Business Software for OpenCode - Page 4

Top Software that integrates with OpenCode as of October 2026 - Page 4

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  • 1
    Unabyss

    Unabyss

    Unabyss

    Unabyss is a universal context layer for AI tools that connects once and carries the same live, structured context into every AI a user works with. It pulls information from daily work sources such as Slack, Gmail, Notion, Google Calendar, GitHub, Linear, Google Drive, meeting tools, and more, then extracts, organizes, tags, and keeps that context current automatically. Instead of leaving knowledge trapped inside one chatbot or frozen in a manually maintained context file, Unabyss lets Claude, ChatGPT, Cursor, Codex, Gemini, Perplexity, OpenCode, VS Code, OpenClaw, and other MCP-compatible tools work from the same picture. Each AI can retrieve only the relevant slice of context, structured by topic, source, sensitivity, project, account, and other attributes, so users do not have to repeatedly explain their role, preferences, decisions, clients, repositories, or current priorities.
    Starting Price: $13 per month
  • 2
    port22

    port22

    port22

    port22 puts your coding agents in your pocket. Run the agent, pair your iPhone, and drive Claude Code, Codex, or OpenCode from anywhere while reading the live transcript and approving actions as the agent works. It attaches to the session already running in your terminal rather than starting or forking a new one, so you can continue working with the same live process you began at your desk. Every token is streamed to your phone as the agent thinks, edits, and runs, while push notifications arrive when it finishes or needs your approval. Live status remains visible through the Dynamic Island and lock screen, so you can follow every active session without repeatedly opening the app. port22 works over your local network at your desk and automatically switches to an end-to-end encrypted relay when you leave Wi-Fi, keeping the same session over cellular.
    Starting Price: Free
  • 3
    bb

    bb

    bb

    bb is a local-first, fully customizable IDE for working with AI coding agents, designed to control, automate, and even modify itself. Almost anything in the environment can be changed with a single prompt: users can add panels, CLI commands, skills, plugins, and workflows that immediately become available to their agents. Many of bb’s own capabilities, including GitHub integration, agent memory, scheduled jobs, and remote access, are built as plugins using the same tools available to users. Its CLI is open to external programs such as shell scripts, cron jobs, or bots in Telegram, Signal, and Slack, allowing them to spawn work threads that remain available in the sidebar. bb supports multiple coding agents, including Claude Code, Codex, Cursor, Pi, OpenCode, Grok, omp, and Hermes, letting users assign tasks to the best-suited agent or have one agent spawn and manage another in separate threads. Work runs on the user’s own machine and can continue independently until they return.
    Starting Price: Free
  • 4
    Oqoqo

    Oqoqo

    Oqoqo

    Oqoqo is a platform for building evals and custom benchmarks for real-world agentic tasks, letting teams run experiments at scale in realistic environments on fully managed cloud infrastructure. Users can define private task sets and rubrics, test whether agents can use products such as skills, MCP servers, CLIs, SDKs, APIs, documentation, and files, and compare agents, models, treatments, and effort levels under the same conditions. Each task runs independently in its own isolated environment with the project state, context, files, tools, and credentials it needs. Oqoqo captures the full trajectory of every run, including commands, tool calls, errors, files, and where an agent stopped, then reports pass or fail results, pass rates, lift, token usage, and friction. Teams can use these insights to identify product interface issues, token inefficiencies, and performance differences, fix what failed, and rerun the experiment.
    Starting Price: $20 per month
  • 5
    Nativ

    Nativ

    Blaizzy

    Nativ is a 100% open-source macOS app for running OpenAI models locally on Apple Silicon, putting frontier intelligence directly on your desk with no accounts or cloud required. It provides a clean chat interface with streaming responses, Markdown, code highlighting, image input, and per-message performance metrics, with every response generated locally. A curated model library includes open models from teams such as Google, Cohere, and Liquid AI, while Nativ recommends models suited to the hardware in your Mac. Built on MLX-VLM and tuned for M-series unified memory and Metal, it runs models without wrappers or translation layers. Live telemetry exposes tokens per second, memory pressure, thermal state, and time to first token so users can see what is actually happening during inference. Nativ supports language, vision, video, code, and audio workflows, including chatting with LLMs, captioning images, summarizing video, autocompleting code, transcribing audio, and generating speech.
    Starting Price: Free
  • 6
    OpenCode Zen
    OpenCode Zen is an AI gateway that gives coding agents access to a curated set of reliable, optimized AI models tested and verified by the OpenCode team. It is designed to solve the inconsistency that comes from the large number of available models and the different ways providers configure and serve them, which can lead to varying performance and quality. The team tests a select group of models, works directly with model teams and providers to determine how they should be run, verifies that they are served correctly, and benchmarks each model-provider combination before recommending it. Zen works like any other provider in OpenCode: users connect with an API key and can view the recommended model list directly in the interface. It is completely optional and can also be used with other coding agents, helping developers avoid lock-in while still accessing validated model configurations.
    Starting Price: Free
  • 7
    OpenCode Go

