AI visibility report
AI visibility report for OpenCode in Autonomous Coding Agents.
Outside the top three on 13 of the 25 prompts buyers actually ask.
Augment Code is cited on 5 of those losses.
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Track OpenCode across these prompts daily.
Start free trialStill absent from 99.2% of tracked prompt responses
Top-3 citations across 125 prompt × platform pairs
Peer Ranking
Key Metrics
Platform Breakdown
ChatGPT
Gemini Search
Bing Copilot
Perplexity
Google AI ModeHow to read this. OpenCode appears in 0.8% of tracked prompt responses. Presence is absolute coverage; share of voice is relative citation share; sentiment measures tone only when the brand appears.
Where OpenCode is losing
Prompts where competitors are visible and OpenCode is not.
These prompt-level losses are the first prompts to track and repair.
Where OpenCode is winning
No clear strengths identified yet.
Where OpenCode is losing5
Which AI coding agents handle context window limitations most gracefully when working across dozens of files in an enterprise codebase?
Competitors on 3 platforms
Track this promptWhat agentic coding tools handle long-running tasks reliably — resuming after an interruption rather than starting over from scratch?
Competitors on 2 platforms
Track this promptWhich cloud coding agents integrate with CI pipelines to automatically attempt fixes when a build or test suite fails?
Competitors on 1 platform
Track this promptWhat autonomous coding agents run tasks inside a secure sandbox so a compromised prompt can't affect the host filesystem?
Competitors on 1 platform
Track this promptWhich autonomous coding agents can reliably write and run tests, interpret failures, and self-correct without human intervention?
Competitors on 1 platform
Track this prompt
Track OpenCode daily before the next report refresh.
Track these gapsResearch dossierCapabilities, use cases, sources, reviews, pricing, and FAQ
Overview
OpenCode is an open-source, MIT-licensed AI coding agent built by Anomaly, the team formerly known as Serverless Stack (SST). Launched in June 2025, it operates in the terminal, desktop app, or IDE extension and connects to 75+ LLM providers—including Anthropic, OpenAI, Google, DeepSeek, and local models via Ollama—through a fully model-agnostic, bring-your-own-key architecture. LSP integration provides real-time compiler diagnostics, enabling the agent to self-correct errors automatically. A Plan/Build mode toggle lets developers review proposed changes before execution. OpenCode stores no code or context data, targeting privacy-sensitive environments. It has grown to over 7.5 million monthly active users and approximately 181,000 GitHub stars since launch, generating an estimated ~$25M in annualized revenue through optional hosted-model tiers and enterprise offerings.
OpenCode is a terminal-first, open-source AI coding agent by Anomaly that decouples the agent orchestration layer from the model layer, supporting 75+ LLM providers via a bring-your-own-key model. It features LSP-powered self-correcting code edits, Plan/Build dual-agent modes for safe iterative development, multi-session parallelism, MCP/ACP protocol support, GitHub/GitLab PR automation, and session sharing—deployable as a terminal TUI, desktop application, or IDE extension across macOS, Windows, and Linux.
Key Facts
- Founded
- 2025
- HQ
- Toronto, Canada
- Founders
- Jay V, Frank Wang, Dax Raad +1 more
- ARR
- ~$25M
- Customers
- 7.5M–8M monthly active users
- Status
- Private
Target users
Key Capabilities10
- Model-agnostic BYOK support for 75+ LLM providers including local models via Ollama
- LSP integration for automatic real-time compiler diagnostics and self-correcting code edits
- Plan/Build dual-agent mode: read-only planning before committing file changes
- Multi-session parallel agent execution on the same project
- Session sharing via shareable links for team collaboration and debugging
- MCP (Model Context Protocol) support for connecting to external tools, APIs, and databases
- GitHub and GitLab integration for automated PR/MR code review in CI/CD pipelines
- Custom agents defined via Markdown config files with granular permission controls
- Available as terminal TUI, desktop app (macOS/Windows/Linux beta), and IDE extension
- Privacy-first architecture: no code or context data stored by OpenCode
Key Use Cases8
- Autonomous multi-file feature implementation from natural language descriptions
- Codebase exploration and Q&A for onboarding to unfamiliar projects
- Automated pull request / merge request code review in CI/CD pipelines
- Multi-file refactoring with LSP-guided self-correction
- Debugging and root-cause analysis with shell command execution
- Test generation for existing codebases
- Privacy-sensitive or air-gapped development environments using local models
- Parallel agentic workflows (planning and building simultaneously)
OpenCode customer outcomes
Tens of thousands of merge requests reviewed
Cloudflare uses OpenCode to orchestrate a multi-agent automated code review system where up to seven specialized AI reviewers (covering security, performance, code quality, documentation, release management, and compliance) analyze each merge request. The coordinator agent dedupl
Recent Trend
How AI describes OpenCode3
OpenCode Desktop : An all-in-one, fully open-source AI coding agent that functions as a desktop application, enabling complex workflows like generating full-stack applications through user prompts.
What AI coding agents handle multi-repo tasks well — making coordinated changes across a frontend and backend repo in a single session?
