39 Integrations with Gemini CLI
View a list of Gemini CLI integrations and software that integrates with Gemini CLI below. Compare the best Gemini CLI integrations as well as features, ratings, user reviews, and pricing of software that integrates with Gemini CLI. Here are the current Gemini CLI integrations in 2026:
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1
Gemini Enterprise Agent Platform is a comprehensive solution from Google Cloud designed to help organizations build, scale, govern, and optimize AI agents. It represents the evolution of Vertex AI, combining advanced model development with new capabilities for agent orchestration and integration. The platform provides access to over 200 leading AI models, including Google’s Gemini series and third-party options like Anthropic’s Claude. It enables teams to create intelligent agents using both low-code and code-first development environments. With features like Agent Runtime and Memory Bank, businesses can deploy long-running agents that retain context and perform complex workflows. The platform emphasizes security and governance through tools like Agent Identity, Agent Registry, and Agent Gateway. It also includes optimization tools such as simulation, evaluation, and observability to ensure consistent agent performance.Starting Price: Free ($300 in free credits)
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2
Google AI Studio
Google
Google AI Studio is a unified development platform that helps teams explore, build, and deploy applications using Google’s most advanced AI models, including Gemini 3.5. It brings text, image, audio, and video models together in one interactive playground. With vibe coding, developers can use natural language to quickly turn ideas into working AI applications. The platform reduces friction by generating functional apps that are ready for deployment with minimal setup. Built-in integrations like Google Search enhance real-world use cases. Google AI Studio also centralizes API key management, usage monitoring, and billing. It offers a fast, intuitive path from prompt to production powered by vibe coding workflows.Starting Price: Free -
3
Gemini
Google
Gemini is Google’s advanced AI assistant designed to help users think, create, learn, and complete tasks with a new level of intelligence. Powered by Google’s most capable models, including Gemini 3, it enables users to ask complex questions, generate content, analyze information, and explore ideas through natural conversation. Gemini can create images, videos, summaries, study plans, and first drafts while also providing feedback on uploaded files and written work. The platform is grounded in Google Search, allowing it to deliver accurate, up-to-date information and support deep follow-up questions. Gemini connects seamlessly with Google apps like Gmail, Docs, Calendar, Maps, YouTube, and Photos to help users complete tasks without switching tools. Features such as Gemini Live, Deep Research, and Gems enhance brainstorming, research, and personalized workflows. Available through flexible free and paid plans, Gemini supports everyday users, students, and professionals across devices.Starting Price: Free -
4
Gemini 3 Pro
Google
Gemini 3 Pro is Google’s most advanced multimodal AI model, built for developers who want to bring ideas to life with intelligence, precision, and creativity. It delivers breakthrough performance across reasoning, coding, and multimodal understanding—surpassing Gemini 2.5 Pro in both speed and capability. The model excels in agentic workflows, enabling autonomous coding, debugging, and refactoring across entire projects with long-context awareness. With superior performance in image, video, and spatial reasoning, Gemini 3 Pro powers next-generation applications in development, robotics, XR, and document intelligence. Developers can access it through the Gemini API, Google AI Studio, or Gemini Enterprise Agent Platform, integrating seamlessly into existing tools and IDEs. Whether generating code, analyzing visuals, or building interactive apps from a single prompt, Gemini 3 Pro represents the future of intelligent, multimodal AI development.Starting Price: $19.99/month -
5
Gemini 2.5 Pro
Google
Gemini 2.5 Pro is an advanced AI model designed to handle complex tasks with enhanced reasoning and coding capabilities. Leading common benchmarks, it excels in math, science, and coding, demonstrating strong performance in tasks like web app creation and code transformation. Built on the Gemini 2.5 foundation, it features a 1 million token context window, enabling it to process vast datasets from various sources such as text, images, and code repositories. Available now in Google AI Studio, Gemini 2.5 Pro is optimized for more sophisticated applications and supports advanced users with improved performance for complex problem-solving.Starting Price: $19.99/month -
6
Model Context Protocol (MCP)
Anthropic
Model Context Protocol (MCP) is an open protocol designed to standardize how applications provide context to large language models (LLMs). It acts as a universal connector, similar to a USB-C port, allowing LLMs to seamlessly integrate with various data sources and tools. MCP supports a client-server architecture, enabling programs (clients) to interact with lightweight servers that expose specific capabilities. With growing pre-built integrations and flexibility to switch between LLM vendors, MCP helps users build complex workflows and AI agents while ensuring secure data management within their infrastructure.Starting Price: Free -