    OpenCode Go

    OpenCode

    OpenCode Go brings agentic coding to programmers around the world by providing reliable access to a curated lineup of capable open coding models. It is designed primarily for international users and focuses on stable global access, generous usage limits, and models tested specifically for coding-agent workloads. Open models have reached performance close to proprietary models for coding tasks, but provider quality, latency, and availability can vary. To address this, the OpenCode team tests selected models, works with model teams and providers to determine how they should be served, and benchmarks each model-provider combination before recommending it. Go works like any other provider in OpenCode, users connect with an API key and can view the available models directly in the interface. It is completely optional and can also be used with other coding agents, helping avoid lock-in.
    Starting Price: $10 per month
  • 8
    HOL Guard
    HOL Guard is a local-first runtime security layer for AI agents that watches what an AI assistant is about to do and stops risky actions before they happen. It sits between the agent and the computer, evaluating supported tool calls and local artifacts for threats such as secret and credential exposure, destructive commands, prompt-injection-driven actions, malicious or changed packages, risky MCP configuration, and unsafe plugins, skills, hooks, and settings. Known threats can be blocked automatically, while ambiguous actions are paused for user approval so people remain in control. Guard runs entirely on the developer’s machine, works offline, and does not upload files, prompts, or passwords. Local checks typically complete in under 50 milliseconds and require no changes to existing code or routines. It supports coding agents including Claude Code, Cursor, Codex, Gemini CLI, OpenCode, Hermes, and OpenClaw, with tailored integrations that inspect actions before execution.
    Starting Price: $4.99 per month
  • 9
    SuperBased

    SuperBased

    SuperBased

    SuperBased is a local-first control plane for AI coding agents that lets developers see, control, and right-size agent activity from one binary running on their own machine. It reads native session data from 40 coding tools without requiring a proxy, SDK rewrite, or special configuration, supporting agents such as Claude Code, Codex, Cursor, GitHub Copilot, OpenCode, Gemini CLI, Kilo Code, Qwen Code, Aider, Devin, and others. The dashboard tracks provider-reported token usage, cache reads and writes, costs, sessions, and projected next-message spend across tools that normally keep their data separate. Developers can also launch more than 20 CLI agents as terminal sessions, monitor several repositories from one screen, attach to a running agent, take over the keyboard, and hand control back when needed. Model routing helps teams match tasks to appropriate models, while egress gates can hold commands before execution so users can stop or redirect costly or risky actions.
    Starting Price: $0.90 per month
  • 10
    MiMo-V2.6-Pro-UltraSpeed

    MiMo-V2.6-Pro-UltraSpeed

    Xiaomi Technology

    MiMo-V2.6-Pro-UltraSpeed is a high-speed serving mode for Xiaomi MiMo’s flagship MiMo-V2.6-Pro model, designed for latency-sensitive AI workloads. It delivers the same underlying model quality as MiMo-V2.6-Pro while providing output speeds of up to 20 times faster. The model supports coding, agentic automation, multimodal reasoning, visual design, research, and other complex tool-using workflows. Its capabilities include software engineering, frontend creation, presentation design, 3D modeling, interactive world generation, computer use, and multimodal analysis. MiMo-V2.6-Pro-UltraSpeed is intended for real-time applications where the capabilities of MiMo-V2.6-Pro are needed with substantially faster generation. It is available through MiMo Desktop and the Xiaomi MiMo API Platform.
    Starting Price: $4.35 per 1 million tokens inp
  • 11
    Holo4

    Holo4

    H Company

    Holo4 is a family of generalist agentic AI models from H Company designed to operate software across graphical interfaces, code environments, MCP servers, APIs, desktop applications, the web, and mobile devices. The family includes a 27B dense model and a 35B-A3B Mixture-of-Experts model with 3B active parameters, both supporting a 256K context window. Unlike agents optimized around a single interface, Holo4 can click and type on screens, write and execute code, and call MCP or API tools depending on what a task requires. The models were trained with supervised fine-tuning and reinforcement learning on agentic workflows spanning desktop, web, MCP/API, mobile, coding, multimodal reasoning, and GUI grounding. Holo4 27B achieved 85.2% on OSWorld at a reported cost of $0.08 per task, while Holo4 35B-A3B scored 80.8% at $0.05 per task in H Company's evaluation.
    Starting Price: $0.40 per 1M tokens (input)
  • 12
    GPT-5

