{"adoption": {"forks": 79, "observed_at": "2026-08-28T04:05:50.900918+00:00", "stars": 1895}, "canonical_url": "https://ross.abutalabs.com/products/promnesia", "card": {"archived": false, "artifact_type": "application", "description": "Another piece of your extended mind", "domain": ["developer-tools", "privacy", "self-hosted"], "enriched": true, "function": ["search-engine", "web-scraping", "browser-extension", "developer-tools", "self-hosted"], "health_score": 96, "homepage": "https://beepb00p.xyz/promnesia.html", "language": "Python", "license": "MIT", "license_family": "permissive", "maturity": "active", "member_repos": ["karlicoss/promnesia"], "name": "karlicoss/promnesia", "platform": ["python", "browser", "browser-extension", "cross-platform", "self-hosted", "windows"], "pushed_at": "2026-08-07T20:43:54+00:00", "repo": "karlicoss/promnesia", "stars": 1895, "tags": ["personal-knowledge-management", "browser-history", "extended-mind", "memex", "pkm", "quantified-self", "search", "linux", "macos"], "topics": ["personal-knowledge-database", "pkm", "mind", "browser-history", "memory", "extended-mind", "memex"], "urls": [], "use_cases": ["see which pages I already visited and when while browsing", "annotate web pages with notes from my knowledge base", "search across my scattered browser history from multiple devices", "build a personal memex from my digital trace", "highlight pages I've saved or visited before", "import browser history from Chrome, Firefox, and mobile browsers"], "what_it_is": "Promnesia is a browser extension plus Python backend that enhances browsing history by annotating visited pages with context from multiple sources like browser history, annotations, and personal notes. It acts as a 'web surfing copilot' that integrates your browsing with your personal knowledge base.", "when_to_avoid": ["you just want simple built-in browser history without setup", "you prefer a fully managed cloud service with zero configuration", "you don't want to run a Python backend server"], "when_to_choose": ["you want a self-hosted, privacy-respecting alternative to cloud history services", "you keep a personal wiki or notes and want them linked to your browsing", "you need to unify history from multiple browsers and devices"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/promnesia", "repo": "karlicoss/promnesia", "role": "main", "score": 82}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:05:50.900918+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T03:12:51.538342+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "2f1c7ca457adfd304abf17f73e18b9bc5b2a4997ba1723591fdaa89584c8d810", "fetched_at": "2026-08-29T10:51:49.299182+00:00", "kind": "homepage", "missing": false, "url": "https://beepb00p.xyz/promnesia.html"}, {"content_hash": "6f66443eea3fee8e5259dcdedef84a043aaa689f5089ae437212e0e96146aa09", "fetched_at": "2026-08-29T10:51:49.302644+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/promnesia/json"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:05:50.900918+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T03:12:51.538342+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "2f1c7ca457adfd304abf17f73e18b9bc5b2a4997ba1723591fdaa89584c8d810", "fetched_at": "2026-08-29T10:51:49.299182+00:00", "kind": "homepage", "missing": false, "url": "https://beepb00p.xyz/promnesia.html"}, {"content_hash": "6f66443eea3fee8e5259dcdedef84a043aaa689f5089ae437212e0e96146aa09", "fetched_at": "2026-08-29T10:51:49.302644+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/promnesia/json"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T03:12:51.538342+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "2f1c7ca457adfd304abf17f73e18b9bc5b2a4997ba1723591fdaa89584c8d810", "fetched_at": "2026-08-29T10:51:49.299182+00:00", "kind": "homepage", "missing": false, "url": "https://beepb00p.xyz/promnesia.html"}, {"content_hash": "6f66443eea3fee8e5259dcdedef84a043aaa689f5089ae437212e0e96146aa09", "fetched_at": "2026-08-29T10:51:49.302644+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/promnesia/json"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:05:50.900918+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:05:50.900918+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:05:50.900918+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T03:12:51.538342+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "2f1c7ca457adfd304abf17f73e18b9bc5b2a4997ba1723591fdaa89584c8d810", "fetched_at": "2026-08-29T10:51:49.299182+00:00", "kind": "homepage", "missing": false, "url": "https://beepb00p.xyz/promnesia.html"}, {"content_hash": "6f66443eea3fee8e5259dcdedef84a043aaa689f5089ae437212e0e96146aa09", "fetched_at": "2026-08-29T10:51:49.302644+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/promnesia/json"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:05:50.900918+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:05:50.900918+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T03:12:51.538342+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "2f1c7ca457adfd304abf17f73e18b9bc5b2a4997ba1723591fdaa89584c8d810", "fetched_at": "2026-08-29T10:51:49.299182+00:00", "kind": "homepage", "missing": false, "url": "https://beepb00p.xyz/promnesia.html"}, {"content_hash": "6f66443eea3fee8e5259dcdedef84a043aaa689f5089ae437212e0e96146aa09", "fetched_at": "2026-08-29T10:51:49.302644+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/promnesia/json"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:05:50.900918+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:05:50.900918+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:05:50.900918+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T03:12:51.538342+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "2f1c7ca457adfd304abf17f73e18b9bc5b2a4997ba1723591fdaa89584c8d810", "fetched_at": "2026-08-29T10:51:49.299182+00:00", "kind": "homepage", "missing": false, "url": "https://beepb00p.xyz/promnesia.html"}, {"content_hash": "6f66443eea3fee8e5259dcdedef84a043aaa689f5089ae437212e0e96146aa09", "fetched_at": "2026-08-29T10:51:49.302644+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/promnesia/json"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:05:50.900918+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:05:50.900918+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T03:12:51.538342+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "2f1c7ca457adfd304abf17f73e18b9bc5b2a4997ba1723591fdaa89584c8d810", "fetched_at": "2026-08-29T10:51:49.299182+00:00", "kind": "homepage", "missing": false, "url": "https://beepb00p.xyz/promnesia.html"}, {"content_hash": "6f66443eea3fee8e5259dcdedef84a043aaa689f5089ae437212e0e96146aa09", "fetched_at": "2026-08-29T10:51:49.302644+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/promnesia/json"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T03:12:51.538342+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "2f1c7ca457adfd304abf17f73e18b9bc5b2a4997ba1723591fdaa89584c8d810", "fetched_at": "2026-08-29T10:51:49.299182+00:00", "kind": "homepage", "missing": false, "url": "https://beepb00p.xyz/promnesia.html"}, {"content_hash": "6f66443eea3fee8e5259dcdedef84a043aaa689f5089ae437212e0e96146aa09", "fetched_at": "2026-08-29T10:51:49.302644+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/promnesia/json"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T03:12:51.538342+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "2f1c7ca457adfd304abf17f73e18b9bc5b2a4997ba1723591fdaa89584c8d810", "fetched_at": "2026-08-29T10:51:49.299182+00:00", "kind": "homepage", "missing": false, "url": "https://beepb00p.xyz/promnesia.html"}, {"content_hash": "6f66443eea3fee8e5259dcdedef84a043aaa689f5089ae437212e0e96146aa09", "fetched_at": "2026-08-29T10:51:49.302644+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/promnesia/json"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T03:12:51.538342+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "2f1c7ca457adfd304abf17f73e18b9bc5b2a4997ba1723591fdaa89584c8d810", "fetched_at": "2026-08-29T10:51:49.299182+00:00", "kind": "homepage", "missing": false, "url": "https://beepb00p.xyz/promnesia.html"}, {"content_hash": "6f66443eea3fee8e5259dcdedef84a043aaa689f5089ae437212e0e96146aa09", "fetched_at": "2026-08-29T10:51:49.302644+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/promnesia/json"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 96, "longevity": 100, "rhythm": 54}, "computed_at": "2026-09-03T02:20:16.233290+00:00", "flags": ["no_readme"], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 2706, "days_push": 26, "days_rel": 148, "gap_med": 178, "n_releases_24m": 4}, "score": 82, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}