Features
Multi-agent team collaboration demos
Graph workflow examples with routes and loops
Streaming agent examples (Python, Java)
Human input and dynamic workflow patterns
Integration with Gemini, Gemma, Claude, and local models via Ollama/vLLM
MCP and A2A protocol client/server examples
Custom function tool demonstrations
Skill and artifact management samples
Session and memory state handling
Evaluation and observability setup examples
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