7
Jules Tools
Google
Jules Tools is a lightweight command-line interface that lets developers interact with Jules, Google’s asynchronous coding agent, directly from their terminal without needing the browser UI. Jules understands the full context of your repository, takes tasks like writing tests, building new features, fixing bugs, and bumping dependencies, then spins up a temporary VM to perform work and return pull requests. The CLI is scriptable and integrates seamlessly into developer workflows, commands like jules remote list let you inspect tasks, while jules can spawn new sessions from pipelines or issue trackers. It also includes a terminal user interface that mirrors the web dashboard. Because Jules Tools is designed to be programmable, you can embed it into scripts or CI/CD pipelines, combine it with GitHub or Gemini CLI commands, and automate parts of your dev process.Starting Price: Free -
8
Gemini Enterprise
Google
Gemini Enterprise app is an advanced AI-powered platform that brings Google’s AI capabilities to every employee, enabling organizations to automate workflows, analyze data, and create high-quality content across multiple business functions. It securely connects to tools like Microsoft 365, Google Workspace, HubSpot, and Jira, allowing users to search and interact with their business data using natural language. The platform supports prebuilt agents such as NotebookLM and Deep Research, helping teams quickly extract insights and streamline tasks. It also allows users to build custom no-code agents to automate multi-step workflows across different applications. With centralized management, organizations can deploy and monitor all agents from a single interface. Built-in security and governance features ensure data privacy and compliance with enterprise standards. Overall, Gemini Enterprise app enhances productivity by combining AI automation with secure data integration.Starting Price: $21 per month -
9
FlowLens
Magentic AI
FlowLens is an AI-native debugging and session-recording tool that captures everything needed for correct, context-aware bug diagnosis and lets AI coding agents fix bugs autonomously. With a simple browser extension and optional MCP server, FlowLens records full user sessions, including video of the UI, network-request data, console logs, user interactions (clicks, inputs, navigation), storage state (cookies, local/session storage), system info, and more, all synchronized on a unified timeline. Once a bug is reproduced, FlowLens bundles that complete context into a single “flow” that can be shared via link. AI coding agents compatible with MCP (such as those from major providers) can then load the flow, inspect network activity, error logs, UI state, and user inputs, and automatically analyze root causes and suggest or even generate code fixes. This removes the need for manual replays, copying and pasting logs, or writing verbose bug descriptions.Starting Price: $11 per month -
10
DeployStack
DeployStack
DeployStack is an enterprise-focused Model Context Protocol (MCP) management platform designed to centralize, secure, and optimize how teams use and govern MCP servers and AI tools across organizations. It provides a single dashboard to manage all MCP servers with centralized credential vaulting, eliminating scattered API keys and manual local config files, while enforcing role-based access control, OAuth2 authentication, and bank-level encryption for secure enterprise usage. It offers usage analytics and observability, giving real-time insights into which MCP tools teams use, who accesses them, and how often, along with audit logs for compliance and cost-control visibility. DeployStack also includes token/context window optimization so LLM clients consume far fewer tokens when loading MCP tools by routing through a hierarchical system, allowing scalable access to many MCP servers without degrading model performance.Starting Price: $10 per month -
11
CreateOS
NodeOps
CreateOS from NodeOps is a unified intelligent workspace and execution environment that lets builders move seamlessly from idea to live deployment and monetization without juggling fragmented tools or infrastructure. It consolidates planning, coding, testing, deployment, dashboards, trading setups, analytics, wallets, and automation into one context-aware platform where you can start from a blank canvas, import a repo, or remix a template with one click, build products and workflows with AI-assisted suggestions, and instantly push live through zero-configuration deployments that auto-scale and require no traditional DevOps steps. CreateOS includes an AI co-pilot that accelerates work by suggesting improvements and automating routine tasks, native integrations with familiar tools like GitHub, Figma, Notion, wallets, and APIs to keep your workflow in continuous flow, and a Marketplace where creators can publish and earn from templates, apps, and workflows.Starting Price: $8 per month -
12
JetBrains Air
JetBrains
