{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"aide","slug":"aide","name":"Aide","type":"agent","url":"https://aide.dev","page_url":"https://unfragile.ai/aide","categories":["code-editors"],"tags":[],"pricing":{"model":"free","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"aide__cap_0","uri":"capability://code.generation.editing.multi.file.codebase.aware.editing.with.autonomous.refactoring","name":"multi-file codebase-aware editing with autonomous refactoring","description":"Aide enables autonomous modification of multiple files across a project by maintaining full project context through VS Code's file system integration and language server protocol (LSP) bindings. The agent analyzes code structure, dependencies, and imports to perform coordinated edits across files while respecting language-specific syntax and semantics. Changes are applied directly to the workspace with full undo/redo support inherited from VS Code's editor model.","intents":["I need the agent to refactor a function across 5 files that import it and update all call sites automatically","I want to add a new feature that requires coordinated changes to multiple modules in my codebase","I need to fix a bug that spans multiple files and requires understanding the full dependency graph"],"best_for":["solo developers building features in medium-to-large codebases","teams automating refactoring tasks across monorepos","developers working on legacy code requiring coordinated multi-file updates"],"limitations":["No explicit documentation on maximum file count per edit operation — likely constrained by token window of underlying model (Claude 3.5 Sonnet ~200k tokens)","Refactoring accuracy depends on language server availability — unsupported languages fall back to regex-based matching","No built-in rollback mechanism if edits introduce syntax errors across multiple files simultaneously"],"requires":["VS Code 1.80+ (Aide is a VS Code fork)","Project must be open in Aide workspace","Language server for target language (e.g., Pylance for Python, TypeScript language server for JavaScript)"],"input_types":["source code files","project structure/file tree","natural language task description"],"output_types":["modified source code files","edit summary with file paths and line ranges"],"categories":["code-generation-editing","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"aide__cap_1","uri":"capability://tool.use.integration.terminal.command.execution.with.autonomous.shell.interaction","name":"terminal command execution with autonomous shell interaction","description":"Aide integrates with the VS Code integrated terminal to execute shell commands, capture output, and parse results for decision-making in the agentic loop. The agent can run build commands, tests, linters, package managers, and custom scripts, then analyze exit codes and stdout/stderr to determine success or failure. Terminal sessions persist across agent steps, allowing stateful interactions like navigating directories or maintaining environment variables.","intents":["I want the agent to run tests and fix failing test cases by modifying code based on error messages","I need the agent to execute a build pipeline and debug compilation errors automatically","I want the agent to install dependencies and configure the project environment without manual intervention"],"best_for":["developers automating CI/CD-like workflows locally","teams using Aide to fix failing tests in pull requests","solo developers debugging build failures with agent assistance"],"limitations":["No explicit sandboxing documented — terminal has full access to user's file system and environment, including ability to delete files or modify system configuration","Long-running commands may timeout if agent doesn't implement step limits — no documented timeout mechanism","Output parsing is model-dependent (Claude 3.5 Sonnet) — may misinterpret ambiguous error messages or non-standard output formats","No built-in support for interactive terminal prompts (e.g., password entry, confirmation dialogs)"],"requires":["VS Code 1.80+ with integrated terminal enabled","Shell environment (bash, zsh, PowerShell, cmd.exe depending on OS)","Relevant tools installed in PATH (git, npm, python, etc. as needed for project)"],"input_types":["shell command strings","environment variables","working directory path"],"output_types":["stdout/stderr text","exit code (integer)","execution duration"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"aide__cap_2","uri":"capability://planning.reasoning.autonomous.problem.solving.with.inference.time.reasoning.scaling","name":"autonomous problem-solving with inference-time reasoning scaling","description":"Aide implements agentic problem-solving by leveraging Claude 3.5 Sonnet's inference-time scaling capabilities (extended thinking/chain-of-thought) to decompose complex software engineering tasks into sub-steps without requiring explicit human guidance between steps. The agent reasons through problem structure, generates hypotheses about root causes, executes diagnostic commands, analyzes results, and iteratively refines solutions. This approach trades compute cost for improved accuracy on complex tasks like bug fixes and feature implementation.","intents":["I have a bug report with a stack trace and want the agent to diagnose and fix it without my intervention","I want the agent to implement a feature by understanding requirements, designing a solution, and writing code across multiple files","I need the agent to resolve a failing test by understanding the test intent and modifying implementation code accordingly"],"best_for":["solo developers working on complex bugs in unfamiliar codebases","teams using Aide to resolve SWE-bench-style tasks (real GitHub issues)","developers automating code review and bug-fix workflows"],"limitations":["62.2% resolution