{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"awesome-sweep","slug":"sweep","name":"Sweep","type":"agent","url":"https://sweep.dev/","page_url":"https://unfragile.ai/sweep","categories":["app-builders"],"tags":[],"pricing":{"model":"unknown","free":false,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"awesome-sweep__cap_0","uri":"capability://code.generation.editing.context.aware.code.autocomplete.with.millisecond.latency","name":"context-aware code autocomplete with millisecond latency","description":"Provides single-keystroke code suggestions using a custom-trained Tab model that indexes the entire project codebase for structural awareness. The model generates precise code changes in milliseconds by leveraging local project context and semantic understanding of code patterns, eliminating the need to send full context to remote inference servers for every keystroke.","intents":["I want IDE autocomplete that understands my project structure and suggests the next edit without lag","I need code completion that works offline or with minimal network latency","I want suggestions that match my codebase's patterns and conventions, not generic templates"],"best_for":["solo developers and small teams using JetBrains IDEs who prioritize speed over feature richness","developers working in latency-sensitive environments or with unreliable internet","teams with proprietary code who want to minimize data sent to external inference servers"],"limitations":["Autocomplete quality depends on project indexing completeness — large monorepos may have stale or incomplete indices","Custom Tab model is proprietary and not customizable; no fine-tuning on domain-specific code patterns","Millisecond latency claims are not independently benchmarked; actual performance varies by project size and IDE resource availability","No support for non-JetBrains IDEs (VS Code, Vim, Emacs not supported)"],"requires":["JetBrains IDE (IntelliJ IDEA, PyCharm, WebStorm, PhpStorm, Rider, CLion, RubyMine, GoLand, or Android Studio)","Paid plan ($10/month Basic or higher) for unlimited autocomplete; free tier limited to 1,000 autocompletes","Active internet connection for initial project indexing and model updates","Project must be indexed by Sweep (automatic on first use, timing unknown)"],"input_types":["code context (current file, surrounding lines, project structure)","keystroke/cursor position","project metadata (language, framework, dependencies)"],"output_types":["code suggestion (single line to multi-line snippet)","confidence score (implicit in UI presentation)"],"categories":["code-generation-editing","ide-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-sweep__cap_1","uri":"capability://search.retrieval.semantic.codebase.search.with.definition.resolution","name":"semantic codebase search with definition resolution","description":"Indexes the entire project codebase and enables semantic search across files to retrieve relevant code context by meaning rather than keyword matching. Includes definition resolution that automatically traces code references to their source definitions, enabling the agent to understand code relationships and dependencies without explicit imports or type annotations.","intents":["I want to find all usages of a function or class across my codebase without manual grep","I need to understand how a code definition is used in context to write compatible changes","I want the agent to automatically fetch relevant code context when generating fixes or completions"],"best_for":["developers working in large codebases (10k+ lines) where manual context gathering is time-consuming","teams with complex dependency graphs or cross-module references","developers using dynamically-typed languages (Python, JavaScript) where static analysis is limited"],"limitations":["Semantic search quality depends on code documentation and naming clarity; poorly-named functions may not be found","Definition resolution may fail for dynamic code (eval, reflection, metaprogramming) or code generated at runtime","Indexing overhead and storage requirements not disclosed; large projects may experience slow initial indexing","No support for cross-repository or monorepo-wide search across multiple git repositories"],"requires":["JetBrains IDE with Sweep plugin installed","Project must be indexed by Sweep (automatic, timing unknown)","Supported programming languages (specific list not disclosed in documentation)"],"input_types":["search query (natural language or code snippet)","code context (current file, cursor position)","project structure (file tree, imports)"],"output_types":["ranked list of relevant code files or snippets","definition locations (file path, line number)","usage context (surrounding code, call sites)"],"categories":["search-retrieval","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-sweep__cap_10","uri":"capability://code.generation.editing.multi.language.support.with.language.specific.indexing","name":"multi-language support with language-specific indexing","description":"Supports code generation, autocomplete, and context retrieval across multiple programming languages through language-specific indexing and parsing. Each language has tailored analysis (AST parsing, semantic understanding, idiom recognition) to provide language-appropriate suggestions and context.","intents":["I want Sweep to work with my project's primary language (Python, JavaScript, Java, etc.)","I need context-aware suggestions that follow language-specific idioms and conventions","I want to use Sweep across polyglot projects with multiple languages"],"best_for":["developers working in popular languages (Python, JavaScript, Java, C++, Go, Rust, etc.)","teams with polyglot projects that use multiple languages","developers who want language-specific best practices and idioms"],"limitations":["Supported