{"id":50342668,"url":"https://github.com/profrandom92/comptext-cli","last_synced_at":"2026-05-29T18:00:47.063Z","repository":{"id":356247705,"uuid":"1230651301","full_name":"ProfRandom92/Comptext-cli","owner":"ProfRandom92","description":null,"archived":false,"fork":false,"pushed_at":"2026-05-07T09:00:29.000Z","size":91,"stargazers_count":0,"open_issues_count":1,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2026-05-07T09:31:41.924Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/ProfRandom92.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"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,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2026-05-06T07:35:35.000Z","updated_at":"2026-05-07T08:51:59.000Z","dependencies_parsed_at":null,"dependency_job_id":null,"html_url":"https://github.com/ProfRandom92/Comptext-cli","commit_stats":null,"previous_names":["profrandom92/comptext-cli"],"tags_count":null,"template":false,"template_full_name":null,"purl":"pkg:github/ProfRandom92/Comptext-cli","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ProfRandom92%2FComptext-cli","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ProfRandom92%2FComptext-cli/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ProfRandom92%2FComptext-cli/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ProfRandom92%2FComptext-cli/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ProfRandom92","download_url":"https://codeload.github.com/ProfRandom92/Comptext-cli/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ProfRandom92%2FComptext-cli/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":33664259,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-26T15:22:16.424Z","status":"online","status_checked_at":"2026-05-29T02:00:06.066Z","response_time":107,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","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":"2026-05-29T18:00:45.429Z","updated_at":"2026-05-29T18:00:47.057Z","avatar_url":"https://github.com/ProfRandom92.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# CompText Safe CI + MCP Test Harness\n\n## Overview\nCompText is a professional, self-learning adaptive AI kernel. This repository implements a **Safe CI Layer** and **MCP Test Harness** to ensure the evolution of the kernel remains deterministic and stable during integration.\n\n- **Deterministic CI Layer**: Prevents system drift during automated testing.\n- **MCP Mocked Environment**: Fully simulates Context7 and Render MCPs.\n- **Zero-Drift Validation**: Enforces safety bounds on system learning.\n\n## Architecture\nThe CompText system is composed of several intelligent layers working in concert:\n\n- **Kernel**: The core self-learning system implementing adaptive reasoning.\n- **Router**: Adaptive scoring engine that maps intents to actions.\n- **Agent Loop**: The main execution pipeline coordinating kernel logic.\n- **Tool Intelligence**: Performance-aware selection of internal and external tools.\n- **MCP Bridge**: Unified interface for Context7 (Semantic) and Render (Execution) MCPs.\n- **Stability Guard**: Stability layer that monitors system drift and enforces operational bounds.\n- **Safe CI Harness**: The testing infrastructure implemented in this repository.\n\n### System Flow\n```\nCompText Kernel\n      ↓\nRouter (Adaptive Scoring)\n      ↓\nAgent Loop\n      ↓\nTool Intelligence → MCP Bridge\n      ↓\nContext7 / Render (Mocked in CI)\n```\n\n## Safe CI Mode\nDuring CI/CD execution, the system operates in a specialized **Safe Mode**:\n- **No Learning**: Router weights and Brain performance metrics are not updated.\n- **MCP Mocks**: All external MCP calls are intercepted and handled by the Mock Layer.\n- **Deterministic Execution**: Randomized behaviors are disabled to ensure reproducibility.\n- **Isolation**: Test runs do not persist changes to the production memory state.\n\n## MCP Mock System\nThe harness provides specialized mocks for external dependencies:\n- **Context7 Mock**: Provides stable, semantic retrieval results for validation.\n- **Render Mock**: Simulates execution runtimes and deployment feedback with guaranteed latency profiles.\n- **Reproducibility**: Guarantees that the same input always produces the same output in the CI environment.\n\n## Testing Strategy\n- **Unit Tests**: Direct validation of Router logic, Memory constraints, and DAG execution.\n- **CI Regression Tests**: Automated verification of core kernel behaviors on every push.\n- **Drift Prevention**: Ensures that architectural changes do not violate the stability bounds.\n- **Deterministic DAG Checks**: Validates dependency resolution and parallel execution patterns.\n\n## Why This Matters\nAdaptive AI systems are prone to **system drift**—where learning from a specific environment degrades performance in another. This CI infrastructure:\n- Prevents runaway learning side effects.\n- Ensures absolute reproducibility of system failures.\n- Enables safe, rapid evolution of the kernel without risking production stability.\n\n## CI Pipeline\nThe GitHub Actions workflow follows a strict validation path:\n1. **Checkout**: Source code retrieval.\n2. **Setup**: Python 3.11 environment initialization.\n3. **Install**: Dependency resolution including `pytest` and `pytest-asyncio`.\n4. **Pytest**: Execution of the deterministic CI test suite.\n5. **Validate**: Final check of system stability.\n\n## Safety Guarantee\n\u003e \"The CI environment is fully isolated from the adaptive learning system and enforces deterministic execution across all components.\"\n\n---\n*CompText Kernel v1.0.0-ci*\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fprofrandom92%2Fcomptext-cli","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fprofrandom92%2Fcomptext-cli","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fprofrandom92%2Fcomptext-cli/lists"}