Air is an agentic development environment created by JetBrains that allows developers to delegate coding tasks to multiple AI agents and manage them within a single, unified workspace. Instead of functioning as a simple chat-based assistant, it is designed as a full development environment where tools are built around AI agents, enabling users to guide, supervise, and refine their output more effectively. Developers can run several agents concurrently, each working on different tasks in isolated environments, which helps prevent conflicts and improves productivity when handling complex projects. It supports integration with multiple AI systems such as Claude, Gemini, Codex, and other coding agents, allowing flexible, model-agnostic workflows within the same interface. Users can define tasks with rich context by referencing specific files, commits, classes, or code elements, ensuring that the agents generate more accurate and relevant results based on the actual codebase.Starting Price: Free -
13
OpenSpec
Fission AI
OpenSpec is an open-source spec-driven development framework designed to bring structure and clarity to AI-assisted coding workflows. It introduces a lightweight specification layer that helps teams define requirements before writing code. The platform organizes each change into structured artifacts such as proposals, specifications, designs, and task lists. It integrates with over 20 AI coding tools, allowing developers to use their preferred assistants while maintaining consistency. OpenSpec emphasizes an iterative and flexible approach rather than rigid development phases. Its command-based workflow enables users to propose, implement, and archive features efficiently. Overall, OpenSpec helps developers align with AI systems, reduce ambiguity, and produce more predictable and reliable outcomes.Starting Price: Free -
14
Cosyra
Cosyra
Cosyra is a mobile-first cloud development environment that enables users to run AI-powered coding tools directly from their phone through a full Linux terminal. It allows developers to use tools such as Claude Code, Codex CLI, OpenCode, and Gemini CLI, all pre-installed and ready to run by simply adding an API key and opening the terminal. It provides an isolated Ubuntu container with essential development tools, including Node.js, Python, Git, tmux, and vim, along with 30 GB of persistent storage that contains data between sessions. Cosyra is designed to replicate the experience of working on a local machine, allowing users to build, test, and manage projects entirely from a mobile device. It supports workflows such as cloning repositories, reviewing pull requests, running tests, and deploying code, all within a persistent session that can hibernate and resume seamlessly.Starting Price: $29.99 per month -
15
TypeUI
TypeUI
TypeUI is an open source command-line interface designed for agentic design, enabling developers to apply a consistent and structured design system across AI-generated code by generating and managing standardized files. It acts as a design layer for AI coding tools, ensuring that interfaces produced by different agents follow the same visual rules for typography, color, spacing, and component styling, regardless of the underlying model or provider. It addresses a key challenge in AI-assisted development, where outputs from tools like Claude Code, Cursor, Codex, or Gemini can vary significantly in style by introducing a portable design blueprint that enforces uniformity across projects. Through a simple CLI workflow, users can generate design systems by answering guided prompts, pull pre-built “design skills” from a registry, or update existing configurations without rebuilding them from scratch.Starting Price: $200 per 3 years -
16
vly.ai
vly.ai
vly.ai is an AI-first, full-stack web development platform that transforms simple natural language descriptions into fully functional, production-ready web applications. Instead of relying on traditional coding or fragmented no-code tools, it provides a complete development environment where the AI agent generates, iterates, and deploys entire projects, including frontend, backend, database, and authentication systems. Users can describe what they want to build in plain English, and the platform handles everything from application logic to infrastructure using a modern stack such as React, Vite, and real-time backend technologies. Its architecture is designed to be “AI-first,” prioritizing real-time performance, scalability, and compatibility with intelligent workflows, enabling faster and more efficient software creation compared to traditional approaches. It automates key aspects of development, including deployment, hosting, scaling, and security.Starting Price: $3/month -
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Junction
Junction
Junction Panel is a lightweight control surface for managing AI coding agents from anywhere, designed to keep developers connected to their workflows without being tied to a desktop environment. It enables users to monitor, interact with, and control multiple local AI agents in real time, receiving alerts when an agent needs input and responding instantly from any device, including a phone. Through a unified interface, users can review diffs, tail logs, merge pull requests, and approve execution steps with one-tap actions, allowing development processes to continue seamlessly even when away from a workstation. It includes built-in features such as per-turn cost tracking for token usage, workspace browsing, custom commands, and agent checkpoints that allow rollback to previous states if something goes wrong. It also introduces a structured permission system with five levels of risk classification, ensuring that every agent action is categorized and reviewed appropriately.Starting Price: $10 per month -