    GPT-5

    OpenAI

    GPT-5 is OpenAI’s most advanced AI model, delivering smarter, faster, and more useful responses across a wide range of topics including math, science, finance, and law. It features built-in thinking capabilities that allow it to provide expert-level answers and perform complex reasoning. GPT-5 can handle long context lengths and generate detailed outputs, making it ideal for coding, research, and creative writing. The model includes a ‘verbosity’ parameter for customizable response length and improved personality control. It integrates with business tools like Google Drive and SharePoint to provide context-aware answers while respecting security permissions. Available to everyone, GPT-5 empowers users to collaborate with an AI assistant that feels like a knowledgeable colleague.
    Starting Price: $1.25 per 1M tokens
  • 13
    Superwhisper

    Superwhisper

    Superwhisper

    Superwhisper is a voice-to-text app that lets users dictate, transcribe, and control writing workflows across apps without relying on the keyboard. The platform works on Mac, Windows, and iOS, with voice input that can be used in tools such as Slack, Cursor, Notion, Claude Code, Codex, and other agentic coding apps. Superwhisper supports push-to-talk, custom shortcuts, file transcription, meeting recording, custom modes, vocabulary settings, and AI-enhanced output. Users can create modes for different tasks, languages, tones, formats, prompts, and applications. The platform supports more than 100 languages and lets users choose from models such as GPT, Claude, Llama, Grok, Gemini, and others. Built for fast-moving professionals, developers, writers, and teams, Superwhisper helps turn speech into polished text, commands, transcripts, and AI-ready prompts.
    Starting Price: $8.49 per month
  • 14
    Gemma 3n

    Gemma 3n

    Google DeepMind

    Gemma 3n is our state-of-the-art open multimodal model, engineered for on-device performance and efficiency. Made for responsive, low-footprint local inference, Gemma 3n empowers a new wave of intelligent, on-the-go applications. It analyzes and responds to combined images and text, with video and audio coming soon. Build intelligent, interactive features that put user privacy first and work reliably offline. Mobile-first architecture, with a significantly reduced memory footprint. Co-designed by Google's mobile hardware teams and industry leaders. 4B active memory footprint with the ability to create submodels for quality-latency tradeoffs. Gemma 3n is our first open model built on this groundbreaking, shared architecture, allowing developers to begin experimenting with this technology today in an early preview.
  • 15
    GPT-5.1

    GPT-5.1

    OpenAI

    GPT-5.1 is the latest update in the GPT-5 series, designed to make ChatGPT dramatically smarter and more conversational. The release introduces two distinct model variants: GPT-5.1 Instant, which is described as the most-used model and is now warmer, better at following instructions, and more intelligent; and GPT-5.1 Thinking, which is the advanced reasoning engine that’s been tuned to be easier to understand, faster on straightforward tasks, and more persistent on complex ones. Users' queries are now routed automatically to the variant best-suited to the task. The update emphasizes not just improved raw intelligence but also enhanced communication style; the models are tuned to be more natural, enjoyable to talk to, and better aligned with user intents. The system card addendum notes that GPT-5.1 Instant uses “adaptive reasoning” that lets it decide when to think more deeply before responding, while GPT-5.1 Thinking adapts its thinking time accurately to the question at hand.
  • 16
    GPT-5.2 Thinking
    GPT-5.2 Thinking is the highest-capability configuration in OpenAI’s GPT-5.2 model family, engineered for deep, expert-level reasoning, complex task execution, and advanced problem solving across long contexts and professional domains. Built on the foundational GPT-5.2 architecture with improvements in grounding, stability, and reasoning quality, this variant applies more compute and reasoning effort to generate responses that are more accurate, structured, and contextually rich when handling highly intricate workflows, multi-step analysis, and domain-specific challenges. GPT-5.2 Thinking excels at tasks that require sustained logical coherence, such as detailed research synthesis, advanced coding and debugging, complex data interpretation, strategic planning, and sophisticated technical writing, and it outperforms lighter variants on benchmarks that test professional skills and deep comprehension.
  • 17
    GPT-5.2 Instant
    GPT-5.2 Instant is the fast, capable variant of OpenAI’s GPT-5.2 model family designed for everyday work and learning with clear improvements in information-seeking questions, how-tos and walkthroughs, technical writing, and translation compared to prior versions. It builds on the warmer conversational tone introduced in GPT-5.1 Instant and produces clearer explanations that surface key information upfront, making it easier for users to get concise, accurate answers quickly. GPT-5.2 Instant delivers speed and responsiveness for typical tasks like answering queries, generating summaries, assisting with research, and helping with writing and editing, while incorporating broader enhancements from the GPT-5.2 series in reasoning, long-context handling, and factual grounding. As part of the GPT-5.2 lineup, it shares the same foundational improvements that boost overall reliability and performance across a wide range of everyday activities.
  • 18
    GPT-5.2 Pro
    GPT-5.2 Pro is the highest-capability variant of OpenAI’s latest GPT-5.2 model family, built to deliver professional-grade reasoning, complex task performance, and enhanced accuracy for demanding knowledge work, creative problem-solving, and enterprise-level applications. It builds on the foundational improvements of GPT-5.2, including stronger general intelligence, superior long-context understanding, better factual grounding, and improved tool use, while using more compute and deeper processing to produce more thoughtful, reliable, and context-rich responses for users with intricate, multi-step requirements. GPT-5.2 Pro is designed to handle challenging workflows such as advanced coding and debugging, deep data analysis, research synthesis, extensive document comprehension, and complex project planning with greater precision and fewer errors than lighter variants.
  • 19
    Gemini 3 Flash
    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.
  • 20
    Intent

