{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"warp","slug":"warp","name":"Warp","type":"cli","url":"https://www.warp.dev","page_url":"https://unfragile.ai/warp","categories":["cli-tools","code-editors","automation"],"tags":[],"pricing":{"model":"free","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"warp__cap_0","uri":"capability://automation.workflow.block.based.terminal.output.navigation.and.structured.command.history","name":"block-based terminal output navigation and structured command history","description":"Warp organizes terminal output into discrete, navigable blocks rather than streaming text, enabling users to jump between command results, search within output blocks, and review command history as structured objects. Each command execution creates a block containing input, output, and metadata (execution time, exit code), allowing non-linear navigation through terminal sessions without scrolling through raw text streams.","intents":["I want to quickly jump back to a specific command's output without scrolling through hundreds of lines","I need to review and compare outputs from multiple commands in the same session","I want to search for a specific result across my terminal history without grepping logs"],"best_for":["developers managing long-running terminal sessions with many commands","teams reviewing shared terminal sessions for debugging or knowledge transfer","power users who need rapid navigation through command history"],"limitations":["block-based structure may not preserve exact formatting of legacy terminal output (ANSI escape sequences, raw text alignment)","searching within blocks requires indexing overhead that could impact real-time command execution latency","export/portability of block-structured history to standard terminal formats (e.g., plain text logs) may lose metadata"],"requires":["Warp terminal application installed (Mac support confirmed, Windows support unknown)","shell with standard output/error streams (bash, zsh, fish, etc.)"],"input_types":["shell commands (text)","multi-line command input"],"output_types":["structured command blocks (JSON or proprietary format)","searchable command history","shareable session objects"],"categories":["automation-workflow","terminal-ui"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"warp__cap_1","uri":"capability://text.generation.language.natural.language.to.shell.command.translation.with.ai.suggestions","name":"natural language to shell command translation with ai suggestions","description":"Warp translates natural language prompts into executable shell commands using LLM inference, providing intelligent command suggestions based on user intent. The system accepts free-form English descriptions of desired actions and returns shell-syntax-correct commands with explanations, reducing cognitive load of command syntax lookup. Mechanism for prompt engineering and model selection is not publicly documented, but system supports multiple LLM providers (OpenAI, Anthropic, Google).","intents":["I want to find the right shell command without memorizing syntax or searching documentation","I need to translate a complex multi-step task into a pipeline of shell commands","I want to learn shell syntax by seeing AI-generated examples with explanations"],"best_for":["developers new to shell scripting or unfamiliar with specific command syntax","power users who want to avoid context-switching to documentation","teams standardizing on Warp for consistent command discovery across developers"],"limitations":["AI model accuracy depends on prompt clarity; ambiguous natural language may generate incorrect commands","command suggestions are not executed automatically — user must review and approve before running, adding latency to workflow","free tier includes limited AI credits (amount unspecified), requiring upgrade to Build tier ($18/month) for consistent usage","model selection and version are not user-configurable on Free/Build tiers; Enterprise tier allows bring-your-own-LLM"],"requires":["Warp terminal application","API key for LLM provider (OpenAI, Anthropic, or Google) OR free tier AI credits","internet connectivity for cloud-based LLM inference (local inference not mentioned)"],"input_types":["natural language text (English)","multi-line descriptions"],"output_types":["shell command syntax (bash, zsh, fish, etc.)","command explanation text","multiple command suggestions (ranked by relevance)"],"categories":["text-generation-language","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"warp__cap_10","uri":"capability://automation.workflow.team.collaboration.with.saml.sso.and.seat.based.licensing","name":"team collaboration with saml sso and seat-based licensing","description":"Warp's Business tier enables team collaboration with SAML-based single sign-on (SSO) for centralized identity management and seat-based licensing (up to 50 seats per team). Teams can share Warp Drive objects (unlimited on Build+ tiers), collaborative notebooks, and session history. Enforced