{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"awesome-gitingest","slug":"gitingest","name":"Gitingest","type":"webapp","url":"https://gitingest.com/","page_url":"https://unfragile.ai/gitingest","categories":["data-pipelines"],"tags":[],"pricing":{"model":"unknown","free":false,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"awesome-gitingest__cap_0","uri":"capability://data.processing.analysis.git.repository.tree.traversal.and.content.aggregation","name":"git repository tree traversal and content aggregation","description":"Walks the Git repository's file tree structure, respects .gitignore rules to filter out non-essential files, and aggregates source code and documentation into a single unified text document. Uses Git APIs or filesystem traversal to enumerate files while applying ignore patterns, then concatenates file contents with metadata markers (file paths, line counts) to preserve structure for LLM consumption.","intents":["I need to feed an entire codebase into Claude or GPT as context without hitting token limits","I want to create a searchable text index of my repository for documentation or analysis","I need to share a readable snapshot of my project structure with an LLM for code review or refactoring suggestions"],"best_for":["developers integrating repositories with LLM workflows","teams preparing codebases for AI-assisted analysis or generation","solo developers building LLM-powered code tools or agents"],"limitations":["Large repositories (>100MB) may produce digests exceeding typical LLM context windows (100k tokens)","Binary files are skipped entirely — no semantic extraction from compiled artifacts or media","Respects .gitignore but cannot apply custom filtering rules per use case","No deduplication of repeated code patterns across files — produces verbose output for monorepos with shared code"],"requires":["Git repository (local or remote URL)","Network access if ingesting from GitHub/GitLab URLs","Sufficient disk space to hold uncompressed digest in memory"],"input_types":["Git repository URL (GitHub, GitLab, Gitea, etc.)","Local file path to Git repository","Git commit hash or branch reference (optional)"],"output_types":["Plain text digest","Markdown-formatted document","Structured JSON with file metadata"],"categories":["data-processing-analysis","code-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-gitingest__cap_1","uri":"capability://automation.workflow.remote.git.repository.cloning.and.shallow.fetching","name":"remote git repository cloning and shallow fetching","description":"Clones or fetches Git repositories from remote sources (GitHub, GitLab, Gitea, Gitee, etc.) without requiring users to pre-clone locally. 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Applies filters in addition to or instead of .gitignore rules, enabling fine-grained control over digest content.","intents":["I want to include only source code files and exclude tests, docs, and build artifacts","I need to exclude very large files that would bloat the digest and exceed token limits","I want to focus the digest on a specific language or module within a monorepo"],"best_for":["developers working with large or complex repositories with mixed content","teams managing monorepos with multiple languages or modules","projects with strict token budgets requiring aggressive filtering"],"limitations":["Complex filter rules can be difficult to reason about — may accidentally exclude important files","No preview of filter impact before generation — requires trial and error","Filter syntax may vary across UI, API, and config file formats — inconsistent UX","Performance degrades with very complex filter rules (100+ conditions) due to matching overhead"],"requires":["Filter rule syntax (glob patterns, regex, or simple UI options)","Optional: Configuration file format (JSON, YAML) for complex rules"],"input_types":["File type filters (e.g., '*.py', '*.js')","Directory exclusion patterns (e.g., 'node_modules/', 'build/')","File size limits (e.g., 'exclude files > 1MB')","Regex patterns for advanced matching"],"output_types":["Filtered digest with only matching files","Report of excluded files and reasons"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-gitingest__cap_2","uri":"capability://data.processing.analysis.gitignore.pattern.matching.and.file.filtering","name":".gitignore pattern matching and file filtering","description":"Parses and applies .gitignore rules to exclude files from the digest, using pattern matching (wildcards, negations, directory-specific rules) consistent with Git's own ignore semantics. 