Everything you need to orchestrate AI development

Multi-phase pipeline: prompt, stream, review, execute, verify. Structured phases with safety gates.

Feature hierarchies, endpoint maps, and dependency tracking for architecture-aware AI.

Route tasks to different models by capability. Multi-host support with fallback chains.

Automatic fix generation with error context, step tree injection, and re-verification.

8-point pre-execution check and post-execution verification against acceptance criteria.

JWT authentication, multi-tenant organizations, team management, and role-based access control with audit logging.

ChromaDB vector search across files, memories, and error patterns. Semantic file ranking and intelligent context enrichment.

PaddleOCR text extraction, vision-language model analysis, and Playwright screenshot capture.

Streaming Whisper STT with Silero VAD, plus TTS via Piper, Kokoro, and Qwen3-TTS. Full voice chat in the dashboard and mobile app.

Terminal-based AI agent with reasoning mode, file ops, session persistence, and per-directory permissions.

Direct chat with local LLMs. Streaming responses, session history, and model routing.

MCP server giving LLMs access to project state, code search, git operations, and web lookup.

File context selection, affected file tracking, and smart context loading for prompts.

Claims, proofs, and structured evidence ledgers for every orchestration run.

React Native app with streaming chat, voice input, and model browsing. Your AI workstation in your pocket.

Automatic branch-per-request, phase-based commits, and safe rebase-and-merge on review pass.

Local Stable Diffusion txt2img and img2img, LLM-refined prompts with vision validation, SVG and code pipelines, and reusable generate templates.

Regex + vector hybrid error matching with automatic fix recall from previous resolutions.

Organize projects into programs and portfolios. Hierarchical project management with assignment and grouping.

Deploy with Ansible + systemd. Systemd hardening, multi-host GPU fleet support, and automated bootstrapping.

Full LLM interaction logs with prompts, responses, and token usage tracking.

Export complete project data to JSON. Archive to S3 with timestamped snapshots. Restore from any backup.

Local MinIO for assets, screenshots, and pipeline artifacts. Auto-archival of completed runs. Zero cloud dependency.