Zero Data Retention across the team ensures consistent privacy policies. Team management features (adding/removing users, role-based access) are not documented.","intents":["I want to set up Warp for my team with centralized identity management (SAML SSO) instead of managing individual accounts","I need to control team member access to shared sessions, notebooks, and code without managing permissions manually","I want to ensure my entire team follows the same data retention and privacy policies"],"best_for":["engineering teams (5-50 people) wanting to standardize on Warp","organizations with existing SAML identity providers (Okta, Azure AD, etc.)","teams with strict compliance requirements (enforced Zero Data Retention)"],"limitations":["Business tier is $45/user/month, which is expensive for large teams (10-person team = $450/month)","seat limit is 50 users; teams larger than 50 require Enterprise tier with custom pricing","team management features are not documented; unclear if there are role-based access controls (admin, member, viewer)","SAML SSO is mentioned but specific identity providers supported are not listed","enforced Zero Data Retention on Business tier may reduce functionality (conversation history, session sharing) for the entire team","no mention of team-level audit logs or activity monitoring"],"requires":["Warp Business tier ($45/user/month)","SAML identity provider (Okta, Azure AD, etc.)","team members with accounts on identity provider"],"input_types":["SAML configuration (metadata URL, certificates)","team member email addresses"],"output_types":["team member accounts (auto-provisioned via SAML)","shared Warp Drive objects","collaborative notebooks"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"warp__cap_11","uri":"capability://tool.use.integration.third.party.cli.agent.integration.and.toolbelt.abstraction","name":"third-party cli agent integration and toolbelt abstraction","description":"Warp integrates with third-party CLI agents (Claude Code, Codex, OpenCode) and provides a unified toolbelt abstraction that allows these agents to access Warp's capabilities (code editing, command execution, file operations, codebase indexing) without reimplementing them. Agents communicate with Warp via a standard interface (likely MCP or similar protocol, not documented), enabling interoperability between different agent implementations. This allows users to choose their preferred agent while leveraging Warp's infrastructure.","intents":["I want to use Claude Code or another third-party agent with Warp's codebase indexing and code editing features","I need to run multiple different agents on the same codebase and compare their outputs","I want to build a custom agent that integrates with Warp's toolbelt without reimplementing file operations and command execution"],"best_for":["developers who prefer specific agent implementations (Claude Code, Codex, etc.) but want Warp's infrastructure","teams evaluating multiple agents and wanting to use them interchangeably","developers building custom agents who want to leverage Warp's toolbelt"],"limitations":["third-party agent integration mechanism is not documented; unclear if agents must be installed separately or if Warp provides built-in support","toolbelt abstraction is not documented; unclear what operations are available to agents (file I/O, command execution, codebase indexing, etc.)","agent communication protocol is not documented; unclear if it's MCP, gRPC, REST, or custom","compatibility between agents and Warp versions is not documented; updates to either could break integration","no mention of agent sandboxing or resource limits; unclear if agents can access arbitrary files or only project files","licensing for third-party agents is separate from Warp; users must manage multiple API keys and subscriptions"],"requires":["Warp terminal application","third-party agent CLI tool (Claude Code, Codex, OpenCode, etc.) installed and configured","API key for third-party agent provider"],"input_types":["agent selection (Claude Code, Codex, OpenCode, etc.)","task descriptions"],"output_types":["agent execution results","code changes","command execution output"],"categories":["tool-use-integration","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"warp__cap_12","uri":"capability://data.processing.analysis.ai.credit.consumption.tracking.and.usage.analytics","name":"ai credit consumption tracking and usage analytics","description":"Warp provides usage analytics and credit consumption tracking, allowing users to monitor their AI spending and understand which features consume the most credits. Analytics dashboard (location and UI not documented) shows credit usage by operation type, model, and time period. This enables users to optimize their usage and predict when they'll need to upgrade tiers. Specific metrics tracked (operations per day, cost per operation, model distribution) are not documented.","intents":["I want to understand how many credits I'm using and which features are