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Preserves syntax structure and readability for LLMs by maintaining code formatting, adding file path headers, and optionally including line numbers. Does not perform parsing or AST analysis — purely structural formatting for readability.","intents":["I want the LLM to understand code structure by preserving indentation and formatting","I need to include file paths in the digest so the LLM knows which file each code snippet comes from","I want line numbers in the output so the LLM can reference specific lines when suggesting changes"],"best_for":["developers feeding formatted code to LLMs for analysis or refactoring","teams creating readable code documentation from repository snapshots","projects with mixed-language codebases (Python, JavaScript, Go, etc.)"],"limitations":["No syntax highlighting or color codes — output is plain text suitable for LLMs but not visually rich","Very large files (>10MB) may be truncated or summarized to avoid token bloat","Binary or minified code is included as-is without reformatting — may be unreadable","No language-specific semantic formatting (e.g., docstring extraction, import grouping) — purely structural"],"requires":["File extension detection (built-in mapping of extensions to languages)","Optional: Language-specific formatters (Prettier for JS, Black for Python, etc.) if deep formatting is desired"],"input_types":["Source code files (any text-based language)","File paths and extensions"],"output_types":["Formatted plain text with file headers and line numbers","Markdown code blocks with language tags"],"categories":["data-processing-analysis","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-gitingest__cap_4","uri":"capability://data.processing.analysis.token.count.estimation.and.digest.size.optimization","name":"token count estimation and digest size optimization","description":"Estimates the token count of the generated digest using language model-specific tokenizers (e.g., tiktoken for OpenAI models) and provides warnings or truncation suggestions when the digest exceeds typical LLM context windows (4k, 8k, 16k, 128k tokens). May offer compression strategies (file filtering, summarization hints) to fit within token budgets.","intents":["I want to know if my codebase digest will fit in my LLM's context window before sending it","I need to optimize the digest size to stay within token limits without losing important files","I want to understand which files are consuming the most tokens so I can exclude them"],"best_for":["developers working with context-limited LLM APIs (GPT-3.5, Claude 1.3)","teams managing costs by minimizing token usage","projects with large codebases that need selective inclusion"],"limitations":["Token count estimates vary by model and tokenizer — OpenAI's tiktoken may differ from Anthropic's tokenizer by 5-10%","Truncation strategies are heuristic-based (e.g., exclude largest files first) and may remove important context","No semantic understanding of code importance — cannot distinguish critical files from boilerplate","Requires knowledge of target LLM's context window size and tokenizer — not all models are supported"],"requires":["Tokenizer library (tiktoken for OpenAI, or custom tokenizer for other models)","Target LLM context window size (e.g., 4096, 8192, 128000 tokens)","Optional: File importance metadata or custom filtering rules"],"input_types":["Generated digest text","Target LLM model name or context window size"],"output_types":["Token count estimate (integer)","Warnings or suggestions for optimization","Truncated or filtered digest (if requested)"],"categories":["data-processing-analysis","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-gitingest__cap_5","uri":"capability://automation.workflow.batch.repository.processing.and.parallel.ingestion","name":"batch repository processing and parallel ingestion","description":"Processes multiple Git repositories in parallel or batch mode, generating digests for each and optionally combining them into a single multi-repository document. Uses concurrent fetching and processing to reduce total execution time compared to sequential ingestion. May support batch input formats (CSV, JSON) listing repository URLs.","intents":["I want to analyze multiple related repositories (e.g., microservices) as a single LLM context","I need to process 10+ repositories in a CI/CD pipeline without waiting for sequential execution","I want to compare codebases across multiple projects by feeding them all to an LLM at once"],"best_for":["teams managing monorepos or microservice architectures","CI/CD pipelines analyzing multiple repositories","researchers comparing code patterns across projects"],"limitations":["Parallel processing increases memory usage — may require tuning for resource-constrained environments","Combining multiple digests can exceed token limits even faster than single repositories","Error handling for partial failures (1 of 10 repos fails) requires careful orchestration","Rate limiting on Git hosts compounds with parallel requests — may require backoff strategies"],"requires":["Concurrent processing library (asyncio in Python, Promise/async-await in Node.js)","Batch input format (CSV, JSON, or newline-delimited URLs)","Optional: Rate