Best Agentic AI Platforms for OpenCode
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Compare the Top Agentic AI Platforms that integrate with OpenCode as of July 2026
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This a list of Agentic AI platforms that integrate with OpenCode. Use the filters on the left to add additional filters for products that have integrations with OpenCode. View the products that work with OpenCode in the table below.
What are Agentic AI Platforms for OpenCode?
Agentic AI platforms enable organizations to build, deploy, and manage autonomous or semi-autonomous AI agents that can plan, reason, and take actions across systems. These platforms provide tools for agent orchestration, memory management, tool integration, and decision-making workflows. They often support multi-agent collaboration, monitoring, and governance to ensure reliability and compliance. Many agentic AI platforms integrate with enterprise applications, data sources, and APIs to execute complex tasks end to end. By operationalizing intelligent agents, agentic AI platforms help businesses automate knowledge work and scale AI-driven operations. Compare and read user reviews of the best Agentic AI platforms for OpenCode currently available using the table below. This list is updated regularly.
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1
Devin Desktop
Cognition
Devin Desktop (formerly Windsurf) is an AI-powered development environment that combines a full-featured IDE with advanced coding agents in a unified workspace. Formerly known as Windsurf, the platform enables developers to manage local and cloud-based AI agents, delegate tasks, review code, and ship software without leaving their editor. Developers can use multiple coding agents simultaneously to research, write, test, debug, and improve code while maintaining full visibility into every change. Devin Desktop includes features such as agent orchestration, shared workspaces, intelligent code completion, contextual code search, and integrated review tools. The platform supports a wide range of models, extensions, language servers, and MCP integrations, allowing teams to work with their preferred tools and workflows. Devin Desktop helps engineering teams accelerate software development, improve productivity, and manage AI-assisted coding at scale.Starting Price: Free -
2
GitHub Copilot
GitHub
GitHub Copilot is an AI-powered development assistant designed to accelerate software workflows from the editor to the enterprise. It works directly inside popular IDEs, terminals, and GitHub itself to help developers write, understand, and improve code faster. Copilot supports multiple leading large language models, allowing users to optimize for speed, accuracy, or cost. Developers can use Copilot to complete code, explain concepts, propose edits, and validate files in real time. It also enables agent-based workflows where Copilot can autonomously handle issues, write code, and create pull requests. With seamless integration across tools, Copilot keeps developers focused without breaking their flow. GitHub Copilot is built to scale from individual developers to large organizations with enterprise-grade controls.Starting Price: $10 per month -
3
Claude
Anthropic
Claude is a next-generation AI assistant developed by Anthropic to help individuals and teams solve complex problems with safety, accuracy, and reliability at its core. It is designed to support a wide range of tasks, including writing, editing, coding, data analysis, and research. Claude allows users to create and iterate on documents, websites, graphics, and code directly within chat using collaborative tools like Artifacts. The platform supports file uploads, image analysis, and data visualization to enhance productivity and understanding. Claude is available across web, iOS, and Android, making it accessible wherever work happens. With built-in web search and extended reasoning capabilities, Claude helps users find information and think through challenging problems more effectively. Anthropic emphasizes security, privacy, and responsible AI development to ensure Claude can be trusted in professional and personal workflows.Starting Price: Free -
4
Cursor
Cursor
Cursor is an advanced AI-powered IDE designed to make developers exponentially more productive. Built with deep codebase understanding and intelligent automation, it combines natural language interaction with precise, context-aware editing tools. Its Agent feature acts as a human-AI coding partner capable of planning and executing entire development workflows, while the Tab model delivers remarkably accurate autocompletion and targeted suggestions. Cursor seamlessly integrates across environments—from GitHub and Slack to the command line—ensuring AI assistance is available wherever you code. Supporting leading models like GPT-5, Claude Sonnet, Gemini Pro, and Grok Code, it gives developers full control over autonomy and model selection. Fast, intuitive, and built for serious builders, Cursor is redefining what an IDE can be.Starting Price: $20 per month -
5
Claude Code
Anthropic