consuming the most","I need to predict when I'll exhaust my monthly credit budget and plan upgrades accordingly","I want to optimize my AI usage to reduce costs without sacrificing productivity"],"best_for":["individual developers managing their AI spending","teams with fixed AI budgets who need visibility into consumption","organizations optimizing cloud costs"],"limitations":["analytics dashboard location and UI are not documented; unclear if it's in Warp terminal, web dashboard, or settings","metrics tracked are not documented; unclear if analytics show credit consumption by operation type, model, time period, or user","no mention of alerts or notifications when approaching credit limits; users must manually check analytics","no mention of cost optimization recommendations; users must manually analyze usage patterns","analytics may have latency; real-time credit consumption tracking is not mentioned","no mention of historical data retention; unclear how far back analytics go"],"requires":["Warp terminal application","active subscription (Free tier with credits, Build tier, Max tier, or Business tier)"],"input_types":["time range selection (day, week, month, custom)"],"output_types":["credit consumption metrics (total, by operation type, by model, by user)","usage trends (graphs, charts)","cost projections"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"warp__cap_2","uri":"capability://code.generation.editing.codebase.aware.ai.code.generation.and.refactoring.with.indexing","name":"codebase-aware ai code generation and refactoring with indexing","description":"Warp indexes the user's codebase (with tier-based limits: Free < Build < Max) and uses this context to generate code, refactor existing code, and suggest fixes that respect project structure, naming conventions, and dependencies. The indexing system maintains a semantic understanding of code relationships, enabling AI agents to write code that integrates with existing modules without manual context passing. Specific indexing mechanism (vector embeddings, AST parsing, or hybrid) is not documented.","intents":["I want AI to generate code that fits my project's architecture and style without me manually copying context","I need to refactor a function across multiple files while maintaining consistency with the rest of the codebase","I want AI to suggest fixes for bugs by understanding the full codebase context, not just the broken file"],"best_for":["individual developers working on medium-to-large codebases (< 100K LOC on Free tier)","teams using Build/Max tiers with higher indexing limits for enterprise codebases","developers who want AI assistance without manually copying code context into prompts"],"limitations":["codebase indexing has tier-based limits (Free tier has lowest limits, Max tier has highest); very large codebases (> 1M LOC) may exceed Max tier limits","indexing latency is not documented; initial codebase indexing could block terminal responsiveness","index freshness is not specified; code changes may not be reflected immediately in AI suggestions if index is stale","supported languages for indexing are not explicitly listed; may not support all languages equally","indexing requires uploading codebase to Warp cloud (unless Enterprise self-hosting); raises data privacy concerns for proprietary code"],"requires":["Warp terminal application","codebase on local filesystem or accessible via SSH","Build tier ($18/month) or higher for meaningful codebase indexing (Free tier has limited indexing)","API key for LLM provider (OpenAI, Anthropic, Google) OR sufficient AI credits"],"input_types":["code files (multiple languages)","natural language refactoring requests","bug descriptions"],"output_types":["generated code snippets","refactored code with diffs","fix suggestions with explanations"],"categories":["code-generation-editing","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"warp__cap_3","uri":"capability://planning.reasoning.local.agent.execution.with.user.approval.gates.for.code.and.command.actions","name":"local agent execution with user approval gates for code and command actions","description":"Warp's local agents execute multi-step tasks (code generation, debugging, command execution) within the terminal application with mandatory user approval before each action. Agents operate in a loop: plan task → propose action → wait for user approval → execute → interpret results → propose next action. This architecture prevents unintended destructive actions while maintaining agent autonomy for reasoning and planning. Local agents run in-process with the Warp terminal, providing real-time feedback and user control.","intents":["I want an AI agent to debug my code and fix errors, but I need to review and approve each change before it's applied","I need to run a multi-step task (e.g., refactor code, run tests, update dependencies) with AI guidance but human oversight","I want to steer an agent mid-task if it's going in the wrong direction without restarting from