languages not explicitly listed in documentation; unclear which languages are fully supported","Quality varies by language; popular languages (Python, JavaScript) likely have better support than niche languages","No documentation on how language detection works; unclear if it's automatic or manual","Indexing quality depends on language-specific parser availability; some languages may have limited AST support","No support for domain-specific languages (DSLs) or custom languages"],"requires":["Project files in supported programming language","Language-specific parser available (automatic, but not all languages may be supported)","JetBrains IDE with Sweep plugin"],"input_types":["source code in supported language","language-specific syntax and semantics","language-specific project structure (package.json, requirements.txt, etc.)"],"output_types":["language-appropriate code suggestions","language-specific idioms and conventions","language-aware refactoring recommendations"],"categories":["code-generation-editing","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-sweep__cap_11","uri":"capability://tool.use.integration.jetbrains.ide.plugin.architecture.with.marketplace.distribution","name":"jetbrains ide plugin architecture with marketplace distribution","description":"Deploys as a plugin for JetBrains IDEs (IntelliJ IDEA, PyCharm, WebStorm, PhpStorm, Rider, CLion, RubyMine, GoLand, Android Studio) distributed through the JetBrains Marketplace. The plugin runs locally in the IDE and communicates with Sweep's cloud backend for inference, indexing, and tool execution. Supports IDE-native features like syntax highlighting, code folding, and inline suggestions.","intents":["I want AI code assistance integrated directly into my JetBrains IDE without context switching","I need the agent to understand IDE state (cursor position, selection, open files) for context-aware suggestions","I want to install and update Sweep through the JetBrains Marketplace like other plugins"],"best_for":["developers using JetBrains IDEs (IntelliJ, PyCharm, WebStorm, etc.) as their primary editor","teams with standardized JetBrains tooling who want integrated AI assistance","developers who prefer IDE-native plugins over external tools or web interfaces"],"limitations":["No support for non-JetBrains IDEs (VS Code, Vim, Emacs, Sublime); developers using other editors cannot use Sweep","Plugin performance depends on IDE resources; large projects may slow down IDE responsiveness","Plugin updates require IDE restart or reload; no hot-reload or seamless updates","IDE-specific limitations (e.g., PyCharm Community Edition may have limited plugin support)","No offline mode; all inference and indexing require cloud connectivity"],"requires":["JetBrains IDE (IntelliJ IDEA, PyCharm, Android Studio, WebStorm, PhpStorm, Rider, CLion, RubyMine, or GoLand)","IDE version compatibility (minimum version not specified)","JetBrains Marketplace account for installation","Active internet connection for plugin updates and cloud inference"],"input_types":["IDE state (cursor position, selection, open files)","keyboard shortcuts and IDE commands","IDE configuration (language settings, project structure)"],"output_types":["inline code suggestions (in editor)","code review comments (in diff view)","chat interface (in IDE panel or tool window)","syntax highlighting and code folding"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-sweep__cap_2","uri":"capability://tool.use.integration.web.search.and.content.fetching.from.within.code.generation","name":"web search and content fetching from within code generation","description":"Enables the agent to browse the web and fetch external content (documentation, API references, Stack Overflow answers) during code generation tasks. Integrated as a tool available during inference, allowing the model to retrieve real-time information about libraries, frameworks, or best practices without relying on training data cutoff dates.","intents":["I want the agent to look up current API documentation when generating code that uses external libraries","I need the agent to fetch Stack Overflow solutions or GitHub examples when solving unfamiliar problems","I want code generation to use up-to-date best practices, not outdated patterns from training data"],"best_for":["developers working with frequently-updated libraries or frameworks (React, Django, Kubernetes)","teams building integrations with third-party APIs that change frequently","developers solving novel problems where training data is insufficient or outdated"],"limitations":["Web search results are not guaranteed to be accurate or up-to-date; model may hallucinate or misinterpret fetched content","No control over search queries or result filtering; model decides what to search for based on context","Fetching external content adds latency to code generation (timing not disclosed)","Web search tool availability and rate limits not documented; unclear if there are quotas or throttling","Privacy implications: queries and fetched content may be logged or used for model improvement (despite privacy claims)"],"requires":["Active internet connection with unrestricted web access","API credits (web search consumes credits beyond autocomplete)","Sweep version 1.24 or later (feature released Oct 6, 2025)"],"input_types":["code generation context (current file, task description)","implicit search queries generated by the model based on context"],"output_types":["fetched web content (HTML, JSON, markdown)","code generation incorporating fetched information","citations or references to sources (if supported)"],"categories":["tool-use-integration","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-sweep__cap_3","uri":"capability://tool.use.integration.remote.mcp.server.integration.with.oauth.2.0.2.1.support","name":"remote mcp server integration with