18
Constellation
ShiftinBits Inc
Graph-backed code intelligence for your AI assistant. Constellation turns your codebase into a queryable knowledge graph, giving AI assistants the structural understanding they need to reason about real software — not just the plain text. Why Constellation? Text search tells you where a string appears, *everywhere* that string appears. Constellation tells you the exact location of the symbol in question, what it means, what calls it, and what breaks if you change it. Before your assistant edits a function, it can ask: - Where is this defined, and where is it used across the codebase? - What's the blast radius of this change? - Which modules have circular dependencies or dead code? - How does data flow through the call graph? Answers come from a semantic graph, not a grep loop. One Tool, Countless Capabilities A single `code_intel` tool exposes a rich JavaScript API as a "Code Mode" tool, allowing AI agents to craft complex composite queries.Starting Price: $29.99/month -
19
Preloop
Preloop
Preloop is the open source AI agent control plane for agents that take real actions. It combines an MCP firewall for tool access, an AI model gateway for cost, safety, and attribution, policy-as-code with human approvals, runtime session observability, and audit trails in a single self-hostable platform. AI agents can deploy code, change infrastructure, move money, touch production data, and burn model spend in seconds, so Preloop helps teams control what agents can do, how much they spend, and which actions require human approval. It works with OpenClaw, Hermes, Claude Code, Codex CLI, Cursor, Gemini CLI, Windsurf, Cline, OpenCode, and any MCP-compatible agent or managed runtime. Access rules can inspect arguments and context, not just tool names, with CEL expressions for fine-grained conditions. Teams can start with observability, then layer in approvals and deny rules without SDKs or invasive app changes.Starting Price: $290 per month -
20
Dock
Dock
Dock is the AI workspace for you, your team, and every agent you run. It gives humans and AI agents the same shared cloud workspace, where everyone can read and write the same state in real time instead of working across scattered chats, files, and one-off outputs. Dock is built around tables with typed columns, rich-text docs, and agents as first-class identities, each with their own API keys, permissions, and audit trail rather than delegated human tokens. Teams can use Dock to plan, research, decide, and ship with humans and AI on the same surface, with use cases across engineering, go-to-market, research, operations, solo work, and agency workflows. Engineering teams can manage sprint planning, spec docs, and incident response; GTM teams can organize content calendars, sales pipelines, and customer success; research teams can track interviews, themes, and competitive intelligence; and operations teams can manage runbooks, recruiting, compliance, and onboarding.Starting Price: $19 per month -
21
Multica
Multica
Multica is an open source project management platform for human and agent teams, built to turn coding agents into real teammates rather than separate tools. It gives humans and AI agents the same workspace, where agents can be assigned issues, report progress, reply in comments, raise blockers, ship code, and appear in the member list with profiles, avatars, and open-issue queues. Users can assign work to an agent the same way they would hand a task to a teammate, or open a chat window to ask it to draft an issue, answer a question, or handle a one-off request. Multica’s shared context layer keeps issue comments, attachments, reports, task history, and workspace knowledge accessible to both people and agents, while skills act as workspace-wide playbooks that let every agent reuse the same definitions and operating instructions.Starting Price: Free -
22
AionUi
AionUi
AionUi is a desktop workspace where AI agents live on the user’s computer and actually collaborate across everyday tasks such as writing code, making slides, sorting files, crunching numbers, editing photos, creating reports, writing papers, and running automations 24/7. Users can work with one agent, run multiple agents in parallel, assign tasks to the right assistant, or team them up inside one unified workspace. AionUi auto-detects Claude Code, Codex, Gemini CLI, Aion CLI, OpenCode, OpenClaw, Goose, and 20+ more tools already installed on the machine, so users can reuse their existing setup without reinstalling or duplicating tools. It includes 20+ built-in assistants for presentations, Excel, financial models, documents, academic papers, diagrams, UI/UX design, games, creative writing, project planning, recruiting, setup, and autonomous end-to-end work. Users can also create custom assistants tailored to their workflow.Starting Price: Free -
23
oh-my-claudecode
oh-my-claudecode