Claude Code is an AI-powered coding agent designed to work directly inside your existing development environment. It goes beyond simple autocomplete by understanding entire codebases and helping developers build, debug, refactor, and ship features faster. Developers can interact with Claude Code from the terminal, IDEs, Slack, or the web, making it easy to stay in flow without switching tools. By describing tasks in natural language, users can let Claude handle code exploration, modifications, and explanations. Claude Code can analyze project structure, dependencies, and architecture to onboard developers quickly. It integrates with common command-line tools, version control systems, and testing workflows. This makes it a powerful companion for both individual developers and teams working on complex software projects.Starting Price: $20/month -
6
GPT-4.1
OpenAI
GPT-4.1 is an advanced AI model from OpenAI, designed to enhance performance across key tasks such as coding, instruction following, and long-context comprehension. With a large context window of up to 1 million tokens, GPT-4.1 can process and understand extensive datasets, making it ideal for tasks like software development, document analysis, and AI agent workflows. Available through the API, GPT-4.1 offers significant improvements over previous models, excelling at real-world applications where efficiency and accuracy are crucial.Starting Price: $2 per 1M tokens (input) -
7
Claude Opus 4
Anthropic
Claude Opus 4 represents a revolutionary leap in AI model performance, setting a new standard for coding and reasoning capabilities. As the world’s best coding model, Opus 4 excels in handling long-running, complex tasks, and agent workflows. With sustained performance that can run for hours, it outperforms all prior models—including the Sonnet series—making it ideal for demanding coding projects, research, and AI agent applications. It’s the model of choice for organizations looking to enhance their software engineering, streamline workflows, and improve productivity with remarkable precision. Now available on Anthropic API, Amazon Bedrock, and Gemini Enterprise Agent Platform, Opus 4 offers unparalleled support for coding, debugging, and collaborative agent tasks.Starting Price: $15 / 1 million tokens (input) -
8
Claude Sonnet 4
Anthropic
Claude Sonnet 4, the latest evolution of Anthropic’s language models, offers a significant upgrade in coding, reasoning, and performance. Designed for diverse use cases, Sonnet 4 builds upon the success of its predecessor, Claude Sonnet 3.7, delivering more precise responses and better task execution. With a state-of-the-art 72.7% performance on the SWE-bench, it stands out in agentic scenarios, offering enhanced steerability and clear reasoning capabilities. Whether handling software development, multi-feature app creation, or complex problem-solving, Claude Sonnet 4 ensures higher code quality, reduced errors, and a smoother development process.Starting Price: $3 / 1 million tokens (input) -
9
Grok Code Fast 1
SpaceXAI
Grok Code Fast 1 is a high-speed, economical reasoning model designed specifically for agentic coding workflows. Unlike traditional models that can feel slow in tool-based loops, it delivers near-instant responses, excelling in everyday software development tasks. Built from scratch with a programming-rich corpus and refined on real-world pull requests, it supports languages like TypeScript, Python, Java, Rust, C++, and Go. Developers can use it for everything from zero-to-one project building to precise bug fixes and codebase Q&A. With optimized inference and caching techniques, it achieves impressive responsiveness and a 90%+ cache hit rate when integrated with partners like GitHub Copilot, Cursor, and Cline. Offered at just $0.20 per million input tokens and $1.50 per million output tokens, Grok Code Fast 1 strikes a strong balance between speed, performance, and affordability.Starting Price: $0.20 per million input tokens -
10
Emdash
Emdash
Emdash is an orchestration layer that lets you run multiple coding agents in parallel, each in its own isolated Git worktree, so you can simultaneously spin up different agents to tackle independent subtasks or experiments without interference. It’s provider-agnostic, meaning you can pick from various AI models and CLIs (for example, Claude Code, Codex, and others) to fit your workflow. With Emdash, you can assign issues or tickets (from Linear, GitHub, or Jira) directly to a chosen agent, then watch multiple agents operate side by side in real time. The UI shows live agent status and activity, and once agents generate code, you can review diffs, comment, and open pull requests, all without leaving Emdash. Because every agent runs in a separate worktree, changes stay sandboxed and comparable, enabling you to test different implementations or strategies side-by-side safely.Starting Price: Free -
11
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 -
12
Worktale
Worktale
Worktale is a local-first developer tool that transforms git history into a structured, persistent record of everything a developer builds, combining code activity tracking with AI usage insights in a single system. It operates primarily as a lightweight CLI with an optional desktop interface, scanning repositories to generate a complete work journal based on commit metadata such as timestamps, messages, and line changes, without ever accessing source code. It automatically captures development activity through a post-commit hook or batch import, compiling daily digests that summarize progress, decisions, and output, which can be edited and reused for status updates, performance reviews, or documentation. It includes visual dashboards with streak tracking, contribution heatmaps, and historical analytics, allowing developers to understand productivity patterns over time.Starting Price: $9 per month -
13
Subspace
Subspace