scratch"],"best_for":["individual developers who want AI assistance with code changes but need safety guarantees","teams with strict code review requirements who want to use agents as first-pass reviewers","developers working on critical systems where unreviewed changes are unacceptable"],"limitations":["approval gates add latency to agent execution; each action requires user interaction, slowing down multi-step tasks","agent reasoning is not transparent; users see proposed actions but not the reasoning chain or alternative options considered","local agent execution is limited to single-machine context; cannot coordinate across multiple repositories or machines","agent capabilities are constrained to Warp's built-in toolbelt (code editing, command execution, file operations); custom tools require cloud agents","no built-in rollback mechanism; if user approves a destructive action, recovery requires manual intervention"],"requires":["Warp terminal application","API key for LLM provider (OpenAI, Anthropic, Google) OR sufficient AI credits","codebase on local filesystem","shell with standard command execution (bash, zsh, fish, etc.)"],"input_types":["natural language task descriptions","code files","shell commands"],"output_types":["proposed actions (code changes, commands to run)","execution results (stdout, stderr, file diffs)","multi-step task completion status"],"categories":["planning-reasoning","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"warp__cap_4","uri":"capability://automation.workflow.cloud.agent.orchestration.with.trigger.based.automation.and.background.execution","name":"cloud agent orchestration with trigger-based automation and background execution","description":"Warp's cloud agents execute tasks asynchronously on Warp infrastructure (or self-hosted on Enterprise tier) triggered by external events (Slack messages, Linear issues, GitHub PRs, custom webhooks) or schedules. Agents can run in parallel across multiple repositories and tasks, with full observability and auditability. Cloud agents support integration with third-party CLI agents (Claude Code, Codex, OpenCode) and Warp's built-in agent toolbelt. Execution happens in background without requiring user terminal to remain open.","intents":["I want to automatically review pull requests and suggest changes when they're created, without manual intervention","I need to run routine maintenance tasks (dependency updates, code cleanup) on a schedule across multiple repositories","I want to triage GitHub issues and assign them based on content, triggered by issue creation"],"best_for":["engineering teams automating repetitive tasks (PR reviews, dependency updates, issue triage)","organizations with strict audit requirements (cloud agents provide full execution logs)","teams using Slack/Linear/GitHub and wanting to integrate AI automation into existing workflows"],"limitations":["cloud agent execution requires Warp infrastructure (default) or Enterprise self-hosting; no local-only option for background automation","free tier has limited cloud agent access (amount unspecified); Build tier and above required for meaningful usage","agent execution latency is not guaranteed; background execution may have variable delays depending on Warp infrastructure load","parallel execution limits are not documented; scale limits for concurrent agents across multiple repos are unknown","integration with third-party CLI agents (Claude Code, Codex) requires those tools to be installed and configured separately","custom triggers beyond Slack/Linear/GitHub/webhooks require custom webhook implementation by user"],"requires":["Warp Build tier ($18/month) or higher","API keys for external services (Slack, Linear, GitHub, etc.) for trigger integration","API key for LLM provider (OpenAI, Anthropic, Google) OR sufficient AI credits","for self-hosted cloud agents: Enterprise tier + customer infrastructure (Kubernetes, Docker, etc.)"],"input_types":["trigger events (Slack messages, GitHub PRs, Linear issues, webhook payloads)","schedule definitions (cron syntax or UI-based scheduling)","task descriptions (natural language or structured)"],"output_types":["execution logs (stdout, stderr, structured JSON)","task completion status","integration responses (Slack messages, GitHub PR comments, Linear issue updates)"],"categories":["automation-workflow","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"warp__cap_5","uri":"capability://automation.workflow.session.sharing.and.collaborative.terminal.notebooks","name":"session sharing and collaborative terminal notebooks","description":"Warp enables users to share terminal sessions (command history, output blocks, and context) with team members via shareable links or Warp Drive objects. Shared sessions are read-only snapshots of terminal state at time of sharing, allowing asynchronous review and discussion. Collaborative notebooks (mentioned in artifact description but details unknown) extend session sharing to support interactive, multi-user editing and annotation. Sharing