Features
ZSH plugin triggering AI via ':' prompt
Multi-provider support for 300+ LLM models
Mix-and-match models within one session
Multi-agent architecture (Forge, Muse, Sage)
Codebase understanding with semantic search (ForgeCode Services)
Tool-call guardrails for local model alignment
Conversation compaction and cloning
Natural language to CLI command conversion
Custom command support in ZSH and non-interactive mode
Plan progress tracking for task management
No API key required for ForgeCode Services
Rigorous automated testing pipeline per change
Environment variable command (env)
Active item highlight in ZSH
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