    Intent

    Augment Code

    Intent is a public beta desktop workspace designed for spec-driven development and multi-agent orchestration, enabling developers to plan, execute, and iterate on complex coding tasks using coordinated AI agents. It places living specifications at the center of the workflow so teams can define what should be built and allow agents to implement it while keeping the spec continuously updated to reflect actual output. It provides a unified environment where multiple agents can run in parallel without conflicts, eliminating the need to juggle terminals, branches, or scattered prompts. Powered by Augment’s Context Engine, each agent shares a deep understanding of the entire codebase, ensuring alignment between planning, execution, and verification stages. Intent supports major state-of-the-art models and allows developers to mix and match them based on task complexity, whether for architecture design, rapid iteration, or deep code analysis.
    Starting Price: $20 per month
  • 21
    GLM Coding Plan
    Z.ai DevPack (GLM Coding Plan) is a subscription-based AI coding platform designed to integrate high-performance language models into existing development tools, enabling a faster, more intelligent, and stable coding workflow. It provides access to advanced models such as GLM-4.7 and GLM-5, which can be used across popular AI coding environments like Claude Code, Cline, OpenCode, and other tools that support OpenAI-compatible APIs. The system allows developers to use natural language programming to describe requirements and automatically generate code, debug issues, and execute tasks, while also offering real-time, context-aware code completion to improve productivity. It includes intelligent debugging and repair capabilities, enabling models to analyze errors, suggest fixes, and maintain smooth execution throughout development. DevPack is designed with a structured interface that AI agents can understand, allowing seamless interaction between tools and models.
  • 22
    Paperclip

    Paperclip

    Paperclip Labs

    Paperclip is an open-source AI agent orchestration platform that enables individuals and organizations to build, manage, and govern teams of autonomous AI agents working toward shared business objectives. Rather than interacting with isolated AI tools, users define company-level goals, assign specialized AI agents to different roles, and oversee execution through a centralized organizational structure. The platform supports agents from multiple providers and runtimes, allowing businesses to coordinate development, marketing, research, operations, content creation, and other workflows through a unified management system. With built-in governance, budgeting, audit trails, and goal alignment, Paperclip helps organizations scale AI-driven work while maintaining transparency and control.
    Starting Price: Free
  • 23
    Superpowers

