{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"hn-46941990","slug":"agentseed-generate-agents-md-from-a-codebase","name":"Agentseed – Generate Agents.md from a Codebase","type":"repo","url":"https://github.com/avinshe/agentseed","page_url":"https://unfragile.ai/agentseed-generate-agents-md-from-a-codebase","categories":["automation"],"tags":["hackernews","show-hn"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"hn-46941990__cap_0","uri":"capability://code.generation.editing.ast.based.codebase.structure.extraction.and.analysis","name":"ast-based codebase structure extraction and analysis","description":"Parses source code files using Abstract Syntax Tree (AST) analysis to extract structural information including function signatures, class definitions, module exports, and dependency relationships. The tool traverses the AST to build a semantic map of the codebase architecture rather than relying on regex or simple text parsing, enabling accurate identification of public APIs and internal structure.","intents":["I need to understand the public API surface of my codebase without manually reading every file","I want to generate documentation that reflects the actual code structure, not outdated manual docs","I need to identify which functions and classes are entry points for an AI agent to interact with"],"best_for":["developers building AI agents that need to understand existing codebases","teams documenting complex projects with many interdependent modules","developers preparing codebases for LLM-based code analysis tools"],"limitations":["AST parsing accuracy depends on language support — may struggle with dynamic code patterns or metaprogramming","Requires syntactically valid code — will fail on incomplete or malformed files","Does not capture runtime behavior or side effects that aren't visible in static structure"],"requires":["Source code in a supported language (JavaScript/TypeScript, Python, or other language with available AST parser)","Valid, parseable code files with correct syntax"],"input_types":["source code files","directory paths","code repositories"],"output_types":["structured metadata (functions, classes, exports)","dependency graph","API surface documentation"],"categories":["code-generation-editing","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"hn-46941990__cap_1","uri":"capability://text.generation.language.agents.md.generation.from.codebase.metadata","name":"agents.md generation from codebase metadata","description":"Transforms extracted codebase structure (functions, classes, exports, signatures) into a machine-readable Markdown document formatted specifically for AI agent consumption. The generator creates a structured Agents.md file that lists available functions, their parameters, return types, and usage context in a format optimized for LLM context windows and function-calling patterns.","intents":["I want to generate a single reference document that an AI agent can use to understand what functions it can call","I need to keep Agents.md in sync with my codebase without manual updates","I want to provide context to Claude or GPT about my codebase in a standardized format"],"best_for":["developers integrating AI agents with existing codebases","teams using LLMs for code generation or analysis who need structured API documentation","projects where codebase changes frequently and documentation must auto-update"],"limitations":["Agents.md format may not capture complex type hierarchies or generic constraints","Does not include docstring content unless explicitly extracted — relies on code structure alone","Generated documentation is only as good as the code's naming and organization"],"requires":["Completed codebase structure extraction (AST analysis)","Target output directory with write permissions"],"input_types":["extracted codebase metadata","function/class definitions with signatures"],"output_types":["Markdown file (Agents.md)","structured text with function listings"],"categories":["text-generation-language","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"hn-46941990__cap_2","uri":"capability://code.generation.editing.multi.language.codebase.support.with.language.specific.parsers","name":"multi-language codebase support with language-specific parsers","description":"Provides pluggable AST parser support for multiple programming languages, allowing the tool to analyze codebases written in JavaScript, TypeScript, Python, and potentially other languages. Each language uses its native or optimized parser (e.g., tree-sitter, Babel for JS/TS; ast module for Python) to ensure accurate structural extraction across heterogeneous codebases.","intents":["I have a polyglot codebase with both Python and TypeScript — I need one tool to document all of it","I want to analyze a Node.js backend and Python data pipeline together for an AI agent","I need to support multiple languages without maintaining separate documentation tools"],"best_for":["teams with polyglot architectures (e.g., Node.js + Python + Go)","organizations migrating between languages who need unified documentation","projects integrating multiple language ecosystems for AI agent access"],"limitations":["Parser quality and feature coverage varies by language — some languages may have incomplete AST extraction","Adding new language support requires implementing or integrating a language-specific parser","Performance scales with codebase size; large polyglot repos may require optimization"],"requires":["Language-specific parser installed (tree-sitter, Babel, Python ast, etc.)","Source files in supported languages"],"input_types":["source code files in multiple languages","mixed-language repositories"],"output_types":["unified Agents.md covering all languages","language-tagged function listings"],"categories":["code-generation-editing","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"hn-46941990__cap_3","uri":"capability://automation.workflow.incremental.codebase.change.detection.and.agents.md.updates","name":"incremental codebase change detection and agents.md updates","description":"Monitors codebase changes (file additions, deletions, modifications) and regenerates only affected sections of Agents.md rather than re-parsing the entire codebase. Uses file hashing or modification timestamps to detect changes, then re-parses only modified files and updates the corresponding entries in the generated documentation.","intents":["I want Agents.md to stay in sync with my codebase during active development without manual regeneration","I need to run this in CI/CD to auto-update documentation on every commit","I want fast regeneration for large codebases — full re-parse is too slow"],"best_for":["teams with continuous