rate on SWE-bench-verified (as of Dec 2024) implies ~38% failure rate on real-world tasks — no documentation on which problem classes fail","Inference-time scaling increases token consumption significantly compared to single-pass generation — cost per task is unknown but likely 2-5x higher than standard API calls","No explicit error recovery mechanism documented — if agent reaches a dead-end (e.g., circular reasoning, unsolvable state), behavior is undefined","Reasoning process is opaque to user — no visibility into agent's internal chain-of-thought or decision rationale"],"requires":["Claude 3.5 Sonnet API access (model configurability unknown — may be hardcoded)","Sufficient API quota/credits for extended inference","Project context must fit within token window (~200k tokens for Claude 3.5)"],"input_types":["natural language task description","code files and project structure","error messages, stack traces, test output"],"output_types":["modified code files","terminal commands executed","summary of reasoning and changes made"],"categories":["planning-reasoning","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"aide__cap_3","uri":"capability://memory.knowledge.full.project.context.injection.with.semantic.code.understanding","name":"full-project context injection with semantic code understanding","description":"Aide maintains and injects full project context into the agent's reasoning by leveraging VS Code's file system APIs and language server protocol to build a semantic understanding of the codebase. The agent has access to file trees, import graphs, function definitions, type information, and documentation, enabling it to understand how changes in one file affect others. Context is selectively included in prompts based on relevance heuristics (e.g., files that import modified functions, files in the same directory) to stay within token limits.","intents":["I want the agent to understand the full architecture of my project before making changes","I need the agent to find all usages of a function and update them when the function signature changes","I want the agent to respect existing code patterns and conventions when generating new code"],"best_for":["developers working on large, interconnected codebases where changes have wide impact","teams maintaining monorepos with complex dependency graphs","solo developers working on unfamiliar projects and needing the agent to understand structure"],"limitations":["Context selection heuristics are model-dependent and undocumented — may include irrelevant files or exclude critical context","Token window limits (~200k for Claude 3.5) constrain maximum project size — very large projects may require truncation or summarization","Language server availability varies by language — unsupported languages fall back to AST parsing or regex, reducing semantic accuracy","No explicit caching of context across multiple agent steps — full project context may be re-injected for each step, increasing token usage"],"requires":["VS Code 1.80+ with project open in workspace","Language servers for target languages (optional but recommended for full semantic understanding)","Project must be indexable by VS Code's file system APIs"],"input_types":["project file tree","source code files","language server protocol responses (type definitions, references, symbols)"],"output_types":["contextual code snippets","dependency graphs","semantic understanding of code structure"],"categories":["memory-knowledge","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"aide__cap_4","uri":"capability://tool.use.integration.vs.code.editor.integration.with.native.workspace.state.synchronization","name":"vs code editor integration with native workspace state synchronization","description":"Aide is built as a VS Code fork, giving it direct access to VS Code's editor state, workspace configuration, and extension ecosystem. The agent can read and modify files through VS Code's file system abstraction, trigger editor commands (format, lint, refactor), and synchronize changes across open editors and the file system. This integration eliminates the latency and isolation overhead of extension-based agents and ensures changes are immediately visible to the user.","intents":["I want changes made by the agent to appear instantly in my editor without manual refresh","I need the agent to respect my VS Code settings (formatter, linter, language server configuration)","I want the agent to trigger code formatting and linting automatically after making changes"],"best_for":["developers who want a seamless, integrated agent experience within their existing VS Code workflow","teams standardizing on VS Code as the primary development environment","solo developers who want minimal context-switching between agent and editor"],"limitations":["Aide is a VS Code fork, not an extension — requires replacing the user's VS Code installation, which may conflict with existing extensions or custom configurations","No documentation on extension compatibility — unclear which VS Code extensions work with Aide or if there are breaking changes","Workspace state synchronization is real-time but may have race conditions if user edits files while agent is modifying them — conflict resolution strategy is undocumented","Tied to VS Code's release cycle — Aide must be updated when VS Code updates to maintain compatibility"],"requires":["Aide installation (replaces or runs alongside VS Code)","VS Code 1.80+ compatible codebase (Aide is a fork)","Project open in Aide workspace"],"input_types":["VS Code workspace configuration","open editor state","file system changes"],"output_types":["modified files in workspace","editor state updates","command execution results"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"aide__cap_5","uri":"capability://planning.reasoning.real.world.software.engineering.task.resolution.with.swe.bench.benchmarking","name":"real-world