Subspace is an AI-native agent workspace designed to help developers and teams manage, coordinate, and collaborate with multiple coding agents in a single unified environment while preserving context across sessions. Instead of treating each AI interaction as isolated, the platform builds persistent memory in the background by compressing every conversation into structured observations such as decisions, blockers, and progress, which are continuously synthesized into a clear, evolving project state. This shared memory belongs to the workspace rather than any individual tool, allowing different agents like Claude Code, Codex, or others to seamlessly pick up where previous sessions left off without requiring repeated explanations or manual context transfer. Subspace integrates terminals, files, documentation, browser views, and git workflows into organized workspaces, enabling users to run multiple agents side by side and switch between projects almost instantly.Starting Price: $12 per month -
14
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 -
15
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 -
16
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 -
17
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 -
18
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 -
19
Hindsight
Vectorize
Hindsight is an agent memory system built to create smarter AI agents that learn over time instead of starting every conversation from zero. Most agent memory systems focus on recalling conversation history, but Hindsight is focused on making agents learn, not just remember. It gives AI agents persistent long-term memory using biomimetic data structures, helping them retain facts, recall relevant context, and reflect on experience as part of reasoning. Hindsight is designed for agents that need to understand who a user is, what has been discussed, what preferences have emerged, what decisions were made, and how behavior should adapt across sessions. It provides three core operations: retain, recall, and reflect. Retain stores new information, recall retrieves the right memories when needed, and reflect helps agents synthesize observations, form mental models, and learn from prior interactions.Starting Price: Free -
20
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 -
21
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 -
22
AgentKey
AgentKey
AgentKey connects your AI agents to the world with one key for the external data they need to do real work. Your agent may know what to do, but to actually do it, they need to find the right API, get the right access, and handle every service. AgentKey handles that layer so the agent can search widely, read pages, pull social takes, and add finance, ecommerce, business, crypto, or on-chain context in one pass. Built for Claude Code, Codex, Cursor, Windsurf, Gemini CLI, OpenClaw, Hermes, Antigravity, Warp, and any platform that supports MCP or Skills files, AgentKey gives agents access to search, scraping, social media, finance, ecommerce, cryptocurrency, and business data without forcing users to juggle separate provider dashboards. Search routes include services like Brave Search, Tavily, Serper, Perplexity, Parallel, and Exa, while scraping routes use tools such as Firecrawl, Jina, and Bright Data to turn web pages into usable content.Starting Price: $9.90 per month -
23
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 -
24
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 -
25
Claude Sonnet 4.5
Anthropic
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. -
26
HQ
Indigo AI
HQ is the shared AI context layer for teams, giving the whole team and every AI tool one workspace to work from, with knowledge, skills, and workflows compounding in one place, and any agent running on top. It works as an operating system for AI workers over Claude Code, Cursor, Codex, ChatGPT, and Claude chat through MCP, so every teammate and every agent can start from the same shared context instead of separate chat histories, scattered files, and siloed workflows. HQ turns one person’s best work into team infrastructure: any prompt or workflow can become a reusable /command, then /hq-sync ships it to the whole team so anyone can run it in one step. Knowledge that usually lives across decisions, docs, playbooks, policies, projects, code, and ideas accumulates in HQ as the team works, creating one source of truth that every agent can search, reuse, and build on. Agents can be deployed into email and Slack, acting on top of the team’s skills and knowledge with full context. -
27
condense.chat
condense.chat
condense.chat is an LLM input compression API and drop-in proxy that shrinks prompts, retrieved documents, tool outputs, and repeated agent context before they hit upstream models. Less context, same Claude Code; its harness intercepts an agent’s growing session history and passes it through compression models before it reaches the main model, helping long-running coding agents start each next turn with fewer tokens. Condense sits between an app and the upstream LLM provider, tracks the conversation as a content-addressed chain, and transparently compresses repeated context on the way upstream. Developers can point their SDK at the Condense provider route, add a Condense key, keep their existing provider key, and change nothing else. It supports Anthropic and OpenAI-compatible routes, plus pass-through behavior for other provider paths such as model lists and embeddings.
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