client-server architecture that isolates agent applications, keeping existing systems healthy and stateless. It provides more reliable agents, scalability, and a task-oriented structure needed for completing real-world cases. Upsonic supports autonomous agent characterization, allowing self-defined goals and backgrounds, and integrates computer-use capabilities for executing human-like tasks. With direct LLM call support, developers can access models without abstraction layers, completing agent tasks faster and more cost-effectively. -
3
WeatherNext
Google DeepMind
WeatherNext is a family of AI models from Google DeepMind and Google Research that produces state-of-the-art weather forecasts. These models are faster and more efficient than traditional physics-based weather models and yield superior forecast reliability. The gains in forecast performance could enable better preparation to help save lives in the face of extreme weather events and enhance the reliability of sustainable energy and supply chains. WeatherNext Graph offers more accurate and efficient deterministic forecasts compared to the best deterministic systems in use today, providing a single weather forecast per time and location with a temporal resolution of 6 hours and a lead time of 10 days. WeatherNext Gen accurately generates an ensemble forecast, better than the current ensemble models most widely used today, helping decision-makers better understand weather uncertainties and risks of extreme conditions. -
4
Airweave
Airweave
Airweave is an open source platform that transforms application data into agent-ready knowledge, enabling AI agents to semantically search across various apps, databases, and document stores. It simplifies the process of building intelligent agents by offering no-code solutions, instant data synchronization, and scalable deployment options. Users can connect their data sources using OAuth2, API keys, or database credentials, initiate data synchronization with minimal configuration, and provide agents with a unified search endpoint to access the necessary information. Airweave supports over 100 connectors, including integrations with Google Drive, Slack, Notion, Jira, GitHub, and Salesforce, allowing agents to access a wide range of data sources. It handles the entire data pipeline, from authentication and extraction to embedding and serving, automating tasks such as data ingestion, enrichment, mapping, and syncing to vector stores and graph databases. -
5
Codestral Embed
Mistral AI
Codestral Embed is Mistral AI's first embedding model, specialized for code, optimized for high-performance code retrieval and semantic understanding. It significantly outperforms leading code embedders in the market today, such as Voyage Code 3, Cohere Embed v4.0, and OpenAI’s large embedding model. Codestral Embed can output embeddings with different dimensions and precisions; for instance, with a dimension of 256 and int8 precision, it still performs better than any model from competitors. The dimensions of the embeddings are ordered by relevance, allowing users to choose the first n dimensions for a smooth trade-off between quality and cost. It excels in retrieval use cases on real-world code data, particularly in benchmarks like SWE-Bench, which is based on real-world GitHub issues and corresponding fixes, and Text2Code (GitHub), relevant for providing context for code completion or editing. -
6
Qualcomm AI Inference Suite
Qualcomm
The Qualcomm AI Inference Suite is a comprehensive software platform designed to streamline the deployment of AI models and applications across cloud and on-premises environments. It offers seamless one-click deployment, allowing users to easily integrate their own models, including generative AI, computer vision, and natural language processing, and build custom applications using common frameworks. The suite supports a wide range of AI use cases such as chatbots, AI agents, retrieval-augmented generation (RAG), summarization, image generation, real-time translation, transcription, and code development. Powered by Qualcomm Cloud AI accelerators, it ensures top performance and cost efficiency through embedded optimization techniques and state-of-the-art models. It is designed with high availability and strict data privacy in mind, ensuring that model inputs and outputs are not stored, thus providing enterprise-grade security. -
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Ravenna
Ravenna
Ravenna is a modern, AI-powered ITSM platform built natively in Slack, designed to streamline internal support across IT, HR, finance, and operations. It transforms conversations into actionable support tickets, eliminating the need for separate portals. AI automatically categorizes requests, assigns priority, and routes them to the right team members. With Ravenna, employees can create, search, and share knowledge articles directly within Slack channels, while the system continuously improves existing documentation with new insights. A self-service portal empowers employees to find answers instantly through an AI-powered search and recommendation engine. Custom workflows allow for no-code automation of common IT processes like onboarding and access requests, and approval chains can be set up with automated notifications and reminders. Ravenna also offers SLA management to track and enforce service level agreements with automatic escalations and alerts. -