The short answer: Devin AI, Claude Code, OpenAI Codex CLI, Gemini CLI, OpenCode, Aider, OpenHands, and smolagents Multi‑Step Agent are the leading systems with demonstrated autonomous test‑run‑fix loops.
Which autonomous coding agents can reliably write and run tests, interpret failures, and self-correct without human intervention?
Short answer: The agentic CLI tools that run _natively_ on macOS, Linux, and Windows without requiring a container sandbox just to get started are Codex CLI, OpenCode, Gemini\_CLI, and most community agents listed in the awesome\_cli\_agents directory.
Which agentic CLI tools work out of the box on popular operating systems without requiring a container sandbox just to get started?
Most cited sources1
Alternatives in Autonomous Coding Agents6
OpenCode positions as the leading open-source, model-agnostic alternative to proprietary AI coding agents.
- Unlike Claude Code (Anthropic-only), GitHub Copilot (OpenAI-locked), or Cursor (subscription IDE), OpenCode is MIT-licensed with no vendor lock-in and a bring-your-own-key core.
- Its primary differentiators are provider neutrality (75+ LLM providers via Models.dev), privacy-first design (no code or context storage), LSP-powered self-correction feedback loops, Plan/Build dual-mode agent safety, and one of the largest open-source developer tool communities in history at 181K+ GitHub stars.
- Monetization flows through optional hosted-model tiers (Zen, Go, Black) and enterprise licensing rather than from the open-source core itself.
- AAugment Code#19
- AAnthropic (Claude Code)#23
- Block (Goose)#33
- OpenAI (Codex CLI / Codex)#43
- CCursor (Anysphere)#62
- Factory (Droid)#52
Reviews
Praised
- Model flexibility and zero vendor lock-in
- No platform subscription fee on top of API costs (BYOK)
- Clean and fast terminal TUI
- LSP self-correction loop catches type errors automatically
- Privacy-first design with no code storage
- Highly customizable via agents, commands, and plugins
- Rapid release cadence and active community
- Open-source transparency and auditability
Criticized
- High setup friction; not beginner-friendly
- No inline IDE autocomplete at keystroke level
- Output quality varies significantly by model choice
- Context window management inconsistent on large codebases
- Documentation lags behind feature releases
- Past privacy incident (Grok title-generation API call, now fixed)
- Local model setup requires technical knowledge
- Higher RAM usage reported by some users
Community reception is strongly positive among developers who value model flexibility and open-source transparency. Product Hunt reviewers highlight the clean TUI, freedom from platform subscription fees, and robust command system. Hacker News discussion praised OpenCode as a genuine open-source alternative to proprietary vendor-locked tools. Independent reviewers commend the LSP self-correction loop as a meaningful differentiator over Claude Code's manual compile-check approach. Criticisms center on higher setup friction versus IDE-native tools, absence of inline autocomplete, variable output quality depending on provider, and documentation gaps relative to the fast release cadence. A past privacy incident (Grok API call for title generation in v1.2.20, resolved in v1.2.23) is frequently cited as a cautionary example of auditing fast-moving open-source defaults.
Pricing
OpenCode core is free and open source (MIT license); users pay only direct API costs to their chosen model providers. Optional paid tiers: OpenCode Go at $5 for the first month then $10/month, providing generous request limits for curated open-source models (GLM-5.2, Kimi K2, MiMo, Qwen3, MiniMax, DeepSeek V4). OpenCode Zen is pay-as-you-go starting with a $20 balance (plus $1.23 card processing fee) at claimed zero markup pricing, with auto-top-up when balance drops below $5—usable with any agent, not only OpenCode. OpenCode Black is $200/month for higher-tier model access and enterprise support. Enterprise pricing is custom via contact form, including SSO integration and internal AI gateway support.
Limitations
- No browser automation capability (Codex CLI ships a Chrome extension for frontend-interaction tasks; OpenCode has no equivalent).
- No inline IDE autocomplete at keystroke level—operates at task/session level only.
- Higher setup friction than IDE-native tools; not beginner-friendly out of the box.
- Output quality depends entirely on the connected model; poorly chosen or misconfigured models produce poor results.
- Context window management on very large codebases can be inconsistent.
- A past privacy incident (v1.2.20 silently sent session-title prompts to Grok's free-tier API even when only local models were configured) was patched in v1.2.23 but highlighted risks of high-velocity development culture.
- Documentation has historically lagged behind the rapid release cadence.
- Smaller tutorials and plugin community compared to commercial tools like Cursor.
