{"id":29622711,"url":"https://github.com/gin66/metaagentsystem","last_synced_at":"2025-07-21T04:36:57.476Z","repository":{"id":305541449,"uuid":"1023159241","full_name":"gin66/MetaAgentSystem","owner":"gin66","description":"Experiment to generate an AI bootstrapped MetaAgentSystem (initial with grok4/gemini)","archived":false,"fork":false,"pushed_at":"2025-07-20T17:54:41.000Z","size":102,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2025-07-20T18:25:48.813Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Swift","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/gin66.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","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":"2025-07-20T16:44:57.000Z","updated_at":"2025-07-20T17:54:45.000Z","dependencies_parsed_at":"2025-07-20T18:36:50.490Z","dependency_job_id":null,"html_url":"https://github.com/gin66/MetaAgentSystem","commit_stats":null,"previous_names":["gin66/metaagentsystem"],"tags_count":null,"template":false,"template_full_name":null,"purl":"pkg:github/gin66/MetaAgentSystem","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gin66%2FMetaAgentSystem","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gin66%2FMetaAgentSystem/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gin66%2FMetaAgentSystem/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gin66%2FMetaAgentSystem/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/gin66","download_url":"https://codeload.github.com/gin66/MetaAgentSystem/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gin66%2FMetaAgentSystem/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":266241330,"owners_count":23898066,"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","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":"2025-07-21T04:36:56.789Z","updated_at":"2025-07-21T04:36:57.469Z","avatar_url":"https://github.com/gin66.png","language":"Swift","funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003c!--\nThis file is intended to be read by the AI agents and not parsed by the agentic system.\n--\u003e\n# Meta Agentic AI System\n\n## Overview\nThis project involves developing a Meta Agentic AI system using Swift and Ollama. The system is designed to be self-improving, optimizing agent and LLM performance through adaptive process design and rigorous performance evaluation.\n\nThe project is structured to ensure that all development and operations are contained within the `projects/MetaAgentSystem` directory. This includes all source code, tests, documentation, and operational scripts.\n\n## Vision\nThe vision is to create a dynamic, self-improving meta agentic AI system that optimizes agent and LLM performance, ensuring continuous progress and breakthrough results through adaptive process design and rigorous performance evaluation.\n\n## Stakeholder Requirements\nThe system will manage agent-LLM pairings, optimize processes, and ensure continuous progress via performance evaluation, with agents running in isolated Swift containers. All operations and file modifications are restricted to the `projects/MetaAgentSystem` directory.\n\n## Agile Plan\nThe project will follow an agile implementation plan with fast sprints. Each sprint will deliver a testable deliverable. All work, including code, tests, and documentation, is managed within the `projects/MetaAgentSystem` directory.\n\n## How it Works\nThe system uses a `bootstrap.swift` script to automate the development process. This script operates exclusively within the `projects/MetaAgentSystem` directory and performs the following steps:\n1.  **Verifies a clean git state.** Before starting, it ensures that there are no uncommitted changes.\n2.  **Reads the current sprint plan.** It reads the `NextSteps.json` file to determine the tasks for the current sprint.\n3.  **Generates code.** An AI agent generates Swift code and unit tests based on the sprint plan.\n4.  **Builds and tests.** The script compiles the code and runs the unit tests.\n5.  **Commits the changes.** If the build and tests are successful, the script commits the changes with a descriptive message.\n6.  **Plans the next sprint.** An AI agent updates `NextSteps.json` with the plan for the next sprint.\n\nThis entire process is confined to the `projects/MetaAgentSystem` directory, ensuring that no other part of the file system is affected.","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgin66%2Fmetaagentsystem","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fgin66%2Fmetaagentsystem","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgin66%2Fmetaagentsystem/lists"}