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100x
100x
100X is an AI-powered platform designed to troubleshoot complex software systems by autonomously analyzing tickets, alerts, logs, metrics, traces, code, and knowledge to pinpoint problems and remediate issues. It operates through a multi-step process: connecting to your environment to build a comprehensive knowledge graph, automatically investigating every incoming alert or support ticket, dynamically querying telemetry and connecting signals across systems, isolating specific system issues with supporting evidence, suggesting proven fixes with relevant context, and learning from every resolution by capturing commands, fixes, and failure patterns discovered by your team. 100X integrates with tools like Datadog, Grafana, LaunchDarkly, Jenkins, Kafka, Redis, and Salesforce, and can be deployed within your cloud environment, ensuring data is accessed, processed, and stored entirely within your cloud boundary. -
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Deductive AI
Deductive AI
Deductive AI is a cutting-edge platform that redefines how organizations handle complex system failures. By connecting your entire codebase with telemetry data, encompassing metrics, events, logs, and traces, Deductive AI empowers teams to pinpoint the root cause of issues with unprecedented precision and speed. It streamlines the process of debugging, significantly reducing downtime and improving overall system reliability. Deductive AI integrates with your codebase and observability tools, creating a unified knowledge graph powered by a code-aware reasoning engine to diagnose root causes like an expert engineer. It builds a knowledge graph with millions of nodes in seconds, uncovering deep relationships between codebase and telemetry data. It orchestrates hundreds of specialized AI agents to search, discover, and analyze breadcrumbs of root cause spread across all connected sources. -
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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. -
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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. -
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SchemaFlow
SchemaFlow
SchemaFlow is a powerful tool designed to enhance AI-powered development by providing real-time access to your PostgreSQL database schema through the Model Context Protocol (MCP). It allows developers to connect their databases, visualize schema structures with interactive diagrams, and export schemas in various formats such as JSON, Markdown, SQL, and Mermaid. With native MCP support via Server-Sent Events (SSE), SchemaFlow enables seamless integration with AI-Integrated Development Environments (AI-IDEs) like Cursor, Windsurf, and VS Code, ensuring that AI assistants have up-to-date schema information for accurate code generation. It offers secure token-based authentication for MCP connections, automatic schema synchronization to keep AI assistants informed of any changes, and a schema browser for easy navigation of tables and relationships. -
13
Infrabase
Infrabase
Infrabase is an AI‑powered DevOps agent that continuously scans GitHub infrastructure-as-code (IaC) in context to detect and flag security vulnerabilities, cost anomalies, and policy violations before they reach production. It integrates with GitHub via an app, securely indexes repositories (without storing raw code), and uses LLMs such as Claude, Gemini, or OpenAI to generate natural-language review checklists. Developers can define custom guardrails using Markdown-based rules instead of complex policy languages. On each pull request, Infrabase provides blast-radius insights, severity scoring, and even merge-blocking triggers for critical issues. It highlights deviations from internal coding patterns and uncovers hidden costs or poorly configured resources. -
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Synergy
Unframe
Synergy is an AI-native command center for enterprise IT operations that unifies siloed monitoring, ticketing, logging, and documentation into a single pane of glass. It continuously correlates signals across tools like Splunk, New Relic, Jira, ServiceNow, and Confluence to turn alert storms into clear, prioritized insights. Synergy’s Smart Incident Workflows automate routine tasks, suggest next steps, flag ownership gaps, and accelerate resolution to cut mean time to detection and repair. Its proactive monitoring detects risks before traditional alerts trigger, flags error spikes and missed escalations, recognizes emerging patterns, and answers investigative queries in natural language. Built-in root cause analysis traces incidents end-to-end across time, logs, metrics, tickets, and post-mortems, links to similar events for instant context, and generates concise summaries. -
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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. -
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Optibot