oh-my-claudecode is a multi-AI orchestration plugin for Claude Code that helps developers coordinate Claude, Gemini, and Codex in one structured workflow. The platform is designed to turn Claude Code into a more powerful development environment with specialized agents, skills, execution modes, and MCP-powered tools. It includes 19 specialized agents for planning, architecture, debugging, execution, review, security, testing, design, documentation, and other software development tasks. oh-my-claudecode supports powerful modes such as Autopilot, Ralph, Ultrawork, Deep Interview, Team, and Planning to match different coding and project needs. The plugin also includes tools for language server integration, structural code analysis, persistent Python work, project memory, and session state. oh-my-claudecode helps developers automate complex engineering work, coordinate multiple AI systems, and complete coding tasks with more speed and structure.Starting Price: Free -
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Graphify
Graphify
Graphify is an open source knowledge graph engine that turns any input, including code, docs, papers, meetings, images, browser tabs, and commits, into one traversable graph with complete recall. It is built as persistent memory for AI coding assistants, giving tools like Claude Code, Codex, OpenCode, Cursor, Gemini CLI, GitHub Copilot CLI, Aider, Factory Droid, Kimi Code, Kiro, Pi, and Google Antigravity a queryable understanding of a project instead of making them repeatedly grep through files. Users can point Graphify at any directory, and it builds an initial corpus through AST extraction, semantic analysis, and Leiden clustering, transforming an entire codebase or document corpus into a graph in one pass. Unlike RAG pipelines that re-embed everything on every change, Graphify maintains a living graph that updates only affected nodes and edges when files change, allowing the rest of the corpus to stay intact even at enterprise scale.Starting Price: Free -
25
MemPalace
MemPalace
MemPalace is a local-first storage and retrieval system for AI workflows, built to give AI a memory while keeping the user’s words under their own control. It stores conversations verbatim instead of reducing them to summaries, then organizes that memory into a navigable “palace” structure inspired by the ancient memory palace technique. Conversations can be arranged into wings for people, projects, or topics, with rooms and drawers used to make information easier to locate, narrow, and retrieve later. It is designed for people who believe their words are theirs, with local-first storage, zero telemetry, and a privacy-focused approach that keeps memory on the user’s machine. MemPalace supports AI workflows through MCP tooling, including tools for palace reads and writes, knowledge-graph operations, cross-wing navigation, drawer management, and agent diaries.Starting Price: Free -
26
OpenViking
OpenViking
OpenViking is an open source context database designed specifically for AI agents, built around a file-system paradigm that unifies the management of memories, resources, and skills. Instead of treating context as scattered chunks in a fragmented vector store, OpenViking organizes agent context into a virtual file system under the viking protocol, giving agents a structured way to store, navigate, retrieve, and observe the information they need. It is designed to help developers move beyond the hassle of manual context management by giving agents a minimalist interaction model for context, similar to reading and writing files. OpenViking supports hierarchical context loading, semantic retrieval, recursive retrieval, sessions, metrics, and observability, making it possible for AI agents to access the right level of information without stuffing everything into the prompt.Starting Price: Free -
27
claude-mem
cmem.ai
claude-mem is an offline-first cloud memory for AI agents, built around an open source engine and a cloud sync layer that links agent memory everywhere through one private MCP link. It is designed so coding agents and AI assistants do not start from zero every session, every machine, or every editor. claude-mem takes notes while an agent works, capturing decisions, fixes, dead ends, environment notes, architecture choices, and other structured observations in a temporal database. CMEM Cloud then mirrors that local memory behind a private Model Context Protocol endpoint, allowing any compatible agent or IDE to read and write the same memory across tools such as Claude Code, Cursor, Windsurf, OpenCode, Codex CLI, Gemini CLI, and VS Code. It works locally first, with or without a network, while keeping memory synchronized when cloud access is available.Starting Price: Free -
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CMEM Cloud
cmem.ai
CMEM Cloud is the cloud sync layer for claude-mem, built to link AI agent memory everywhere through one private MCP link. claude-mem is the open source engine that takes notes while an agent works, and CMEM Cloud mirrors that local memory so agents can recall it across every session, machine, editor, and MCP-compatible client. Instead of making users re-explain context, paste old notes, or restart from zero, the system captures decisions, bug fixes, dead ends, environment notes, architecture choices, and other structured observations as the agent works. Those observations are stored in a temporal database, searched by meaning through vector recall, and made available through a private MCP endpoint that any compatible agent can read and write through. It starts with installing the local engine, letting a second model write structured notes out of band, syncing the local database to CMEM Cloud, and then recalling that memory anywhere.Starting Price: Free -