    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
  • 24
    Tencent Hy

    Tencent Hy

    Tencent

    Tencent HY is a self-developed, general-purpose, and multimodal large model family developed by Tencent, built to provide enterprise-grade AI services for content products, creative production, business automation, and real-world agent workflows. It covers language, image, 3D, translation, and other modalities, combining Tencent’s self-developed large model algorithms with natural language processing and computer vision technology to support higher-quality image creation, 3D generation, and intelligent content applications. Through Tencent Hunyuan AI Studio, users can interact with the model through natural human-computer dialogue, allowing the system to understand instructions, execute tasks, help users obtain information, generate content, and explore model capabilities in a practical workspace. Tencent HY supports API calls and custom parameter settings, making the model family easier to use for developers, product teams, and enterprise applications.
  • 25
    Meta Model API
    Meta Model API is a new developer API for building with Muse Spark 1.1, Meta’s multimodal reasoning model built for agentic tasks, coding, tool use, computer use, and multimodal understanding. Now in public preview, it gives developers a way to access Muse Spark 1.1 through an OpenAI-compatible package, making it easier to point existing clients at the API, keep the same code structure, and set the model to muse-spark-1.1. Muse Spark 1.1 is designed for personal agentic tasks that require planning and orchestration across external apps and services, with the ability to generalize to new native tools, MCP servers, and custom skills. As a main agent, it can gather context, make a plan, and delegate execution across parallel subagents; as a subagent, it follows its role, understands available tools, and knows when to escalate back. The model can actively manage a 1 million-token context window, remember actions, retrieve information from much earlier work, and compact context.
    Starting Price: $1.25 per 1M tokens
  • 26
    AgentScan

    AgentScan

    AgentScan

    AgentScan is a free, deterministic security scanner for AI agent skills. It checks a skill directory (Claude Code, Codex, OpenCode, MCP servers) for prompt injection, secrets, network calls, malware patterns, and obfuscation before you install it. Every finding has file:line evidence and a confidence score. It never runs the skill, never uploads anything, and works offline. Free and open source (MIT); Trust Pack adds 90 pre-audited skills via one command.
    Starting Price: $59/year
  • 27
    epho

    epho

    epho

    Epho turns coding agents into an API, letting developers run Claude Code, Codex, or OpenCode in isolated cloud sandboxes through a single HTTP endpoint. Send a prompt, choose a harness and model, attach repositories and files, connect MCP servers, and pass environment variables or provider credentials; Epho boots the environment, clones the code, wires in the tools, and streams the agent’s work back as it happens. Runs can return live events, tool calls, edits, final answers, and artifacts, or execute asynchronously with polling and webhooks. Chats are durable, so follow-up turns can resume with the same filesystem, checkout, agent session, system prompt, model, and MCP configuration even if the original sandbox is gone. Private GitHub, GitLab, and Bitbucket repositories are supported, and agents can read code, make changes, run tests, and iterate on failures just as they would locally. Every event is persisted, allowing interrupted streams to reconnect without losing the run.
    Starting Price: $0.00013 per GiB per hour
  • 28
    Keenable

    Keenable

    Keenable

    Keenable is an independent web search infrastructure built for AI labs, inference platforms, agents, and developers that need fast, high-quality access to the live web. Its Search API gives AI systems a web-scale index of more than 100 billion documents and is designed for low-latency retrieval, with performance optimized for production agent workloads. Agents can search web pages and fetch page content through a REST API, MCP server, or command-line interface using the same account and API key. It continuously evaluates and improves search quality using its NEEDLE benchmark, which compares retrieval performance across search providers and measures results against an oracle ranking built from pooled results. For larger AI workloads, Keenable supports dedicated search capacity as well as cloud and on-premises deployment options. Its Time Machine capability extends retrieval beyond the current web by providing point-in-time search across historical versions of pages.
  • 29
    Claude Opus 4.1
    Claude Opus 4.1 is an incremental upgrade to Claude Opus 4 that boosts coding, agentic reasoning, and data-analysis performance without changing deployment complexity. It raises coding accuracy to 74.5 percent on SWE-bench Verified and sharpens in-depth research and detailed tracking for agentic search tasks. GitHub reports notable gains in multi-file code refactoring, while Rakuten Group highlights its precision in pinpointing exact corrections within large codebases without introducing bugs. Independent benchmarks show about a one-standard-deviation improvement on junior developer tests compared to Opus 4, mirroring major leaps seen in prior Claude releases.
  • 30
    Claude Sonnet 4.5
    Claude Sonnet 4.5 is Anthropic’s latest frontier model, designed to excel in long-horizon coding, agentic workflows, and intensive computer use while maintaining safety and alignment. It achieves state-of-the-art performance on the SWE-bench Verified benchmark (for software engineering) and leads on OSWorld (a computer use benchmark), with the ability to sustain focus over 30 hours on complex, multi-step tasks. The model introduces improvements in tool handling, memory management, and context processing, enabling more sophisticated reasoning, better domain understanding (from finance and law to STEM), and deeper code comprehension. It supports context editing and memory tools to sustain long conversations or multi-agent tasks, and allows code execution and file creation within Claude apps. Sonnet 4.5 is deployed at AI Safety Level 3 (ASL-3), with classifiers protecting against inputs or outputs tied to risky domains, and includes mitigations against prompt injection.