mechanism uses Warp's cloud infrastructure to store and serve session objects.","intents":["I want to share a debugging session with a teammate so they can see exactly what commands I ran and what the output was","I need to document a complex workflow or deployment process as a shareable notebook that the team can reference","I want to collaborate with teammates on a terminal session in real-time, with both of us able to run commands and see results"],"best_for":["engineering teams doing pair debugging or knowledge transfer","teams documenting runbooks or deployment procedures","organizations with distributed teams needing asynchronous collaboration"],"limitations":["shared sessions are snapshots, not live streams; changes made after sharing are not reflected in shared link","real-time collaboration details are unknown; unclear if multiple users can simultaneously execute commands in shared session","Warp Drive objects are tied to Warp platform; no standard export format for portability to other tools","free tier has limited Warp Drive storage (amount unspecified); Build tier and above have unlimited objects","sharing permissions are not documented; unclear if shared sessions can be restricted to specific users or teams","collaborative notebooks are mentioned but implementation details are completely unknown (real-time sync, conflict resolution, etc.)"],"requires":["Warp terminal application","Warp account for both sharer and recipient","internet connectivity to access Warp cloud infrastructure","for collaborative notebooks: Build tier or higher (unlimited Warp Drive objects)"],"input_types":["terminal sessions (command history, output blocks)","notebook annotations and comments"],"output_types":["shareable session links (URL)","Warp Drive objects (proprietary format)","collaborative notebook documents"],"categories":["automation-workflow","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"warp__cap_6","uri":"capability://tool.use.integration.multi.model.llm.provider.abstraction.with.credit.based.consumption","name":"multi-model llm provider abstraction with credit-based consumption","description":"Warp abstracts multiple LLM providers (OpenAI, Anthropic, Google) behind a unified interface, allowing users to switch models without changing workflows. The system uses a credit-based consumption model where each AI operation (command suggestion, code generation, agent execution) consumes credits from the user's monthly allocation. Free tier includes limited credits (amount unspecified); Build tier provides 1,500 credits/month; Max tier provides 18,000 credits/month. Users can bring their own API keys (Build tier+) to use their own LLM provider accounts instead of Warp credits.","intents":["I want to use different LLM models (GPT-4, Claude, Gemini) for different tasks without managing separate API keys","I need to control my AI spending with a predictable monthly credit budget instead of pay-per-token pricing","I want to use my own LLM API account instead of relying on Warp's infrastructure"],"best_for":["individual developers wanting flexibility in model selection without API key management","teams with predictable AI usage who prefer fixed monthly costs over variable pay-per-token","enterprises with existing LLM provider contracts who want to use their own accounts"],"limitations":["free tier credit amount is unspecified; users cannot predict when they'll exhaust free credits","cost per credit is not documented; users cannot calculate true cost of operations (e.g., cost per code generation)","model versions are not user-selectable; Warp chooses which version of each provider's model to use","bring-your-own-API-key option requires Build tier ($18/month) or higher; free tier users cannot use external API keys","credit system is opaque; no breakdown of credit consumption by operation type (command suggestion vs. code generation vs. agent execution)","no credit rollover; unused credits expire at end of month, incentivizing overprovisioning"],"requires":["Warp terminal application","for free tier: Warp account with free credits","for Build tier+: payment method and subscription","for bring-your-own-API-key: API key for chosen LLM provider (OpenAI, Anthropic, Google, or custom)"],"input_types":["model selection (OpenAI, Anthropic, Google, or custom)","API key (for bring-your-own-key option)"],"output_types":["LLM responses (text, code, suggestions)","credit consumption tracking","usage analytics"],"categories":["tool-use-integration","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"warp__cap_7","uri":"capability://code.generation.editing.built.in.code.editor.with.lsp.support.and.git.worktree.integration","name":"built-in code editor with lsp support and git worktree integration","description":"Warp includes a native code editor (implementation language not documented) with Language Server Protocol (LSP) support for syntax highlighting, code completion, and diagnostics across 40+ languages. The editor integrates with git worktrees, allowing