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Gemini 3 Flash
Google
Gemini 3 Flash is Google’s latest AI model built to deliver frontier intelligence with exceptional speed and efficiency. It combines Pro-level reasoning with Flash-level latency, making advanced AI more accessible and affordable. The model excels in complex reasoning, multimodal understanding, and agentic workflows while using fewer tokens for everyday tasks. Gemini 3 Flash is designed to scale across consumer apps, developer tools, and enterprise platforms. It supports rapid coding, data analysis, video understanding, and interactive application development. By balancing performance, cost, and speed, Gemini 3 Flash redefines what fast AI can achieve. -
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Flottix
Flottix
Flottix is an IT asset management (ITAM) software designed to track and manage hardware, software licenses, and IT inventory. It offers a centralized system for monitoring technology assets, replacing spreadsheet-based tracking. The platform tracks hardware like laptops and servers, recording location and assigned personnel to reduce equipment loss. License management features monitor seats, renewal dates, and usage to ensure compliance and optimize costs, with automated alerts for upcoming expirations. Flottix supports CSV and Excel imports for easy migration and includes custom fields, workflows, QR code, and barcode scanning for inventory audits. API access enables integration with existing tools, while maintenance tracking, check-in/check-out workflows, reporting, label printing, and data export enhance operational flexibility.Starting Price: $19/month -
31
Superpowers
Superpowers
Superpowers is an open-source software development methodology and skills framework designed to improve how coding agents plan, build, test, and review software. The project gives AI coding tools a structured workflow that helps them clarify requirements before writing code. It supports agents such as Claude Code, Codex CLI, Codex App, Factory Droid, Gemini CLI, OpenCode, Cursor, and GitHub Copilot CLI. Superpowers guides agents through brainstorming, design approval, implementation planning, test-driven development, subagent-driven execution, code review, and branch completion. Its skills library emphasizes red-green-refactor testing, systematic debugging, isolated git worktrees, verification, and evidence-based completion. Superpowers helps developers turn AI coding agents into more disciplined engineering partners that follow repeatable processes instead of jumping straight into code.Starting Price: Free -
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Gemini 3 Deep Think
Google
The most advanced model from Google DeepMind, Gemini 3, sets a new bar for model intelligence by delivering state-of-the-art reasoning and multimodal understanding across text, image, and video. It surpasses its predecessor on key AI benchmarks and excels at deeper problems such as scientific reasoning, complex coding, spatial logic, and visual-/video-based understanding. The new “Deep Think” mode pushes the boundaries even further, offering enhanced reasoning for very challenging tasks, outperforming Gemini 3 Pro on benchmarks like Humanity’s Last Exam and ARC-AGI. Gemini 3 is now available across Google’s ecosystem, enabling users to learn, build, and plan at new levels of sophistication. With context windows up to one million tokens, more granular media-processing options, and specialized configurations for tool use, the model brings better precision, depth, and flexibility for real-world workflows. -
33
Code Wiki
Google
Code Wiki is an automated, intelligent documentation platform designed to generate and maintain a fully structured wiki for any code repository, updating continuously as the code changes. It scans the full codebase and regenerates documentation after every commit, ensuring the docs evolve in sync with the code; the system also includes an integrated chat interface powered by the Gemini model, enabling developers to ask detailed questions about the code and receive answers grounded in the actual repository. Documentation is hyperlinked to the underlying files and definitions, so users can seamlessly navigate between high-level explanations and specific code. Code Wiki automatically produces architecture diagrams, class hierarchies, and sequence workflows to provide visual context for complex relationships within the code. -
34
Gemini 3.1 Pro
Google
