Features
Ultra-lightweight personal AI agent
Long-horizon task execution (tens to hundreds of steps)
Context coherence maintenance across long tasks
Kernel-standard agent runtime (embeddable)
Predictable token budgets and spend
Open-source under MIT license
Installable via PyPI, UV, or source pip
Multi-language documentation (9 languages)
No external dependencies beyond Python
Steady, fast, and scalable execution
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