Optimal AI
Optimal AI’s flagship product, Optibot, is an on-demand AI agentic code reviewer that installs in GitHub, GitLab, or Bitbucket in under a minute to automatically catch bugs, security vulnerabilities, hard-coded credentials, and hidden risks, without ever storing your data or using it for model training. By building memory of your codebase and context-rich precision, Optibot reduces pull-request review times by up to 50 percent, frees senior engineers from repetitive checks, and boosts overall team throughput with real-time dashboards that surface cycle times, review performance, and productivity metrics. Beyond automated PR reviews, Optibot offers customizable agents for codebase complexity analysis, predictive maintenance, advanced bug detection, story-point estimation, and regulatory-change management, as well as integrations with JIRA for contextual reviews. Security-focused agents proactively scan for misconfigurations, race conditions, and vulnerabilities. -
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Sim Studio
Sim Studio
Sim Studio is a powerful, AI-native platform for designing, testing, and deploying agentic workflows through an intuitive, Figma-like visual editor that eliminates boilerplate code and infrastructure overhead. Developers can immediately start building multi-agent applications with full control over system prompts, tool definitions, sampling parameters, and structured output formatting, while maintaining the flexibility to switch seamlessly among OpenAI, Anthropic, Claude, Llama, Gemini, and other LLM providers without refactoring. The platform supports full local development via Ollama integration for privacy and cost efficiency during prototyping, then enables scalable cloud deployment when you’re ready. Sim Studio connects your agents to existing tools and data sources in seconds, importing knowledge bases automatically and offering over 40 pre-built integrations. -
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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 -
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Asimov
ReflectionAI
Asimov is a code research agent that understands and works with complex enterprise codebases. Rather than focusing on code generation, it prioritizes codebase comprehension, a task that consumes up to 70% of developers’ time, by mapping relationships between code, architecture, and team decisions; maintaining institutional knowledge as engineers join and leave; and learning organically from team interactions and documentation. It indexes your entire development environment, including code repositories, architecture docs, GitHub threads, and Teams conversations, to build a persistent, cross‑cutting understanding of systems and to maintain context across architectural changes and team transitions. By using expanded context windows instead of traditional retrieval methods, Asimov can dynamically reference any part of a codebase during reasoning, enabling more accurate synthesis across disparate components. -
20
Aident AI
Aident AI
Aident AI’s Agentic Workflow Editor (AWE) turns plain‑English instructions into smart, collaborative automations without any coding or complex setup. Users simply write tasks, such as “When a new Shopify order arrives, email a thank‑you with a discount”, and AWE suggests phrasing in real time, provides live previews, and enables safe testing with sample data. All rules live in a single, versioned playbook that offers visibility, auditability, and one‑click rollback, while flexible scheduling options let workflows run on demand or according to defined policies. Aident connects seamlessly with Gmail, Slack, X, and hundreds of other apps, empowering teams to build workflows for trend‑driven blog creation, evergreen content recycling, auto social‑post design, ad optimization, or social listening via intuitive drag‑and‑drop rule editing. Each version is auto‑saved, ensuring continuous evolution from simple automations to full departmental processes as AI agents mature. -
21
GPT-5 pro
OpenAI
GPT-5 Pro is OpenAI’s most advanced AI model, designed to tackle the most complex and challenging tasks with extended reasoning capabilities. It builds on GPT-5’s unified architecture, using scaled, efficient parallel compute to provide highly comprehensive and accurate responses. GPT-5 Pro achieves state-of-the-art performance on difficult benchmarks like GPQA, excelling in areas such as health, science, math, and coding. It makes significantly fewer errors than earlier models and delivers responses that experts find more relevant and useful. The model automatically balances quick answers and deep thinking, allowing users to get expert-level insights efficiently. GPT-5 Pro is available to Pro subscribers and powers some of the most demanding applications requiring advanced intelligence. -
22
GPT-5 thinking
OpenAI
