Platform - sameernagar-hub/regen-engine GitHub Wiki

Platform

The engine is CLI-first, and the platform puts typed interfaces on top of the same event log: a REST API for apps, a live web view for people and an MCP server for agents.

Stack

Layer Tech
API FastAPI + Pydantic (apps/api), SSE for live events
Web Next.js + React + TypeScript (apps/web), typed client generated from the OpenAPI schema
Store events.jsonl (source of truth), optional Postgres mirror (REGEN_DATABASE_URL)
Agents MCP server over stdio (python -m engine mcp, .mcp.json)
Public face anonymized replay (engine site) on GitHub Pages and a Render web service

REST API (apps/api)

Endpoint Returns
GET /api/health liveness
GET /api/snapshot counts: verified total/today, waiting on you, boards, outcomes
GET /api/events · GET /api/stream raw events · server-sent live stream
GET /api/applications latest state per application
GET /api/human the human queue: exactly what only you can do
GET /api/outcomes · GET /api/drafts classified replies · drafted answers for review
GET /api/graph knowledge-graph neighborhood
GET /api/stations per-stage (listen, judge, write, apply, hear back) live state for the engine room
GET /api/job?u= one job's full timeline: facts, coverage, ATS score, Q&A, proof
GET /api/proof/{name} a proof screenshot
GET /api/narration plain-language narration of recent activity
POST /api/answers answer a human-queue question from the page (opt-in REGEN_API_WRITE=1, localhost only)

REGEN_MODE=public serves only the anonymized feed (company names hidden), which is how the public demo runs.

Web app (apps/web)

Route What you see
/ live view: work flowing through the five stages, a gold bead per verified application, grouped by lane
/graph layered, expanding memory graph
/room the engine room: five live rooms (SSE)
/room/[stage] one room's live log, with doors to the linked rooms
/job?u= the end-to-end timeline of one application

MCP server (engine/connectors/mcp_server.py)

Read tools: proof-backed status, applications (by status), human_queue, outcomes, graph lookup, queue search, pipeline_status. Write tools behind REGEN_MCP_WRITE=1: pipeline_run (start the whole pipeline in the background) and submit_codes (deliver email codes). Any MCP client can ask "what's waiting on me?" or "start a run".

Deploy

  • Local: python -m engine live (read-only page) or API + web via .claude/launch.json.
  • Public: engine site builds the anonymized replay; GitHub Pages and Render serve it. The engine never schedules itself; the public feed updates when you publish.

Related: Architecture · Outcomes and learning · Configuration