{"id":47684973,"url":"https://github.com/legionio/lex-agentic-learning","last_synced_at":"2026-05-16T01:12:40.501Z","repository":{"id":345222281,"uuid":"1184968759","full_name":"LegionIO/lex-agentic-learning","owner":"LegionIO","description":"LegionIO agentic domain gem: learning cognition extensions","archived":false,"fork":false,"pushed_at":"2026-04-01T00:24:44.000Z","size":183,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2026-04-03T02:20:38.974Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Ruby","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/LegionIO.png","metadata":{"files":{"readme":"README.md","changelog":"CHANGELOG.md","contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":".github/CODEOWNERS","security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2026-03-18T05:26:28.000Z","updated_at":"2026-04-01T00:24:14.000Z","dependencies_parsed_at":null,"dependency_job_id":null,"html_url":"https://github.com/LegionIO/lex-agentic-learning","commit_stats":null,"previous_names":["legionio/lex-agentic-learning"],"tags_count":6,"template":false,"template_full_name":null,"purl":"pkg:github/LegionIO/lex-agentic-learning","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LegionIO%2Flex-agentic-learning","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LegionIO%2Flex-agentic-learning/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LegionIO%2Flex-agentic-learning/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LegionIO%2Flex-agentic-learning/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/LegionIO","download_url":"https://codeload.github.com/LegionIO/lex-agentic-learning/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LegionIO%2Flex-agentic-learning/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":31495466,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-06T17:22:55.647Z","status":"ssl_error","status_checked_at":"2026-04-06T17:22:54.741Z","response_time":112,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2026-04-02T14:43:12.150Z","updated_at":"2026-05-07T07:07:44.393Z","avatar_url":"https://github.com/LegionIO.png","language":"Ruby","funding_links":[],"categories":[],"sub_categories":[],"readme":"# lex-agentic-learning\n\nDomain consolidation gem for learning, adaptation, and knowledge acquisition. Bundles 15 sub-modules into one loadable unit under `Legion::Extensions::Agentic::Learning`.\n\n## Overview\n\n**Gem**: `lex-agentic-learning`\n**Version**: 0.1.10\n**Namespace**: `Legion::Extensions::Agentic::Learning`\n\n## Sub-Modules\n\n| Sub-Module | Purpose |\n|---|---|\n| `Learning::Curiosity` | Intrinsic curiosity — knowledge gap detection, wonder queue, salience decay |\n| `Learning::EpistemicCuriosity` | Information-gap theory — specific vs. diversive curiosity |\n| `Learning::Hebbian` | Cell assembly formation — neurons that fire together wire together |\n| `Learning::Habit` | Habit formation — action sequence pattern recognition, maturity stages |\n| `Learning::LearningRate` | Dynamic learning rate adaptation based on accuracy and stability |\n| `Learning::MetaLearning` | Learning-to-learn — strategy selection per domain |\n| `Learning::PreferenceLearning` | Learns stable preferences from choices over time |\n| `Learning::Procedural` | Skill acquisition through practice — automatization |\n| `Learning::Anchoring` | Anchoring bias in estimation |\n| `Learning::Plasticity` | Neural-style plasticity — synaptic weight adjustment |\n| `Learning::Scaffolding` | Temporary learning assists that fade as competence grows |\n| `Learning::Fermentation` | Time-based transformation of knowledge |\n| `Learning::Chrysalis` | Metamorphic state change — transformation through withdrawal |\n| `Learning::Catalyst` | Accelerating cognitive transformation |\n| `Learning::OutcomeListener` | Outcome-gated learning — listens for task completions and updates meta-learning, learning rate, and scaffolding models |\n\n## Actors\n\n6 actors handle autonomous background processing:\n\n- `Learning::Curiosity::Actor::Decay` — every 300s, decays wonder salience\n- `Learning::EpistemicCuriosity::Actor::Decay` — every 300s, decays knowledge gaps\n- `Learning::Habit::Actor::Decay` — every 300s, prunes stale habits\n- `Learning::Hebbian::Actors::Decay` — every 60s, decays Hebbian assembly connection strength\n- `Learning::PreferenceLearning::Actors::Decay` — every 300s, decays older preference observations\n- `Learning::OutcomeListener::Actor::OutcomeListener` — **subscription** actor, receives task outcome events and triggers cross-model learning updates; writes lessons to Apollo when enabled\n\n## Installation\n\n```ruby\ngem 'lex-agentic-learning'\n```\n\n## Development\n\n```bash\nbundle install\nbundle exec rspec\nbundle exec rubocop\n```\n\n## License\n\nMIT\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flegionio%2Flex-agentic-learning","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Flegionio%2Flex-agentic-learning","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flegionio%2Flex-agentic-learning/lists"}