Features
Managed Postgres with pgvector extension
Row-level security (RLS) and auth service
Object storage with realtime subscriptions
RAG pipeline: extract, chunk, embed, index from PDFs, images, Office files, URLs
Built-in OCR with 91% accuracy (OlmOCR-Bench)
Hybrid search: BM25, pgvector, plus reranking with SOTA models
ReAct agent runtime with multi-LLM support and built-in tools
Custom HTTP/MCP tools for agents
Multi-agent orchestration and visual workflow builder
Natural-language copilot for workflow design
Streaming responses over SSE with retrieval events and token deltas
Per-project isolated stacks (no shared databases)
Pay-as-you-go with monthly credits that roll over
Bring your own LLM keys (OpenAI, Anthropic, Google, OpenRouter)
Agent skill for Claude Code, Codex, and other AI coding tools
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