users to switch between branches without leaving the terminal. Code review panel enables side-by-side diff viewing and inline commenting. Editor operates within the Warp terminal context, providing seamless switching between command execution and code editing without external IDE.","intents":["I want to edit code without leaving the terminal or opening a separate IDE","I need to review code changes with diffs and comments before committing","I want to work on multiple git branches simultaneously using worktrees without context-switching"],"best_for":["developers who prefer terminal-centric workflows and want to avoid IDE overhead","teams doing code review directly in the terminal","developers working with git worktrees for parallel branch development"],"limitations":["editor capabilities are not fully documented; unclear if it supports advanced IDE features (refactoring, debugging, test running)","LSP support is mentioned but specific language coverage is unknown (40+ languages mentioned but list not provided)","code review panel is mentioned but collaboration features (real-time comments, threading, approval workflows) are unknown","git worktree integration details are unknown; unclear if it supports creating/deleting worktrees or only switching between existing ones","editor performance on very large files (> 10K lines) is not documented","no mention of debugging support (breakpoints, step execution, variable inspection)"],"requires":["Warp terminal application","code files on local filesystem or accessible via SSH","git repository with worktrees (for worktree integration)","language servers installed for LSP support (usually auto-installed by editor)"],"input_types":["code files (40+ languages)","git diffs","code review comments"],"output_types":["edited code files","code review feedback","git commits"],"categories":["code-generation-editing","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"warp__cap_8","uri":"capability://automation.workflow.ssh.based.remote.terminal.and.code.editing","name":"ssh-based remote terminal and code editing","description":"Warp supports SSH connections to remote machines, enabling users to run commands and edit code on remote servers directly from the Warp terminal. Remote execution maintains the same block-based output navigation and AI assistance features as local terminal. Specific SSH features (key-based auth, agent forwarding, tunneling) are mentioned as supported but details are not documented. Remote code editing integrates with the built-in editor, allowing LSP-based code completion on remote files.","intents":["I want to SSH into a remote server and use Warp's modern terminal features (block-based output, AI suggestions) instead of raw SSH","I need to edit code on a remote server with LSP support and syntax highlighting without downloading files locally","I want to run commands on multiple remote servers and compare outputs using Warp's block-based navigation"],"best_for":["developers managing remote servers or cloud instances","teams with centralized development servers","developers who want modern terminal UX over SSH without installing Warp on remote machine"],"limitations":["SSH feature support is mentioned but specific capabilities are not documented (key-based auth, agent forwarding, tunneling, port forwarding)","remote LSP support requires language servers to be installed on remote machine; unclear if Warp can auto-install or configure them","latency over SSH is not documented; block-based output navigation may have noticeable delays over high-latency connections","remote session sharing is not mentioned; unclear if shared sessions work with remote SSH connections","remote agent execution is not mentioned; unclear if cloud agents can operate on remote machines"],"requires":["Warp terminal application","SSH access to remote machine (key-based or password auth)","SSH server running on remote machine","for remote code editing: language servers installed on remote machine"],"input_types":["SSH connection string (user@host:port)","remote shell commands","remote code files"],"output_types":["remote command output (block-based)","remote file edits","remote execution results"],"categories":["automation-workflow","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"warp__cap_9","uri":"capability://safety.moderation.zero.data.retention.option.with.configurable.cloud.storage","name":"zero data retention option with configurable cloud storage","description":"Warp offers a Zero Data Retention option where conversation history, session data, and codebase indexes are not persisted to Warp's cloud infrastructure. On Free tier, Zero Data Retention is individually configured per user; on Business tier, it's automatically enforced across the entire team. This addresses privacy concerns for organizations handling proprietary code or sensitive data. Data is processed by LLM providers (OpenAI, Anthropic, Google) according to their own data retention policies, which are not controlled by Warp.","intents":["I