limiting or backoff configuration for Git host APIs"],"input_types":["List of Git repository URLs","CSV or JSON file with repository metadata","Batch configuration (concurrency level, timeout per repo)"],"output_types":["Individual digests per repository","Combined multi-repository digest","Batch processing report (success/failure counts, timing)"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-gitingest__cap_6","uri":"capability://automation.workflow.web.ui.for.interactive.repository.ingestion.and.preview","name":"web ui for interactive repository ingestion and preview","description":"Provides a web interface where users can paste or search for Git repository URLs, configure filtering options (file types, size limits, .gitignore respect), preview the generated digest, and download or copy it for LLM use. Offers real-time feedback on digest size, token count, and file inclusion decisions.","intents":["I want to quickly ingest a GitHub repo without using CLI tools or writing code","I need to preview the digest and adjust filtering before sending it to an LLM","I want to copy the digest directly to my clipboard for pasting into ChatGPT or Claude"],"best_for":["non-technical users or those unfamiliar with CLI tools","quick one-off repository analysis without setup","teams prototyping LLM-based code analysis workflows"],"limitations":["Web UI may have rate limiting or timeout constraints for very large repositories","No persistent storage of digests — each session is ephemeral unless user downloads","Browser-based processing may be slower than local CLI for large repos","Limited customization compared to programmatic API — preset filtering options only"],"requires":["Web browser with JavaScript support","Network access to gitingest.com (or self-hosted instance)","Optional: GitHub API token for private repositories"],"input_types":["Git repository URL (pasted or searched)","Configuration options (file type filters, size limits, branch selection)"],"output_types":["Preview of digest in browser","Downloadable text file","Copy-to-clipboard functionality","Shareable link to digest"],"categories":["automation-workflow","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-gitingest__cap_7","uri":"capability://tool.use.integration.api.endpoint.for.programmatic.digest.generation","name":"api endpoint for programmatic digest generation","description":"Exposes a REST or GraphQL API that accepts repository URLs and configuration parameters, returns generated digests in JSON or plain text format, and supports webhooks or async processing for large repositories. Enables integration with external tools, CI/CD systems, and LLM workflows without requiring direct web UI interaction.","intents":["I want to integrate repository digestion into my CI/CD pipeline as an API call","I need to programmatically generate digests for multiple repos and feed them to my LLM agent","I want to build a custom tool that uses gitingest as a backend service"],"best_for":["developers building LLM-powered code analysis tools","CI/CD pipelines automating codebase analysis","teams integrating gitingest into larger workflows"],"limitations":["API rate limiting may restrict high-volume usage — requires authentication or paid tier","Async processing adds latency for large repositories — synchronous requests may timeout","API responses are limited to specific formats (JSON, plain text) — no custom output formats","Error handling and retry logic must be implemented by client — no built-in resilience"],"requires":["HTTP client library (curl, requests, axios, etc.)","API key or authentication token (if required)","Knowledge of API endpoint URL and request/response schema"],"input_types":["JSON request body with repository URL and options","Query parameters for configuration (branch, file filters, token limit)"],"output_types":["JSON response with digest and metadata","Plain text digest","Async job ID for polling or webhook callback"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-gitingest__cap_8","uri":"capability://data.processing.analysis.markdown.and.structured.output.formatting","name":"markdown and structured output formatting","description":"Generates digests in multiple output formats including plain text, Markdown with code blocks and headers, JSON with file metadata, and optionally YAML or CSV for structured analysis. Markdown output includes table of contents, file structure trees, and section headers for better organization and readability in documentation tools.","intents":["I want to create a Markdown document of my codebase for documentation or sharing","I need structured JSON output with file metadata for programmatic processing","I want a table of contents and file tree in the digest for easy navigation"],"best_for":["teams creating codebase documentation","developers building tools that parse digest metadata","projects sharing code snapshots in readable formats"],"limitations":["Markdown