integration pipelines that need auto-updating documentation","large codebases where full re-parse is prohibitively slow","projects where Agents.md is version-controlled and must stay in sync with source"],"limitations":["Change detection relies on file timestamps or hashing — may miss semantic changes in dependencies","Incremental updates may not catch transitive changes (e.g., if function A calls function B and B's signature changes)","Requires maintaining state about previous parse results for comparison"],"requires":["File system access to detect changes","Previous Agents.md or parse state for comparison","Git or file modification tracking"],"input_types":["modified source files","file change metadata"],"output_types":["updated Agents.md with only changed sections","change log or diff"],"categories":["automation-workflow","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"hn-46941990__cap_4","uri":"capability://code.generation.editing.function.signature.and.parameter.extraction.with.type.information","name":"function signature and parameter extraction with type information","description":"Extracts detailed function signatures including parameter names, types, default values, and return types from parsed code. For typed languages (TypeScript, Python with type hints), captures full type information; for untyped languages, infers or documents parameter positions. Generates structured metadata that includes arity, parameter order, and type constraints.","intents":["I need to provide an AI agent with exact function signatures so it knows what parameters to pass","I want to document parameter types and constraints for LLM function-calling","I need to extract return types so agents know what to expect from function calls"],"best_for":["developers building AI agents that use function calling (OpenAI, Anthropic, etc.)","teams documenting APIs for LLM consumption","projects where type information is critical for agent decision-making"],"limitations":["Type extraction is only as complete as the source code's type annotations — untyped code yields incomplete metadata","Complex types (generics, unions, intersections) may not be fully captured in simplified Agents.md format","Default parameter values and optional parameters require careful parsing to represent accurately"],"requires":["Parsed AST with function/method definitions","Type information in source code (TypeScript, Python type hints, etc.)"],"input_types":["function definitions","method signatures","class constructors"],"output_types":["structured function metadata (name, params, types, return type)","parameter lists with type annotations"],"categories":["code-generation-editing","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"hn-46941990__cap_5","uri":"capability://data.processing.analysis.dependency.graph.and.import.relationship.mapping","name":"dependency graph and import relationship mapping","description":"Analyzes import statements and require() calls to build a dependency graph showing which modules depend on which others. Tracks both internal dependencies (within the codebase) and external dependencies (third-party libraries). Generates metadata about module relationships that helps agents understand code organization and potential side effects.","intents":["I want an AI agent to understand which functions are in which modules and how they relate","I need to identify which parts of my codebase are independent vs tightly coupled","I want to document module boundaries so agents know what functions belong together"],"best_for":["teams with modular architectures who want agents to understand code organization","projects where module structure is important for agent decision-making","developers analyzing codebase dependencies for refactoring or optimization"],"limitations":["Dynamic imports (require() with variables, dynamic paths) cannot be statically resolved","Circular dependencies are detected but may complicate agent reasoning","External dependency versions are not tracked — only that they're imported"],"requires":["Parsed AST with import/require statements","Module resolution configuration (package.json, tsconfig.json, etc.)"],"input_types":["import/require statements","module definitions"],"output_types":["dependency graph (adjacency list or matrix)","module relationship metadata"],"categories":["data-processing-analysis","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"hn-46941990__cap_6","uri":"capability://text.generation.language.docstring.and.comment.extraction.and.inclusion.in.documentation","name":"docstring and comment extraction and inclusion in documentation","description":"Parses docstrings, JSDoc comments, and inline comments from source code and includes them in the generated Agents.md. Extracts structured documentation (parameter descriptions, return value docs, examples) from comment blocks and associates them with the corresponding functions. Handles multiple comment formats (JSDoc, Python docstrings, Markdown comments).","intents":["I want my existing docstrings to appear in Agents.md automatically","I need to provide usage examples and parameter descriptions to AI agents","I want to document edge cases and constraints that agents should know about"],"best_for":["teams with well-documented codebases who want documentation to auto-sync","projects where docstrings contain critical information for agent decision-making","developers providing context to LLMs about function behavior and constraints"],"limitations":["Comment extraction depends on consistent formatting — poorly formatted comments may be missed","Docstring quality varies; agents are only as informed as the documentation quality","Markdown rendering in comments may not translate perfectly to Agents.md format"],"requires":["Source code with docstrings or comments","Comment parser for the target language"],"input_types":["docstrings","JSDoc comments","inline comments"],"output_types":["extracted documentation text","parameter descriptions","usage examples"],"categories":["text-generation-language","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"hn-46941990__cap_7","uri":"capability://code.generation.editing.export.and.public.api.surface.identification","name":"export and public api surface identification","description":"Identifies which functions, classes, and variables are exported from modules (public API) versus internal/private. Analyzes export statements, visibility modifiers (private, protected, public), and naming conventions to determine what should be exposed to agents. Filters out internal implementation details and focuses on the public contract.","intents":["I want agents to only see the public API, not internal helper functions","I need to distinguish