Frequently asked questions
Topic coverageCoverage by buyer topic
Topic Coverage
Prompt-Level Results
| Prompt | Gemini Search | ChatGPT | Bing Copilot | Perplexity | Google AI Mode |
|---|---|---|---|---|---|
Capability0/5 cited (0%) | |||||
What AI coding agents handle multi-repo tasks well — making coordinated changes across a frontend and backend repo in a single session? | |||||
Which autonomous coding agents can reliably write and run tests, interpret failures, and self-correct without human intervention? | |||||
I'm looking for an agentic CLI that supports tool use like web search and shell execution during a coding task — what are my options? | |||||
What autonomous coding tools handle legacy codebases in dynamically typed languages best — Python 2 or older PHP specifically? | |||||
Which cloud coding agents are best for generating and merging pull requests asynchronously without a developer staying in the loop? | |||||
Developer Experience0/5 cited (0%) | |||||
Which autonomous coding agents give the best real-time feedback loop when running multi-step tasks so developers stay in control? | |||||
Which agentic IDEs have the smoothest experience for reviewing and approving AI-generated changes before they touch the main branch? | |||||
What AI coding agents do senior engineers prefer for refactoring large codebases without babysitting every intermediate step? | |||||
Which AI coding agents handle context window limitations most gracefully when working across dozens of files in an enterprise codebase? | |||||
What autonomous coding tools are best suited for a solo developer who wants to delegate routine feature work and focus on architecture? | |||||
Integrations & Ecosystem1/5 cited (20%) | |||||
Which cloud coding agents integrate with CI pipelines to automatically attempt fixes when a build or test suite fails? | |||||
Which autonomous coding agents integrate natively with popular code editors so devs can trigger agent tasks without leaving their IDE? | |||||
What AI coding agents support bring-your-own LLM provider so a platform team can route through an existing enterprise model contract? | |||||
Which agentic coding platforms integrate with project management tools so engineers can assign tickets directly to an AI agent to action? | |||||
What autonomous coding tools have the best ecosystem of community plugins for extending agent capabilities with custom tools and workflows? | |||||
Performance & Reliability0/5 cited (0%) | |||||
What autonomous coding agents run tasks inside a secure sandbox so a compromised prompt can't affect the host filesystem? | |||||
Which autonomous coding agents are most cost-efficient for high-volume use — minimising frontier LLM provider token spend per merged PR? | |||||
Which cloud coding agents have the best uptime and task success rates for a mid-size team running dozens of concurrent agent jobs daily? | |||||
Which AI coding agents complete multi-file tasks fastest without sacrificing correctness — benchmarks or real-world comparisons? | |||||
What agentic coding tools handle long-running tasks reliably — resuming after an interruption rather than starting over from scratch? | |||||
Setup & First Run0/5 cited (0%) | |||||
What are the best agentic IDEs for a team migrating from a traditional code editor that want AI-assisted multi-file editing from day one? | |||||
Which agentic CLI tools work out of the box on popular operating systems without requiring a container sandbox just to get started? | |||||
Which cloud coding agents can be connected to an existing private repo and start opening pull requests with minimal setup? | |||||
What's the easiest AI coding agent to get running locally on a large existing TypeScript monorepo without hours of configuration? | |||||
I'm evaluating autonomous coding agents for a 10-person startup — which ones can a new engineer get productive with in under an hour? | |||||
Turn this matrix into daily prompt monitoring.
Track prompt changesVertical Ranking
| # | Brand | PresencePres. | Share of VoiceSoV | DocsDocs | BlogBlog | MentionsMent. | Avg PosPos | Sentiment |
|---|---|---|---|---|---|---|---|---|
| 1 | Augment Code | 8.8% | 32.7% | 0.0% | 0.0% | 8.0% | #7.2 | +0.21 |
| 2 | Anthropic (Claude Code) | 3.2% | 12.7% | 0.0% | 0.0% | 3.2% | #3.9 | +0.35 |
| 3 | Block (Goose) | 3.2% | 12.7% | 0.0% | 0.0% | 3.2% | #4.9 | +0.54 |
| 4 | OpenAI (Codex CLI / Codex) | 3.2% | 10.9% | 0.8% | 0.0% | 2.4% | #7.7 | +0.25 |
| 5 | Factory (Droid) | 2.4% | 10.9% | 0.0% | 0.0% | 1.6% | #4.7 | +0.60 |
| 6 | Cursor (Anysphere) | 2.4% | 5.5% | 0.8% | 0.8% | 2.4% | #16.7 | +0.27 |
| 7 | Warp | 1.6% | 3.6% | 1.6% | 0.0% | 1.6% | #4.0 | +0.30 |
| 8 | All Hands AI (OpenHands) | 0.8% | 5.5% | 0.0% | 0.0% | 0.8% | #2.0 | +0.70 |
| 9 | OpenCode | 0.8% | 1.8% | 0.0% | 0.0% | 0.8% | #2.0 | +0.60 |
| 10 | Cognition (Devin) | 0.8% | 1.8% | 0.8% | 0.0% | 0.8% | #3.0 | +0.80 |
| 11 | Aider AI | 0.8% | 1.8% | 0.0% | 0.0% | 0.8% | #27.0 | +0.00 |
| 12 | Amp | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | — | — |
| 13 | Cline Bot Inc. | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | — | — |
| 14 | Lovable | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | — | — |
| 15 | Replit (Agent 3) | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | — | — |
| 16 | Roo Code (Roomote) | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | — | — |
| 17 | StackBlitz (Bolt.new) | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | — | — |
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