need to use Warp's AI features without my code or conversations being stored on Warp's servers","My organization has data residency requirements and cannot store code in the cloud","I want to ensure my team's conversations and code are not used for LLM model training"],"best_for":["organizations with strict data privacy requirements (healthcare, finance, government)","teams handling proprietary code or trade secrets","companies with data residency regulations (GDPR, HIPAA, etc.)"],"limitations":["Zero Data Retention only applies to Warp's infrastructure; data is still sent to LLM providers (OpenAI, Anthropic, Google) and subject to their data retention policies","codebase indexing may not work with Zero Data Retention because indexing requires storing embeddings or AST representations; unclear if Warp disables indexing when Zero Data Retention is enabled","cloud conversation storage is disabled with Zero Data Retention, limiting collaboration features (shared sessions, notebooks) that rely on cloud storage","on Free tier, Zero Data Retention is opt-in and individually configured; users must remember to enable it for each account","on Business tier, Zero Data Retention is enforced but may reduce functionality (e.g., conversation history, session sharing) for the entire team"],"requires":["Warp terminal application","for Free tier: manual configuration of Zero Data Retention setting","for Business tier: no additional configuration (automatically enforced)"],"input_types":["configuration flag (Zero Data Retention enabled/disabled)"],"output_types":["confirmation that data is not persisted to Warp cloud"],"categories":["safety-moderation","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"warp__headline","uri":"capability://automation.workflow.ai.powered.terminal.for.developers","name":"ai-powered terminal for developers","description":"Warp is an AI-powered terminal designed for developers, offering intelligent command suggestions, natural language command translation, and collaborative features that enhance productivity in coding workflows.","intents":["best AI terminal for developers","AI terminal for coding","AI-powered CLI for productivity","intelligent command line tool","modern terminal with AI features"],"best_for":["developers looking for enhanced terminal capabilities"],"limitations":[],"requires":[],"input_types":[],"output_types":[],"categories":["automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":76,"verified":false,"data_access_risk":"high","permissions":["Warp terminal application installed (Mac support confirmed, Windows support unknown)","shell with standard output/error streams (bash, zsh, fish, etc.)","Warp terminal application","API key for LLM provider (OpenAI, Anthropic, or Google) OR free tier AI credits","internet connectivity for cloud-based LLM inference (local inference not mentioned)","Warp Business tier ($45/user/month)","SAML identity provider (Okta, Azure AD, etc.)","team members with accounts on identity provider","third-party agent CLI tool (Claude Code, Codex, OpenCode, etc.) installed and configured","API key for third-party agent provider"],"failure_modes":["block-based structure may not preserve exact formatting of legacy terminal output (ANSI escape sequences, raw text alignment)","searching within blocks requires indexing overhead that could impact real-time command execution latency","export/portability of block-structured history to standard terminal formats (e.g., plain text logs) may lose metadata","AI model accuracy depends on prompt clarity; ambiguous natural language may generate incorrect commands","command suggestions are not executed automatically — user must review and approve before running, adding latency to workflow","free tier includes limited AI credits (amount unspecified), requiring upgrade to Build tier ($18/month) for consistent usage","model selection and version are not user-configurable on Free/Build tiers; Enterprise tier allows bring-your-own-LLM","Business tier is $45/user/month, which is expensive for large teams (10-person team = $450/month)","seat limit is 50 users; teams larger than 50 require Enterprise tier with custom pricing","team management features are not documented; unclear if there are role-based access controls (admin, member, viewer)","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.7,"quality":0.9,"ecosystem":0.35,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.1,"match_graph":0.28,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:34.803Z","last_scraped_at":null,"last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=warp","compare_url":"https://unfragile.ai/compare?artifact=warp"}},"signature":"Eu/3voQdq72Pvifu08BUeOimBcSitPdeugyrccjLh4oNVaUoA7R8x3raT6tg2ZIthKhs7NKbpZWh7yKPDhUECQ==","signedAt":"2026-06-22T23:15:20.279Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/warp","artifact":"https://unfragile.ai/warp","verify":"https://unfragile.ai/api/v1/verify?slug=warp","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}