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Add .ai/MASTER_INDEX.json and PROJECT_CONTEXT.md plus the chroma_db (SQLite and binary shards) to capture the project index and vector DB. Import many project artifacts: agent implementations (agents/*), crew-orchestrator code and docs, docs/guides and design docs, UI assets, Dockerfiles, backups and archives, and miscellaneous reports. This commit seeds the repository with the HAFS-generated index and supporting files so tooling and agents can reference the project graph and local embedding store.
Add a large set of documentation and tooling for HyperCode V2.0: final system verification, health check, fixes reports, Dockerfile fix notes, hyper-running improvement report, and comprehensive test-upgrade documents and indexes (including a LICENSE). Introduce a HAFS scripts package (scripts/hafs/*) and several helper scripts (fix_agents.sh/.bat, start_hafs, query_hafs, validate_swarm, organize_repo, view_graph) to support agent management, indexing, embeddings, semantic search, and swarm validation. Documents describe applied fixes (agents IndexError, auth 401, DB pool, missing agent files in Docker images) and provide rebuild/verification steps to recover agent health and readiness for production.
Add a comprehensive SYSTEM VALIDATION.md documenting HAFS integration and end-to-end validation. The file includes: Docker Compose snippet for a hafs-service, agent code examples (query_hafs, execute) and an orchestrator plan_task endpoint showing how agents query HAFS; full-system test scenarios (autonomous bug fix and self-correction flows); deployment and monitoring steps (Prometheus/Grafana, health checks); and a summary of autonomous capabilities, metrics to track, and next steps. This is documentation only to validate and demonstrate the autonomous agent/HAFS workflow and production deployment checklist.
Initial scaffold for BROski Pantheon 2.0: adds architecture docs, test reports, deployment & integration guides, and quickstart scripts, plus the cagent orchestration manifest and MCP server implementations. Key additions include cagent-pantheon.yaml, three MCP servers (hypercode, hyperflow-editor, broski-terminal), deployment/checklist docs, implementation and integration guides, test artifacts, and startup scripts for local model usage. Purpose: provide a neurodivergent-first multi-agent framework with local model support and IDE integration to validate and deploy the Pantheon agent stack.
Add a collection of operational and testing utilities for the project: backup scripts (backup_hypercode.sh / .ps1), comprehensive test runner (execute_comprehensive_tests.ps1), agent recovery scripts (fix_agents.sh / .bat), Pantheon quickstart checks (pantheon-quickstart.sh / .ps1), AI test harness (run_ai_tests.py), and a health-check multi-agent script (hypercode_health_crew.py). Also add placeholder test report files and a tsconfig.json for broski-terminal, and update .dockerignore to include .trae, legacy, data paths and to keep env example files. These additions provide local/CI diagnostics, automated backups, test orchestration, and agent recovery tooling to simplify development and debugging.
Add a large set of project documentation and reports for HyperCode and the BROski agent system. Key additions include: Agent Architecture Map (pantheon, patterns, templates), BROski Terminal Hyper Swarm (event-driven swarm UI + MVP steps), Comprehensive Health Report V2, Docker troubleshooting guide (.dockerignore recommendations), extensive HyperCode research/roadmap (protocols, brittleness, marketplace, pricing, security/TRiSM), several planning/phase files, and two health_check_agent_test JSON reports under src/hypercode-core/reports. These files provide architecture guidance, implementation patterns, operational playbooks and research priorities to onboard contributors and drive near-term work (A2A/MCP/ACP, brittleness mitigation, CI/test fixes, and Hyper Running MVP).
Introduce the NEXUS cognitive agent system and supporting artifacts. Adds architecture docs (NEXUS/*.docx, ULTIMATE_AGENT_TEAM_ARCHITECTURE.md, PHOENIX_DOC_REVIEW.md), a React UI preview (NEXUS/nexus-agent-system.jsx) and prototype Python agents under src/agents/nexus: bridge (BridgeAgent), broski_stub (BroskiOrchestrator + Pixel/Core/Tester), cortex (CortexAgent), pulse (PulseAgent), weaver (WeaverAgent). Also includes simulation/test scripts (test_full_flow.py, test_nexus_flow.py, test_two_key_rule.py) that demonstrate intent analysis, orchestration handoff, energy checks, translation, and the two-key validation flow. These are initial mock implementations intended for local simulation and iteration.
update all Docs
- Add Nexus Bridge Server and Weaver Agent sections to README - Update QUICKSTART with Bridge Server setup instructions - Extend architecture diagram to include Nexus components - Update CHANGELOG for v2.1.0 release - Document WebSocket API in API reference - Update frontend WebSocket hook for Bridge Server integration - Enhance Weaver Agent with ChromaDB vector store support
Add comprehensive audit report for HyperCode V2.0 repository identifying 3 critical and 5 high severity issues. The report includes detailed findings across security vulnerabilities, infrastructure readiness, testing gaps, and performance bottlenecks, along with a prioritized remediation checklist for production deployment.
- Move audit reports and test results to docs/archive/audit_cleanup directory - Update Prometheus configuration to use single alert.rules.yml file - Add gunicorn to production Dockerfiles for better concurrency - Improve error logging in config.py and agents.py - Update README with proper dev/prod compose instructions - Add SECURITY.md and enterprise hardening roadmap - Fix CI pipeline coverage threshold and working directories - Update .env.example with stronger security defaults
- Add Kubernetes YAML files for namespace, secrets, configmaps, storage, databases, and backend deployments - Create comprehensive orchestration guide and quick reference documentation - Implement centralized health monitoring script with real-time dashboard - Add Windows batch and PowerShell startup scripts for easy management - Extend LLM factory to support Docker model runner provider - Update agent health checks and Docker build optimizations
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