Gemini 3.1 Pro is Google’s upgraded core intelligence model designed for complex tasks that require advanced reasoning. Building on the Gemini 3 series, it delivers significant improvements in problem-solving performance and logical pattern recognition. On the ARC-AGI-2 benchmark, Gemini 3.1 Pro achieved a verified score of 77.1%, more than doubling the reasoning performance of Gemini 3 Pro. The model is engineered for challenges where simple answers are insufficient, enabling deeper analysis, synthesis, and creative output. It can generate practical outputs such as animated, website-ready SVGs directly from text prompts, combining intelligence with real-world usability. Gemini 3.1 Pro is rolling out in preview across consumer, developer, and enterprise platforms including the Gemini app, NotebookLM, Gemini API, Gemini Enterprise Agent Platform, and Android Studio. With expanded access for Google AI Pro and Ultra users, 3.1 Pro sets a stronger baseline for agentic workflows. -
35
Gemini 3.1 Flash-Lite
Google
Gemini 3.1 Flash-Lite is Google’s fastest and most cost-efficient model in the Gemini 3 series, designed for high-volume developer workloads. It delivers strong performance at scale while maintaining affordability, with pricing set at $0.25 per million input tokens and $1.50 per million output tokens. The model significantly improves speed, offering a 2.5x faster time to first answer token and a 45% increase in output speed compared to Gemini 2.5 Flash. Despite its lower cost tier, it achieves high benchmark results, including an Elo score of 1432 and strong performance across reasoning and multimodal evaluations. Gemini 3.1 Flash-Lite supports adaptive “thinking levels,” allowing developers to control how much reasoning power is used for different tasks. It is suitable for large-scale applications such as translation, content moderation, user interface generation, and simulation building. -
36
XHawk
XHawk
XHawk is an AI-native developer platform designed to transform scattered code, documentation, and team knowledge into a unified, searchable system of context. It captures every coding session, commit, and decision, automatically organizing them into a living knowledge graph that evolves with the codebase. It converts code changes and development activity into structured, indexed documentation, ensuring that knowledge stays synchronized with every pull request and eliminating gaps between code and documentation. It provides a shared context layer that enables both humans and AI coding agents to plan, code, review, test, and operate systems with a consistent understanding, reducing hallucinations caused by missing context. XHawk includes features such as session intelligence, where every git commit syncs session history and agent reasoning, creating a permanent, searchable record of how software is built. -
37
Lanes
Lanes
Lanes is a local-first desktop application designed to help developers manage and interact with AI coding agents in a private, secure environment where all work remains on the user’s machine. It operates on the principle that sensitive development data, such as source code, terminal activity, prompts, AI responses, and project configurations, should never leave the local device, ensuring full confidentiality and control. It integrates with third-party AI coding agents and CLI tools like Codex, Claude Code, or Gemini CLI, but does not act as an intermediary; instead, all communication occurs directly between the user’s machine and those services. This architecture allows developers to use powerful AI tools while maintaining strict data privacy and ownership. Lanes supports account management through simple authentication and collects only minimal, anonymous telemetry data, such as feature usage patterns, session duration, and crash reports, to improve performance. -
38
Agensi
Agensi
Agensi is a curated marketplace for AI agent skills. Every skill is security-scanned, works across 20+ agents (Claude Code, Codex CLI, Cursor, Gemini CLI, Copilot, and more), and comes from an accountable creator. Skills are one-time purchases. Buy once, own forever. No subscriptions, no license keys. All skills use the open SKILL.md standard, so one purchase works across every compatible agent. Every submission goes through an 8-point automated security scan covering prompt injection, data exfiltration, dangerous commands, secret detection, and obfuscated code. Creators keep 80% of each sale with instant Stripe payouts. Downloads are buyer-fingerprinted for IP protection. Agensi also offers a MCP subscription ($9/month or $90/year) that gives AI agents live access to the full catalog. Your agent connects to Agensi via MCP, searches available skills, and loads the right one mid-conversation. No downloads, no file management. New skills are available the moment they go live. -
39
Gemini 3.5 Pro
Google
Gemini 3.5 Pro is Google’s upcoming flagship AI model designed to deliver advanced reasoning, coding, and agent-based workflow capabilities for developers, enterprises, and general users. The model is part of the new Gemini 3.5 family introduced at Google I/O 2026, where Google highlighted improvements in intelligent task execution, long-context understanding, and AI-powered automation. Gemini 3.5 Pro is expected to build on the capabilities of Gemini 3.5 Flash by offering stronger reasoning performance, deeper contextual memory, and enhanced coding intelligence. Google positions the model as a major step toward more autonomous AI agents capable of managing complex workflows across productivity, software development, and research tasks. Reports suggest the platform will integrate closely with Google products, Gemini Spark, Antigravity, Google Search AI Mode, and enterprise tools.
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