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The system uses embedding-based semantic search rather than keyword matching, allowing agents to find packages even when exact names or keywords aren't known. 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The system formats package metadata in a way optimized for LLM consumption (concise descriptions, key attributes, usage patterns) and can be injected as system context, tool definitions, or retrieved on-demand via function calls. This allows agents to reference package capabilities inline during code generation without requiring separate research steps.","intents":["I want my agent to know about package APIs and capabilities without me manually documenting them","Enable agents to make informed package selection decisions during code generation","Reduce context window waste by providing only relevant package info when needed"],"best_for":["Developers building custom LLM-based coding assistants","Teams integrating package search into agent tool registries","Autonomous code generation systems that need real-time dependency awareness"],"limitations":["Context injection adds latency to agent initialization — not suitable for sub-100ms response requirements","Package information freshness depends on Chroma's index update frequency","Agents may still hallucinate package APIs or capabilities not in the indexed metadata","No built-in version compatibility checking — agents must infer compatibility from descriptions"],"requires":["Support for function calling or tool use in the underlying LLM","API integration layer in the agent framework","Ability to format and inject structured data into agent prompts or tool definitions"],"input_types":["agent context requirements","tool registry definitions","package ecosystem identifiers"],"output_types":["formatted package metadata for agent consumption","tool definitions with package API signatures","context-optimized package descriptions"],"categories":["tool-use-integration","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-chroma-package-search__cap_2","uri":"capability://data.processing.analysis.multi.ecosystem.package.indexing.and.normalization","name":"multi-ecosystem package indexing and normalization","description":"Maintains a unified, searchable index across multiple package ecosystems (npm, PyPI, Maven, Cargo, etc.) with normalized metadata schemas that allow cross-ecosystem queries and comparisons. The system extracts and standardizes package information from diverse sources (registry APIs, GitHub, documentation sites) into a common format, enabling agents to discover equivalent packages across languages and ecosystems. Normalization handles version schemes, license formats, dependency specifications, and repository metadata variations across ecosystems.","intents":["Find equivalent packages across different programming languages and ecosystems","Help agents understand which ecosystem has the best solution for a problem","Enable polyglot agents to recommend packages regardless of project language"],"best_for":["Polyglot development teams and agents","Organizations migrating between tech stacks","Agents that generate code across multiple languages"],"limitations":["Normalization quality varies by ecosystem — some ecosystems have richer metadata than others","Cross-ecosystem equivalence is heuristic-based and may miss subtle differences in functionality","Index size and query latency increase with ecosystem coverage","Some ecosystems (private registries, niche package managers) may not be covered"],"requires":["Connectors to multiple package registry APIs","ETL pipeline for metadata extraction and normalization","Schema versioning system to handle ecosystem-specific metadata"],"input_types":["package names or descriptions in any supported ecosystem","cross-ecosystem comparison queries","language or ecosystem context"],"output_types":["normalized package metadata","cross-ecosystem equivalence mappings","ecosystem-specific details alongside normalized data"],"categories":["data-processing-analysis","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-chroma-package-search__cap_3","uri":"capability://data.processing.analysis.package.usage.pattern.and.example.extraction","name":"package usage pattern and example extraction","description":"Automatically extracts and indexes real-world usage patterns, code examples, and best practices from package documentation, GitHub repositories, and community sources. The system identifies common usage patterns (initialization, configuration, typical API calls) and makes them available to agents as reference implementations. This enables agents to not just find packages but understand how to use them correctly by learning from existing code patterns rather than relying solely on documentation.","intents":["Show agents how to actually use a package with real code examples","Help agents avoid common mistakes by learning from community usage patterns","Enable agents to generate more idiomatic code by understanding package conventions"],"best_for":["Agents generating production-ready code","Teams wanting agents to follow ecosystem conventions","Developers building agents that need to understand package idioms"],"limitations":["Example extraction quality depends on documentation quality — poorly documented packages may have few examples","Patterns extracted from GitHub may reflect outdated or anti-patterns if not filtered","Examples may be language/version-specific and not applicable to all use cases","No built-in validation that extracted patterns are actually correct or recommended"],"requires":["Web scraping or API access to documentation sites and GitHub","Code parsing and pattern recognition pipeline","Quality filtering to distinguish best practices from anti-patterns"],"input_types":["package names","usage context or problem description","language or version constraints"],"output_types":["code examples and snippets","usage patterns with explanations","common configuration patterns","best practice recommendations"],"categories":["data-processing-analysis","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-chroma-package-search__cap_4","uri":"capability://data.processing.analysis.dependency.compatibility.and.version.resolution.guidance","name":"dependency compatibility and version resolution guidance","description":"Analyzes package dependency graphs and version constraints to provide agents with