output may not render correctly in all LLM contexts — some models prefer plain text","JSON output adds overhead (metadata, nesting) compared to plain text — larger file size","Table of contents generation requires parsing the digest structure — adds processing time","Custom output formats are not supported — limited to predefined templates"],"requires":["Output format selection (plain text, Markdown, JSON, etc.)","Optional: Template customization for Markdown headers and structure"],"input_types":["Generated digest content","File metadata (paths, sizes, line counts)","Output format preference"],"output_types":["Plain text file","Markdown file with headers and code blocks","JSON with file metadata and content","YAML or CSV for structured data"],"categories":["data-processing-analysis","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-gitingest__cap_9","uri":"capability://data.processing.analysis.branch.and.commit.selection.for.historical.analysis","name":"branch and commit selection for historical analysis","description":"Allows users to specify a Git branch, tag, or commit hash to generate digests from specific points in repository history. Enables comparison of codebases across versions, analysis of historical code patterns, or ingestion of stable releases rather than development branches. Fetches the specified ref without requiring full history download.","intents":["I want to analyze the codebase as it was at a specific release tag, not the current main branch","I need to compare code structure between two commits to understand what changed","I want to ingest a stable version of a library for LLM analysis, not the bleeding-edge development version"],"best_for":["developers analyzing historical code patterns or regressions","teams comparing versions for migration or upgrade planning","researchers studying code evolution over time"],"limitations":["Requires knowledge of specific branch names, tags, or commit hashes — not discoverable from UI","Fetching arbitrary commits may require full repository history in some Git implementations","No diff generation between commits — only point-in-time snapshots","Very old commits may reference deleted files or broken dependencies — digest may be incomplete"],"requires":["Valid Git branch name, tag, or commit hash","Access to the specified ref in the remote repository"],"input_types":["Branch name (e.g., 'main', 'develop')","Tag name (e.g., 'v1.0.0')","Commit hash (full or abbreviated)"],"output_types":["Digest of codebase at specified ref","Metadata indicating branch/tag/commit used"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":28,"verified":false,"data_access_risk":"high","permissions":["Git repository (local or remote URL)","Network access if ingesting from GitHub/GitLab URLs","Sufficient disk space to hold uncompressed digest in memory","Network connectivity to Git hosting provider","Git CLI (v2.0+) or libgit2 library installed","Optional: GitHub/GitLab API token for private repos or higher rate limits","Filter rule syntax (glob patterns, regex, or simple UI options)","Optional: Configuration file format (JSON, YAML) for complex rules",".gitignore file present in repository root (or uses Git's default ignores if absent)","Pattern matching engine (regex or glob-based)"],"failure_modes":["Large repositories (>100MB) may produce digests exceeding typical LLM context windows (100k tokens)","Binary files are skipped entirely — no semantic extraction from compiled artifacts or media","Respects .gitignore but cannot apply custom filtering rules per use case","No deduplication of repeated code patterns across files — produces verbose output for monorepos with shared code","Requires network access to remote Git servers — cannot work offline","Shallow clones may miss historical context needed for certain analyses","Private repositories require authentication tokens, adding complexity","Rate limiting on public Git hosts (GitHub: 60 req/hour unauthenticated) can block bulk operations","Complex filter rules can be difficult to reason about — may accidentally exclude important files","No preview of filter impact before generation — requires trial and error","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.47,"ecosystem":0.25,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.1,"match_graph":0.35,"freshness":0.05}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-06-17T09:51:03.040Z","last_scraped_at":"2026-05-03T14:00:20.516Z","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=gitingest","compare_url":"https://unfragile.ai/compare?artifact=gitingest"}},"signature":"6NDZyVTuO5PlEF00C/LJl6ve4BNEIIsj94syyTtaNoVt3aNSZ9ju7FEerfgjlyPmLaQoxlqw7+ZIytxPrPSrAA==","signedAt":"2026-06-21T20:55:09.268Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/gitingest","artifact":"https://unfragile.ai/gitingest","verify":"https://unfragile.ai/api/v1/verify?slug=gitingest","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"}}