Features
Multi-LLM orchestration (Claude, Gemini, Codex, Ollama, Mistral)
Intelligent routing of tasks to best model
Pipeline/workflow chaining of agents
Autopilot mode for autonomous execution
Multi-agent modes: Compare, Debate, Correction, Consensus
Agentic execution with file editing and bash commands
Persistent memory with vector search
AST indexing and dependency graph analysis
Indexing and search features
TUI commands (/compare, /debate, etc.)
CLI commands (puzldai run, puzldai agent, etc.)
Observation layer for monitoring
Training data generation support
Live knowledge graph from code, commits, issues, and docs
Feasibility analysis: flags buildable vs risky items
Technical design document generation grounded in service topology
Impact assessment maps services, APIs, and dependencies across repos
Auto-scoping epics into Jira/Linear stories with effort estimates
One-shot production code generation grounded in service patterns
AI code reviews with cross-repo impact analysis
Production issue triage via MCP
Conversational learning from Slack and Jira
Accelerated onboarding via system-level Q&A in coding agents
Create Jira tickets and merge requests from Slack
MCP server for integration with Cursor, Claude Code, Codex
On-prem or cloud deployment
No code storage or model training
