{"id":29690308,"url":"https://github.com/alchaplinsky/regent-ts","last_synced_at":"2025-07-23T06:06:52.433Z","repository":{"id":298195914,"uuid":"997616338","full_name":"alchaplinsky/regent-ts","owner":"alchaplinsky","description":"✨ Building AI Agents 🤖 with TypeScript","archived":false,"fork":false,"pushed_at":"2025-06-06T21:38:51.000Z","size":62,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2025-07-19T06:30:13.599Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"TypeScript","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/alchaplinsky.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE.md","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2025-06-06T20:46:58.000Z","updated_at":"2025-06-08T17:41:19.000Z","dependencies_parsed_at":"2025-06-09T22:43:39.032Z","dependency_job_id":"3ee18eb6-5adf-46ff-9ebf-d9e2635ed216","html_url":"https://github.com/alchaplinsky/regent-ts","commit_stats":null,"previous_names":["alchaplinsky/regent-ts"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/alchaplinsky/regent-ts","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/alchaplinsky%2Fregent-ts","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/alchaplinsky%2Fregent-ts/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/alchaplinsky%2Fregent-ts/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/alchaplinsky%2Fregent-ts/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/alchaplinsky","download_url":"https://codeload.github.com/alchaplinsky/regent-ts/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/alchaplinsky%2Fregent-ts/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":266626115,"owners_count":23958344,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-07-23T02:00:09.312Z","response_time":66,"last_error":null,"robots_txt_status":null,"robots_txt_updated_at":null,"robots_txt_url":"https://github.com/robots.txt","online":true,"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":"2025-07-23T06:06:51.634Z","updated_at":"2025-07-23T06:06:52.422Z","avatar_url":"https://github.com/alchaplinsky.png","language":"TypeScript","funding_links":[],"categories":[],"sub_categories":[],"readme":"![regent_light](https://github.com/user-attachments/assets/62564dac-b8d7-4dc0-9b63-64c6841b5872)\n\n\u003cdiv align=\"center\"\u003e\n\n# Regent\n\n[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)\n\n\u003c/div\u003e\n\n**Regent** is a small and elegant TypeScript library for building AI agents that can think, reason, and take actions through tools. It provides a clean, intuitive interface for creating agents that can solve complex problems by breaking them down into logical steps.\n\n## Key Features\n\n- **ReAct Pattern Implementation**: Agents follow the Reasoning-Action pattern, making decisions through a clear thought process before taking actions\n- **Multi-LLM Support**: Seamlessly works with:\n  - OpenAI (GPT models)\n  - Anthropic (Claude models)\n  - Google (Gemini models)\n- **Extensible Tool System**: Create custom tools that agents can use to interact with external services, APIs, or perform specific tasks\n- **Built-in Tracing**: Every agent interaction is traced and can be replayed, making debugging and monitoring straightforward\n- **Clean Ruby Interface**: Designed to feel natural to Ruby developers while maintaining powerful capabilities\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Falchaplinsky%2Fregent-ts","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Falchaplinsky%2Fregent-ts","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Falchaplinsky%2Fregent-ts/lists"}