GPT-5 Thinking is the deeper reasoning mode within the GPT-5 unified AI system, designed to tackle complex, open-ended problems that require extended cognitive effort. It works alongside the faster GPT-5 model, dynamically engaging when queries demand more detailed analysis and thoughtful responses. This mode significantly reduces hallucinations and improves factual accuracy, producing more reliable answers on challenging topics like science, math, coding, and health. GPT-5 Thinking is also better at recognizing its own limitations, communicating clearly when tasks are impossible or underspecified. It incorporates advanced safety features to minimize harmful outputs and provide nuanced, helpful answers even in ambiguous or sensitive contexts. Available to all users, it helps bring expert-level intelligence to everyday and advanced use cases alike. -
23
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. -
24
Nano Banana
Google
Nano Banana is the internal codename for Google’s powerful AI image-editing model, officially known as Gemini 2.5 Flash Image. It enables users to transform and refine images using conversational prompts—whether that means colorizing old photos, changing outfits, or merging multiple images into one seamless composition. One of its standout features is preserving character consistency: people, pets, and objects remain recognizable even after multiple edits. It excels at multi-turn editing, meaning you can iteratively tweak the same image and expect coherent results throughout. Nano Banana is integrated into the Gemini app, making these capabilities accessible to both free and paid users. Despite its impressive performance, the images include visible and invisible (SynthID) watermarking to denote AI generation for transparency. -
25
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. -
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Cobot
Cobot
Cobot is a web-based, white‑label coworking management platform that streamlines every aspect of running flexible workspaces, helping operators manage their spaces, organize members, automate billing, grow communities, book meeting rooms, monitor resources, and analyze business performance, all from one intuitive dashboard. It automates invoicing and payments, handles bookings with real-time availability, enables customized membership plans (hourly, daily, monthly, credits, discounts), supports drop-ins and external visitor booking, and features lightweight CRM tools for tracking leads, visitors, and events. Members can self-manage bookings, view profiles, and connect via a branded portal, while space admins gain powerful analytics on occupancy, usage, and growth through built-in reports. The platform also controls access, integrating with Wi-Fi, RFID, and external access providers, and includes a free API plus 100+ add-ons for integration. -
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Solid
Solid
Solid is an AI-powered full-stack app builder that enables both technical and non-technical users to create, customize, and launch production-ready web applications, just as easily as making a TikTok. Unlike lightweight tools like Lovable or Base44 that generate superficial front-end facades, Solid delivers a complete, extendable codebase: a Node.js backend with Prisma ORM, a React + TypeScript frontend, and a seamlessly connected database, just like what professional developers use. You can import toy projects built with Lovable/Base44 and instantly transform them into robust, real apps that are scalable, transparent, and transferable. Solid supports deep customization; you own every layer (frontend, backend, data), allowing you to add complex business logic, REST or GraphQL APIs, and integrations effortlessly. It generates high-quality, inspectable code you can deploy anywhere, from Solid’s platform to your cloud, without vendor lock-in. -
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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. -
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Hyperspell
Hyperspell
Hyperspell is an end-to-end memory and context layer for AI agents that lets you build data-powered, context-aware applications without managing the underlying pipeline. It ingests data continuously from user-connected sources (e.g., drive, docs, chat, calendar), builds a bespoke memory graph, and maintains context so future queries are informed by past interactions. Hyperspell supports persistent memory, context engineering, and grounded generation, producing structured or LLM-ready summaries from the memory graph. It integrates with your choice of LLM while enforcing security standards and keeping data private and auditable. With one-line integration and pre-built components for authentication and data access, Hyperspell abstracts away the work of indexing, chunking, schema extraction, and memory updates. Over time, it “learns” from interactions; relevant answers reinforce context and improve future performance. -
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Autory
Autory
Chain many blocks of work together. Make sure that outputs conform to your standards. Modularize working chains and combine many modules. Growing the size and possibilities of Automation like never before. Build your means and gain the power of another autonomous worker. Using Autory you can connect your tools to the power of GPT-4. Making the connections seamless with code snippets. Fetch information from many different sources to build the automation that work.