oauth 2.0/2.1 support","description":"Supports integration with Model Context Protocol (MCP) servers running on remote machines or cloud services, enabling Sweep to invoke custom tools and access external systems (databases, APIs, custom services) with OAuth 2.0/2.1 authentication. Allows developers to extend Sweep's capabilities by connecting to proprietary or specialized tools without modifying the core agent.","intents":["I want to connect Sweep to my company's internal API or database to fetch context during code generation","I need to use custom tools or services that aren't built into Sweep","I want to authenticate Sweep with OAuth so it can access protected resources on my behalf"],"best_for":["enterprise teams with custom internal tools or APIs that need to be accessible to the agent","developers building specialized code generation workflows that require domain-specific context","teams with security requirements that mandate OAuth authentication for tool access"],"limitations":["MCP server must be deployed and accessible over the network; no built-in hosting or deployment provided","OAuth 2.0/2.1 setup requires manual configuration of credentials and redirect URIs","No documentation on MCP server implementation details, schema validation, or error handling","Tool invocation latency depends on network conditions and MCP server performance; no SLA or guarantees","No built-in rate limiting or quota management for MCP tool calls"],"requires":["Sweep version 1.27 or later (feature released Dec 1, 2025)","MCP server implementation (custom development required)","OAuth 2.0/2.1 provider (e.g., GitHub, Google, custom identity provider)","Network connectivity between Sweep and MCP server","API credentials and OAuth client configuration"],"input_types":["MCP server endpoint URL","OAuth credentials (client ID, client secret, redirect URI)","tool schema definition (parameters, return types)","code generation context (when tool should be invoked)"],"output_types":["tool invocation results (JSON, structured data)","authentication tokens (OAuth bearer tokens)","error responses (if tool call fails)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-sweep__cap_4","uri":"capability://code.generation.editing.diff.based.code.review.and.change.analysis","name":"diff-based code review and change analysis","description":"Analyzes code changes between branches or commits by examining diffs and providing feedback on code quality, potential issues, or style violations. Integrates with git workflows to understand what changed and why, enabling the agent to review pull requests or suggest improvements to pending changes without requiring full file context.","intents":["I want Sweep to review my pull request and suggest improvements before I submit it","I need to understand what changed between two branches and identify potential issues","I want automated code review feedback that catches bugs or style violations early"],"best_for":["teams using git-based workflows (GitHub, GitLab, Bitbucket) who want automated code review","developers working on pull requests who want feedback before human review","teams with code style or quality standards that can be automated"],"limitations":["Code review quality depends on model's ability to understand context; large diffs may be truncated or summarized","No integration with GitHub/GitLab APIs documented; unclear if reviews are posted as comments or only shown in IDE","Review feedback is suggestions only; no enforcement or blocking of merges","No customization of review rules or style guides; uses model's built-in understanding of best practices","Performance on large diffs (1000+ lines) not documented; may timeout or provide incomplete analysis"],"requires":["Git repository with branch/commit history","JetBrains IDE with Sweep plugin","API credits (code review consumes credits beyond autocomplete)","Diff context available (current branch vs target branch)"],"input_types":["git diff (unified diff format)","file paths and line numbers","commit messages or PR description (optional context)"],"output_types":["code review comments (text feedback)","suggested changes (code snippets)","severity levels (error, warning, info)","line-specific annotations"],"categories":["code-generation-editing","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-sweep__cap_5","uri":"capability://memory.knowledge.project.wide.indexing.and.persistent.codebase.context","name":"project-wide indexing and persistent codebase context","description":"Automatically indexes the entire project codebase on first use and maintains a persistent index of code structure, definitions, and relationships. The index enables fast retrieval of relevant context for code generation tasks without re-parsing files on every request, and supports incremental updates as code changes.","intents":["I want the agent to understand my entire codebase without me manually providing context","I need fast context retrieval for code generation without waiting for file parsing","I want the agent to stay synchronized with my codebase as I make changes"],"best_for":["developers working in large codebases (10k+ lines) where full-file parsing would be slow","teams with complex project structures (monorepos, microservices) that benefit from persistent indexing","developers who want to avoid manually copying context into prompts"],"limitations":["Initial indexing time not disclosed; large projects may take minutes or hours to index","Index storage requirements not documented; unclear how much disk space is used","Incremental update strategy not documented; unclear if index is updated in real-time or on-demand","Index may become stale if files are modified outside the IDE (e.g., git pull, external editor)","No control over what gets indexed; all files in the project are indexed by default"],"requires":["JetBrains