software engineering task resolution with swe-bench benchmarking","description":"Aide is evaluated and optimized for real-world software engineering tasks using the SWE-bench-verified benchmark, which consists of actual GitHub issues and pull requests. The agent achieves 62.2% resolution rate (as of Dec 2024) on this benchmark, demonstrating capability to handle bug fixes, feature implementation, and code maintenance tasks that require understanding issue descriptions, analyzing code, and generating correct solutions. This benchmark-driven approach ensures the agent is optimized for practical developer workflows rather than synthetic tasks.","intents":["I want to use an agent that's proven to work on real GitHub issues, not just synthetic benchmarks","I need the agent to resolve a bug that's described in a GitHub issue with context and reproduction steps","I want to automate feature implementation based on issue descriptions and requirements"],"best_for":["teams using Aide to automate issue resolution in GitHub workflows","developers evaluating agent quality based on real-world performance metrics","open-source maintainers automating bug fixes and feature implementation"],"limitations":["62.2% resolution rate means ~38% of real-world tasks fail — no documentation on which problem classes fail or why","SWE-bench-verified is a specific benchmark; performance on other task types (documentation, refactoring, optimization) is unknown","Benchmark results are from Dec 2024 — performance may degrade or improve with model updates, and no continuous benchmarking data is published","Resolution definition on SWE-bench is binary (pass/fail) — no metrics on partial success, code quality, or efficiency of solutions"],"requires":["GitHub issue or pull request with clear description and context","Project must be cloneable and runnable in Aide environment","Test suite or acceptance criteria to validate resolution"],"input_types":["GitHub issue description","code repository","test cases or reproduction steps"],"output_types":["modified code files","passing tests","pull request ready for review"],"categories":["planning-reasoning","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"aide__cap_6","uri":"capability://planning.reasoning.autonomous.error.diagnosis.and.iterative.fixing.with.feedback.loops","name":"autonomous error diagnosis and iterative fixing with feedback loops","description":"Aide implements a feedback loop where it executes commands (tests, builds, linters), captures error output, analyzes failures, and iteratively modifies code to fix issues. The agent can parse error messages, stack traces, and test output to understand what went wrong, generate hypotheses about root causes, and apply targeted fixes. This loop continues until tests pass or the agent determines the problem is unsolvable, enabling autonomous resolution of bugs without human intervention.","intents":["I want the agent to run tests, see failures, and automatically fix the code to make tests pass","I need the agent to debug a compilation error by reading the error message and modifying code accordingly","I want the agent to resolve a linting error by understanding the rule and refactoring code to comply"],"best_for":["developers automating test-driven development workflows","teams using Aide to fix failing tests in CI/CD pipelines","solo developers debugging code with agent assistance"],"limitations":["Error parsing is model-dependent — Claude 3.5 Sonnet may misinterpret ambiguous error messages or non-standard output formats","No explicit loop termination condition documented — agent may enter infinite loops if error messages are misleading or if fixes don't address root cause","Limited to errors that can be diagnosed from output text — runtime errors, memory leaks, or performance issues may not be detectable","No rollback mechanism if iterative fixes make the problem worse — agent may apply multiple incorrect changes before detecting failure"],"requires":["Executable test suite or build system","Clear error messages and output from tests/build tools","Ability to modify source code based on error analysis"],"input_types":["test output or build errors","error messages and stack traces","source code files"],"output_types":["modified source code","passing tests or successful builds","summary of fixes applied"],"categories":["planning-reasoning","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"aide__cap_7","uri":"capability://tool.use.integration.open.source.codebase.with.community.driven.development.and.transparency","name":"open-source codebase with community-driven development and transparency","description":"Aide is open-source, allowing developers to inspect the agent's implementation, contribute improvements, and fork the codebase for custom use cases. The open-source model provides transparency into how the agent works, enables community contributions to improve capabilities, and allows teams to self-host or customize Aide for their specific needs. This contrasts with closed-source agents where implementation details and decision-making logic are opaque.","intents":["I want to understand how the agent works internally and audit its behavior for safety","I need to customize Aide for my team's specific workflow or integrate it with internal tools","I want to contribute improvements to the agent and have them benefit the community"],"best_for":["developers and teams prioritizing transparency and auditability in AI tools","organizations with custom requirements that need to fork and modify Aide","open-source communities wanting to contribute to agent development"],"limitations":["Open-source status does not guarantee security — users must audit code and dependencies themselves","Community contributions may introduce bugs