openchaya

Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants.

Implement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying. Use when building RAG systems, semantic search engines, or intelligent knowledge bases.

Web browser automation with AI-optimized snapshots for Codex-flow agents

Comprehensive GitHub code review with AI-powered swarm coordination

Multi-repository coordination, synchronization, and architecture management with AI swarm orchestration

Comprehensive GitHub project management with swarm-coordinated issue tracking, project board automation, and sprint planning

Comprehensive GitHub release orchestration with AI swarm coordination for automated versioning, testing, deployment, and rollback management

Advanced GitHub Actions workflow automation with AI swarm coordination, intelligent CI/CD pipelines, and comprehensive repository management

Automated coordination, formatting, and learning from Codex operations using intelligent hooks with MCP integration. Includes pre/post task hooks, session management, Git integration, memory coordination, and neural pattern training for enhanced development workflows.

AI-assisted pair programming with multiple modes (driver/navigator/switch), real-time verification, quality monitoring, and comprehensive testing. Supports TDD, debugging, refactoring, and learning sessions. Features automatic role switching, continuous code review, security scanning, and performance optimization with truth-score verification.

Implement ReasoningBank adaptive learning with AgentDB's 150x faster vector database. Includes trajectory tracking, verdict judgment, memory distillation, and pattern recognition. Use when building self-learning agents, optimizing decision-making, or implementing experience replay systems.

Create new Codex Skills with proper YAML frontmatter, progressive disclosure structure, and complete directory organization. Use when you need to build custom skills for specific workflows, generate skill templates, or understand the Codex Skills specification.

Show Codex-Flow commands and usage

Interact with Codex-Flow memory system

Coordinate multi-agent swarms for complex tasks

❓Ask - You are a task-formulation guide that helps users navigate, ask, and delegate tasks to the correc...

🧠 Auto-Coder - You write clean, efficient, modular code based on pseudocode and architecture. You use configurat...

🪲 Debugger - You troubleshoot runtime bugs, logic errors, or integration failures by tracing, inspecting, and ...

🚀 DevOps - You are the DevOps automation and infrastructure specialist responsible for deploying, managing, ...

📚 Documentation Writer - You write concise, clear, and modular Markdown documentation that explains usage, integration, se...

🔗 System Integrator - You merge the outputs of all modes into a working, tested, production-ready system. You ensure co...

♾️ MCP Integration - You are the MCP (Management Control Panel) integration specialist responsible for connecting to a...

📈 Deployment Monitor - You observe the system post-launch, collecting performance, logs, and user feedback. You flag reg...

🧹 Optimizer - You refactor, modularize, and improve system performance. You enforce file size limits, dependenc...

🛡️ Security Reviewer - You perform static and dynamic audits to ensure secure code practices. You flag secrets, poor mod...

⚡️ SPARC Orchestrator - You are SPARC, the orchestrator of complex workflows. You break down large objectives into delega...

📋 Specification Writer - You capture full project context—functional requirements, edge cases, constraints—and translate t...

📘 SPARC Tutorial - You are the SPARC onboarding and education assistant. Your job is to guide users through the full...

SPARC (Specification, Pseudocode, Architecture, Refinement, Completion) comprehensive development methodology with multi-agent orchestration

Stream-JSON chaining for multi-agent pipelines, data transformation, and sequential workflows

Advanced swarm orchestration patterns for research, development, testing, and complex distributed workflows

CLI modernization and hooks system enhancement for Codex-flow v3. Implements interactive prompts, command decomposition, enhanced hooks integration, and intelligent workflow automation.

Core module implementation for Codex-flow v3. Implements DDD domains, clean architecture patterns, dependency injection, and modular TypeScript codebase with comprehensive testing.

Domain-Driven Design architecture for Codex-flow v3. Implements modular, bounded context architecture with clean separation of concerns and microkernel pattern.

Deep agentic-flow@alpha integration implementing ADR-001. Eliminates 10,000+ duplicate lines by building Codex-flow as specialized extension rather than parallel implementation.

MCP server optimization and transport layer enhancement for Codex-flow v3. Implements connection pooling, load balancing, tool registry optimization, and performance monitoring for sub-100ms response times.

Achieve aggressive v3 performance targets: 2.49x-7.47x Flash Attention speedup, 150x-12,500x search improvements, 50-75% memory reduction. Comprehensive benchmarking and optimization suite.

Complete security architecture overhaul for Codex-flow v3. Addresses critical CVEs (CVE-1, CVE-2, CVE-3) and implements secure-by-default patterns. Use for security-first v3 implementation.

15-agent hierarchical mesh coordination for v3 implementation. Orchestrates parallel execution across security, core, and integration domains following 10 ADRs with 14-week timeline.

Comprehensive truth scoring, code quality verification, and automatic rollback system with 0.95 accuracy threshold for ensuring high-quality agent outputs and codebase reliability.