IDE with Sweep plugin","Project files accessible to the IDE (local or mounted filesystem)","Sufficient disk space for index storage (size unknown)","Initial indexing must complete before full context-aware features are available"],"input_types":["project directory structure","source code files (all supported languages)","configuration files (package.json, requirements.txt, etc.)"],"output_types":["indexed codebase representation (internal format)","fast context retrieval for code generation","definition locations and usage statistics"],"categories":["memory-knowledge","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-sweep__cap_6","uri":"capability://automation.workflow.api.credit.based.usage.metering.and.cost.control","name":"api credit-based usage metering and cost control","description":"Implements a usage-based pricing model where non-autocomplete features (chat, code generation, advanced completions, code review, web search) consume API credits. Developers can monitor credit consumption, set spending limits, and choose between monthly subscription tiers ($10, $20, $60) or pay-as-you-go with automatic top-ups. Autocomplete is unlimited on paid plans.","intents":["I want to control my spending on AI features and avoid surprise bills","I need to understand which features consume credits and optimize my usage","I want to choose between fixed monthly costs or variable pay-as-you-go pricing"],"best_for":["individual developers and small teams who want predictable costs","teams with variable usage patterns who prefer pay-as-you-go over fixed subscriptions","developers who want to optimize feature usage based on credit consumption"],"limitations":["Specific credit costs per operation not disclosed; developers cannot predict costs before using features","No usage analytics or breakdown by feature in documentation; unclear how to optimize spending","Automatic top-ups may result in unexpected charges if spending limits are not set","Free tier limited to 1,000 autocompletes + $5 credits; insufficient for serious development","No family or team discounts mentioned; pricing is per-user"],"requires":["Paid subscription ($10/month minimum) or free tier with limited credits","Payment method (credit card) for subscription or automatic top-ups","Account with Sweep to track credit usage and billing"],"input_types":["feature usage (chat, code generation, code review, web search)","subscription tier selection","spending limit configuration (optional)"],"output_types":["credit consumption per operation (implicit, not exposed in UI)","monthly billing statement","remaining credit balance","spending alerts (if limits exceeded)"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-sweep__cap_7","uri":"capability://safety.moderation.privacy.preserving.code.handling.with.optional.privacy.mode","name":"privacy-preserving code handling with optional privacy mode","description":"Provides a Privacy Mode setting that prevents code from being stored, logged, or used for model training. When enabled, code is only used to provide suggestions and is immediately discarded. Claims SOC 2 compliance and zero data retention by third parties, though verification mechanisms are not disclosed.","intents":["I want to use Sweep without my proprietary code being used to train models","I need to comply with data privacy regulations (GDPR, HIPAA) that restrict code sharing","I want assurance that my code is not stored or logged by Sweep or third parties"],"best_for":["enterprises with proprietary code or trade secrets that cannot be shared with external services","teams in regulated industries (healthcare, finance) with strict data privacy requirements","developers concerned about code being used for model training or competitive analysis"],"limitations":["Privacy Mode is optional; default behavior may log or store code (not explicitly stated)","SOC 2 compliance claimed but not independently verified; no audit reports or certifications provided","No technical details on how Privacy Mode is implemented; unclear if encryption, deletion, or other mechanisms are used","Privacy claims apply to Sweep only; code sent to MCP servers or web search tools may not be covered","No transparency on what 'zero data retention by third parties' means; unclear if third-party inference providers (OpenAI, Anthropic) retain data","Privacy Mode may impact feature availability or performance (not documented)"],"requires":["Sweep plugin with Privacy Mode setting (availability not specified)","Explicit opt-in to Privacy Mode (not default)","Trust in Sweep's privacy claims without independent verification"],"input_types":["source code (all files in project)","code context (current file, cursor position)","user interactions (autocomplete requests, chat messages)"],"output_types":["code suggestions (generated without storing input)","no logs or stored data (claimed)"],"categories":["safety-moderation","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-sweep__cap_8","uri":"capability://code.generation.editing.chat.based.code.generation.and.conversational.task.execution","name":"chat-based code generation and conversational task execution","description":"Enables developers to describe coding tasks in natural language through a chat interface, and the agent generates code or suggestions in response. Supports multi-turn conversations where developers can refine requests, ask follow-up questions, or request modifications to generated code. Chat interactions consume API credits.","intents":["I want to describe a coding task in English and have the agent generate code","I need to iterate on generated code through conversation (e.g., 'make it faster', 'add error handling')","I want to ask the agent questions about code or best practices without leaving the IDE"],"best_for":["developers who prefer conversational interaction over