compatibility information and resolution guidance. The system understands semantic versioning, version ranges, and peer dependencies across ecosystems, and can advise agents on compatible package combinations. When agents need to select packages, the system can indicate whether versions are compatible, flag breaking changes, and suggest compatible alternatives if conflicts arise.","intents":["Help agents avoid selecting incompatible package versions","Warn agents about breaking changes between package versions","Suggest compatible alternatives when package versions conflict"],"best_for":["Agents generating dependency specifications","Teams building multi-package projects with complex dependency trees","Autonomous systems that need to validate package selections"],"limitations":["Compatibility analysis is based on declared dependencies — doesn't catch undeclared or transitive incompatibilities","Breaking changes detection relies on changelog parsing and version metadata — may miss subtle incompatibilities","Real-time dependency resolution requires access to full dependency trees which may be expensive to compute","Ecosystem-specific version schemes (npm ranges, Python pins) require ecosystem-aware parsing"],"requires":["Access to package dependency metadata from registries","Semantic version parsing and range matching logic","Changelog or release notes parsing for breaking change detection","Dependency graph traversal algorithms"],"input_types":["package names and versions","dependency specifications","ecosystem context"],"output_types":["compatibility status (compatible/incompatible/warning)","breaking change warnings","compatible version ranges","alternative package suggestions"],"categories":["data-processing-analysis","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-chroma-package-search__cap_5","uri":"capability://safety.moderation.package.security.and.maintenance.status.assessment","name":"package security and maintenance status assessment","description":"Evaluates packages for security vulnerabilities, maintenance status, and community health by analyzing vulnerability databases, commit history, issue resolution rates, and dependency freshness. The system provides agents with risk assessments that include known CVEs, outdated dependencies within packages, maintainer activity levels, and community adoption metrics. This enables agents to make informed decisions about package selection based on non-functional requirements like security and long-term maintainability.","intents":["Help agents avoid selecting packages with known security vulnerabilities","Warn agents about unmaintained or abandoned packages","Enable agents to evaluate package quality and community health before selection"],"best_for":["Teams building production systems with security requirements","Agents generating code for regulated industries","Organizations with strict dependency governance policies"],"limitations":["Vulnerability data is only as current as the underlying vulnerability databases (CVE, npm audit, etc.)","Maintenance status assessment is heuristic-based (commit frequency, issue response time) and may not reflect actual support","Community health metrics (stars, downloads) don't always correlate with code quality or security","Zero-day vulnerabilities won't be detected until they're published in vulnerability databases"],"requires":["Integration with vulnerability databases (NVD, npm audit, Snyk, etc.)","GitHub API access for commit history and issue tracking","Package registry APIs for download and adoption metrics","Risk scoring algorithms to synthesize multiple signals"],"input_types":["package names and versions","ecosystem context"],"output_types":["vulnerability list with severity and CVE IDs","maintenance status assessment","community health metrics","risk scores and recommendations"],"categories":["safety-moderation","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":29,"verified":false,"data_access_risk":"high","permissions":["Integration with Claude API, Cursor, or custom LLM agent framework","Network access to Chroma Package Search API endpoints","Ability to parse and handle structured JSON responses from search results","Support for function calling or tool use in the underlying LLM","API integration layer in the agent framework","Ability to format and inject structured data into agent prompts or tool definitions","Connectors to multiple package registry APIs","ETL pipeline for metadata extraction and normalization","Schema versioning system to handle ecosystem-specific metadata","Web scraping or API access to documentation sites and GitHub"],"failure_modes":["Search quality depends on quality of package metadata in index — poorly documented packages may rank lower","Real-time package updates may lag behind actual package registry releases","Limited to packages included in Chroma's index — niche or private packages not covered","Semantic search can return false positives if package descriptions are vague or misleading","Context injection adds latency to agent initialization — not suitable for sub-100ms response requirements","Package information freshness depends on Chroma's index update frequency","Agents may still hallucinate package APIs or capabilities not in the indexed metadata","No built-in version compatibility checking — agents must infer compatibility from descriptions","Normalization quality varies by ecosystem — some ecosystems have richer metadata than others","Cross-ecosystem equivalence is heuristic-based and may miss subtle differences in functionality","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.37,"ecosystem":0.35000000000000003,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.15,"quality":0.25,"ecosystem":0.1,"match_graph":0.45,"freshness":0.05}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-06-17T09:51:02.371Z","last_scraped_at":"2026-05-03T14:00:15.503Z","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=chroma-package-search","compare_url":"https://unfragile.ai/compare?artifact=chroma-package-search"}},"signature":"ObuXePRe9+hyLn5dMXLztXRcr4BoJ16qQleS9ADp6w5nT8ndpJdnAiHaCUpwBu5SwtBy2GaXGUCkIEjmGg7aDA==","signedAt":"2026-06-22T02:55:20.850Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/chroma-package-search","artifact":"https://unfragile.ai/chroma-package-search","verify":"https://unfragile.ai/api/v1/verify?slug=chroma-package-search","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"}}