or regressions — no SLA on code review or release cycles","Self-hosting requires infrastructure and maintenance — no managed service option documented","Model (Claude 3.5 Sonnet) is not open-source — agent logic is transparent but inference is proprietary"],"requires":["GitHub account to access repository","Development environment to build and run Aide from source","Understanding of VS Code architecture and extension development (for customization)"],"input_types":["source code repository","GitHub issues and pull requests"],"output_types":["customized Aide builds","contributions to upstream project"],"categories":["tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"aide__cap_8","uri":"capability://tool.use.integration.free.no.cost.usage.model.with.no.documented.pricing.or.api.charges","name":"free, no-cost usage model with no documented pricing or api charges","description":"Aide is offered as free software with no documented pricing, subscription fees, or per-use charges. Users can download, install, and use Aide without paying for the agent itself. However, the agent uses Claude 3.5 Sonnet for inference, and API costs for Claude are not documented — users may incur Anthropic API charges depending on how Aide is configured (e.g., if using a personal API key vs. a managed service).","intents":["I want to use an AI coding agent without paying subscription fees","I need to evaluate Aide's capabilities before committing to a paid tool","I want to use Aide in my open-source project without incurring costs"],"best_for":["solo developers and small teams with limited budgets","open-source projects and non-commercial use cases","developers evaluating agent capabilities before adopting"],"limitations":["Free software status does not mean free inference — Claude 3.5 Sonnet API calls incur Anthropic charges (cost structure unknown)","No documentation on whether Aide provides a managed API or requires users to bring their own API key","No SLA, support, or uptime guarantees for free software","Inference costs may be substantial for heavy usage — no cost estimation or rate limiting documented"],"requires":["Anthropic API key (if using personal API) or access to managed Aide service (if available)","Sufficient API quota/credits for Claude 3.5 Sonnet inference"],"input_types":[],"output_types":[],"categories":["tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"aide__headline","uri":"capability://code.generation.editing.ai.coding.agent.for.vs.code","name":"ai coding agent for vs code","description":"Aide is an open-source AI coding agent designed as a fork of VS Code, enabling multi-file editing, terminal command execution, and autonomous problem-solving with comprehensive project context.","intents":["best AI coding agent","AI coding agent for VS Code","open-source coding assistant","AI-powered code editor","autonomous coding agent for developers"],"best_for":["developers seeking enhanced coding capabilities"],"limitations":[],"requires":["VS Code environment"],"input_types":[],"output_types":[],"categories":["code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":58,"verified":false,"data_access_risk":"high","permissions":["VS Code 1.80+ (Aide is a VS Code fork)","Project must be open in Aide workspace","Language server for target language (e.g., Pylance for Python, TypeScript language server for JavaScript)","VS Code 1.80+ with integrated terminal enabled","Shell environment (bash, zsh, PowerShell, cmd.exe depending on OS)","Relevant tools installed in PATH (git, npm, python, etc. as needed for project)","Claude 3.5 Sonnet API access (model configurability unknown — may be hardcoded)","Sufficient API quota/credits for extended inference","Project context must fit within token window (~200k tokens for Claude 3.5)","VS Code 1.80+ with project open in workspace"],"failure_modes":["No explicit documentation on maximum file count per edit operation — likely constrained by token window of underlying model (Claude 3.5 Sonnet ~200k tokens)","Refactoring accuracy depends on language server availability — unsupported languages fall back to regex-based matching","No built-in rollback mechanism if edits introduce syntax errors across multiple files simultaneously","No explicit sandboxing documented — terminal has full access to user's file system and environment, including ability to delete files or modify system configuration","Long-running commands may timeout if agent doesn't implement step limits — no documented timeout mechanism","Output parsing is model-dependent (Claude 3.5 Sonnet) — may misinterpret ambiguous error messages or non-standard output formats","No built-in support for interactive terminal prompts (e.g., password entry, confirmation dialogs)","62.2% resolution rate on SWE-bench-verified (as of Dec 2024) implies ~38% failure rate on real-world tasks — no documentation on which problem classes fail","Inference-time scaling increases token consumption significantly compared to single-pass generation — cost per task is unknown but likely 2-5x higher than standard API calls","No explicit error recovery mechanism documented — if agent reaches a dead-end (e.g., circular reasoning, unsolvable state), behavior is undefined","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.7,"quality":0.8500000000000001,"ecosystem":0.3,"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":"2026-05-24T12:16:19.836Z","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=aide","compare_url":"https://unfragile.ai/compare?artifact=aide"}},"signature":"pKaM+VVJ7d1xsAiW0Wfi6zbF2gaQEKgYntclUiD4J/7S9OhDk9W6GQR1BAGHEes+gWHPxA2rxszIF5toTtJfAQ==","signedAt":"2026-06-21T22:13:35.301Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/aide","artifact":"https://unfragile.ai/aide","verify":"https://unfragile.ai/api/v1/verify?slug=aide","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"}}