autocomplete","teams prototyping features quickly without writing boilerplate manually","developers learning new languages or frameworks who want explanations alongside code"],"limitations":["Chat quality depends on prompt clarity; vague requests may result in incorrect or irrelevant code","No conversation history persistence documented; unclear if multi-turn context is maintained across sessions","Each chat message consumes API credits; cost of iterative refinement not transparent","No code execution or testing; generated code is not validated before presentation","Chat interface not described in documentation; unclear if it's in-IDE, web-based, or separate tool"],"requires":["API credits (chat consumes credits beyond autocomplete)","JetBrains IDE with Sweep plugin","Sufficient credits for iterative conversation (cost per message unknown)"],"input_types":["natural language task description","code context (current file, selected code)","follow-up refinements or modifications"],"output_types":["generated code (single file or multi-file)","explanations or comments","alternative implementations (if requested)"],"categories":["code-generation-editing","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-sweep__cap_9","uri":"capability://code.generation.editing.advanced.completions.with.context.aware.suggestions","name":"advanced completions with context-aware suggestions","description":"Extends basic autocomplete with advanced suggestions that consider broader code context, project patterns, and developer intent. Advanced completions analyze multiple lines of context and suggest refactorings, API usage patterns, or architectural improvements beyond simple line-by-line code generation. These consume API credits.","intents":["I want suggestions that understand my code's architecture and suggest improvements","I need refactoring suggestions that span multiple lines or functions","I want the agent to suggest API usage patterns or design patterns based on my codebase"],"best_for":["developers working on complex codebases who want architectural-level suggestions","teams with established code patterns who want the agent to learn and replicate them","developers seeking refactoring suggestions beyond simple completions"],"limitations":["Advanced completions consume API credits; cost per suggestion not disclosed","Quality depends on model's ability to understand architectural intent; may suggest inappropriate changes","No control over suggestion scope (single line vs multi-line); unclear how scope is determined","No rollback or undo mechanism documented; developers must manually revert unwanted suggestions","Difference between 'advanced completions' and regular autocomplete not clearly defined"],"requires":["API credits (advanced completions consume credits)","Sufficient project context (indexing must be complete)","JetBrains IDE with Sweep plugin"],"input_types":["code context (multiple lines, surrounding functions)","project patterns (inferred from codebase)","developer intent (implicit from cursor position and recent edits)"],"output_types":["multi-line code suggestions","refactoring recommendations","architectural improvements","design pattern suggestions"],"categories":["code-generation-editing","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":28,"verified":false,"data_access_risk":"high","permissions":["JetBrains IDE (IntelliJ IDEA, PyCharm, WebStorm, PhpStorm, Rider, CLion, RubyMine, GoLand, or Android Studio)","Paid plan ($10/month Basic or higher) for unlimited autocomplete; free tier limited to 1,000 autocompletes","Active internet connection for initial project indexing and model updates","Project must be indexed by Sweep (automatic on first use, timing unknown)","JetBrains IDE with Sweep plugin installed","Project must be indexed by Sweep (automatic, timing unknown)","Supported programming languages (specific list not disclosed in documentation)","Project files in supported programming language","Language-specific parser available (automatic, but not all languages may be supported)","JetBrains IDE with Sweep plugin"],"failure_modes":["Autocomplete quality depends on project indexing completeness — large monorepos may have stale or incomplete indices","Custom Tab model is proprietary and not customizable; no fine-tuning on domain-specific code patterns","Millisecond latency claims are not independently benchmarked; actual performance varies by project size and IDE resource availability","No support for non-JetBrains IDEs (VS Code, Vim, Emacs not supported)","Semantic search quality depends on code documentation and naming clarity; poorly-named functions may not be found","Definition resolution may fail for dynamic code (eval, reflection, metaprogramming) or code generated at runtime","Indexing overhead and storage requirements not disclosed; large projects may experience slow initial indexing","No support for cross-repository or monorepo-wide search across multiple git repositories","Supported languages not explicitly listed in documentation; unclear which languages are fully supported","Quality varies by language; popular languages (Python, JavaScript) likely have better support than niche languages","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.34,"ecosystem":0.25,"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":"2026-06-17T09:51:04.049Z","last_scraped_at":"2026-05-03T14:00:10.321Z","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=sweep","compare_url":"https://unfragile.ai/compare?artifact=sweep"}},"signature":"CeXL6QNqDQNqGt9xLRNRovQTQHvh8qsG5S+vOT60P19vir3OI8pLQ4iVJgfNpK9RXqxbTgjhgc4bOKBT5w5DCQ==","signedAt":"2026-06-23T13:51:16.145Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/sweep","artifact":"https://unfragile.ai/sweep","verify":"https://unfragile.ai/api/v1/verify?slug=sweep","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"}}