between stable APIs and internal implementation","I want to control what functions are available for agents to call"],"best_for":["teams with large codebases who want to expose only stable APIs to agents","projects with clear public/private boundaries","developers building agent-accessible libraries"],"limitations":["Relies on explicit export statements or visibility modifiers — implicit exports may be missed","Naming conventions (e.g., underscore prefix for private) are language-specific and may not be consistent","Does not capture semantic stability — a public function may be deprecated but still exported"],"requires":["Parsed AST with export statements and visibility information","Language-specific rules for identifying public vs private"],"input_types":["export statements","visibility modifiers","module definitions"],"output_types":["filtered function list (public only)","public API surface documentation"],"categories":["code-generation-editing","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"hn-46941990__cap_8","uri":"capability://text.generation.language.agents.md.format.standardization.and.schema.validation","name":"agents.md format standardization and schema validation","description":"Generates Agents.md in a standardized, machine-readable format with consistent structure for function listings, parameter documentation, and type information. Validates the generated Agents.md against a schema to ensure it's properly formatted and can be reliably parsed by AI agents. Supports multiple output formats (Markdown, JSON, YAML) for different agent consumption patterns.","intents":["I want a standardized format that any AI agent can reliably parse","I need to validate that my Agents.md is correctly formatted before using it with agents","I want to export Agents.md in multiple formats (Markdown, JSON) for different tools"],"best_for":["teams building multiple agents that consume Agents.md","projects where Agents.md is a critical integration point","developers who want to ensure documentation quality and consistency"],"limitations":["Standardized format may not capture all nuances of complex APIs","Schema validation adds overhead but catches formatting errors early","Multiple output formats require maintaining format-specific generators"],"requires":["Schema definition for Agents.md format","Format validators and generators"],"input_types":["extracted codebase metadata","function signatures and documentation"],"output_types":["Markdown file (Agents.md)","JSON representation","YAML representation"],"categories":["text-generation-language","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"hn-46941990__cap_9","uri":"capability://automation.workflow.cli.tool.with.configuration.file.support","name":"cli tool with configuration file support","description":"Provides a command-line interface for running codebase analysis and Agents.md generation with support for configuration files (.agentseedrc, agentseed.config.js, etc.). Allows users to specify source directories, output paths, language support, filtering rules, and documentation options via CLI flags or config files. Integrates with standard development workflows and CI/CD pipelines.","intents":["I want to run agentseed from the command line in my CI/CD pipeline","I need to configure which directories to analyze and where to output Agents.md","I want to version control my agentseed configuration alongside my code"],"best_for":["developers integrating agentseed into CI/CD workflows","teams with complex configuration needs (multiple source dirs, custom filters)","projects where Agents.md generation is part of the build process"],"limitations":["CLI interface is only as discoverable as the help documentation","Configuration file formats must be parsed and validated","Complex configurations may be difficult to debug"],"requires":["Node.js or Python runtime (depending on implementation)","CLI tool installed globally or via npm/pip"],"input_types":["CLI arguments","configuration files (.agentseedrc, agentseed.config.js)"],"output_types":["Agents.md file","exit codes and status messages"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":34,"verified":false,"data_access_risk":"high","permissions":["Source code in a supported language (JavaScript/TypeScript, Python, or other language with available AST parser)","Valid, parseable code files with correct syntax","Completed codebase structure extraction (AST analysis)","Target output directory with write permissions","Language-specific parser installed (tree-sitter, Babel, Python ast, etc.)","Source files in supported languages","File system access to detect changes","Previous Agents.md or parse state for comparison","Git or file modification tracking","Parsed AST with function/method definitions"],"failure_modes":["AST parsing accuracy depends on language support — may struggle with dynamic code patterns or metaprogramming","Requires syntactically valid code — will fail on incomplete or malformed files","Does not capture runtime behavior or side effects that aren't visible in static structure","Agents.md format may not capture complex type hierarchies or generic constraints","Does not include docstring content unless explicitly extracted — relies on code structure alone","Generated documentation is only as good as the code's naming and organization","Parser quality and feature coverage varies by language — some languages may have incomplete AST extraction","Adding new language support requires implementing or integrating a language-specific parser","Performance scales with codebase size; large polyglot repos may require optimization","Change detection relies on file timestamps or hashing — may miss semantic changes in dependencies","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.36,"quality":0.3,"ecosystem":0.46,"match_graph":0.25,"freshness":0.6,"weights":{"adoption":0.3,"quality":0.2,"ecosystem":0.15,"match_graph":0.3,"freshness":0.05}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-06-17T09:51:04.692Z","last_scraped_at":"2026-05-04T08:09:59.925Z","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=agentseed-generate-agents-md-from-a-codebase","compare_url":"https://unfragile.ai/compare?artifact=agentseed-generate-agents-md-from-a-codebase"}},"signature":"cHKuZJQA4BZXKGdGg8S5SWJ0OmA3CGl/5QJ+uRrpxrJM9Q32wO04kD7W+3x9hVetXemmPGDI7C8sbo/DqbMyCg==","signedAt":"2026-06-20T19:49:36.534Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/agentseed-generate-agents-md-from-a-codebase","artifact":"https://unfragile.ai/agentseed-generate-agents-md-from-a-codebase","verify":"https://unfragile.ai/api/v1/verify?slug=agentseed-generate-agents-md-from-a-codebase","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"}}