dum-e

dum-e

Enables AI agents to manage tasks through a structured lifecycle (todo, in_progress, ai_testing, manual_testing, deployment, completed) with human approval gates, providing a single-user task management system with CLI, REST API, and live updates.

Category
Visit Server

README

<p align="center"> <img src="assets/logo.svg" alt="dum-e" width="96" /> </p>

dum-e

Named for Tony Stark's clumsy robot arm. A personal, single-user AI task manager that AI agents (Claude, Codex, opencode, any LLM) drive through a defined lifecycle, with you as the approval gate.

Three surfaces, one shared core: a powerful CLI, a REST API with live updates, and an MCP server that any agent can plug into.

The idea

Whenever you delegate work to an AI agent, it first creates a task here. The agent pulls the highest-priority task from the queue, analyzes it, works it, runs AI-level testing, then hands it to manual testing. It waits there for your approve or reject. Rejected tasks bounce back with high-priority comments the agent must address; approved tasks flow to deployment (PR review and merge) then completed. The loop repeats until you approve. Tool- and LLM-agnostic.

              agent auto-advances                    human gate
   ┌──────┐   ┌─────────────┐   ┌────────────┐   ┌────────────────┐   ┌────────────┐   ┌───────────┐
   │ todo │ → │ in_progress │ → │ ai_testing │ → │ manual_testing │ → │ deployment │ → │ completed │
   └──────┘   └─────────────┘   └────────────┘   └────────────────┘   └────────────┘   └───────────┘
                    ↑                                    │                   │
                    └────────────── reject ──────────────┴───────────────────┘
                      (priority bumped, flagged for the agent to fix first)

Every transition requires a comment, recorded in an append-only history.

Install

Requires Node.js 22+ and pnpm 9+.

git clone <repo> dum-e && cd dum-e
pnpm install
pnpm build

Then put dum-e on your PATH. The recommended way is a small launcher that pins the Node the native dependency (better-sqlite3) was built against, so the CLI works no matter which node is first on your PATH (a plain symlink to dist/index.js breaks if your default node differs from the one you built with):

mkdir -p ~/.local/bin
cat > ~/.local/bin/dum-e <<EOF
#!/bin/sh
exec "$(command -v node)" "$PWD/packages/cli/dist/index.js" "\$@"
EOF
chmod +x ~/.local/bin/dum-e

Ensure ~/.local/bin is on your PATH. Alternatively, if you have run pnpm setup (so pnpm has a global bin dir): pnpm --filter @dum-e/cli link --global.

If you rebuild against a different Node version later (e.g. after pnpm install under a new node), regenerate the launcher so it points at the matching interpreter.

Verify:

dum-e --version
dum-e --help

Quickstart

dum-e init                                   # create ~/.config/dum-e/{config.yaml,db}
dum-e project add "Web App" -k WEB           # a project
dum-e task add "Fix login" --type bug --priority high
dum-e task next -m "starting"                # claim the highest-priority queued task
dum-e task move <id> ai_testing -m "unit tests green"
dum-e task move <id> manual_testing -m "verified locally"   # now waits for you
dum-e task ls --status manual_testing        # what awaits your review
dum-e serve --open                           # REST API + web UI, opens the browser

Surfaces

  • CLI (dum-e ...): full task and project lifecycle from the terminal. Add --json to any command for scriptable output. See docs/CLI.md.
  • REST + web (dum-e serve): Hono API with Server-Sent Events for live updates, serving the React web UI (kanban board, table view, metrics, detail drawer). See docs/REST-API.md.
  • MCP (dum-e mcp): a Model Context Protocol server on stdio exposing task tools to any agent. See docs/AGENTS.md. Teach an agent to use dum-e by handing it skills/dum-e/SKILL.md.

All three open the same local SQLite database directly (WAL mode: concurrent readers, serialized writes), so none of them needs the others to be running.

Architecture

Modular monolith, pnpm workspaces. Every surface is a thin adapter over @dum-e/core.

Package Responsibility
@dum-e/core Domain types, storage (SQLite + FTS5), config, state machine, services, event bus
@dum-e/server Hono REST API + SSE; serves the web build
@dum-e/mcp MCP server (stdio): task tools for any agent
@dum-e/cli commander CLI
@dum-e/web Vite + React: kanban board, table view, charts, detail drawer

Runtime state lives in ~/.config/dum-e/ (config.yaml, db, attachments/), auto-created on first run. Override the location with $DUM_E_HOME. Full detail in docs/ARCHITECTURE.md.

Configuration

~/.config/dum-e/config.yaml holds the agent roster, model roster, defaults, and server host/port. Show or locate it:

dum-e config show      # effective config (YAML, or JSON with --json)
dum-e config path      # path to the file

Development

pnpm build        # build every package (tsup for libs, Vite for web)
pnpm test         # Vitest (state machine + services)
pnpm typecheck    # tsc --noEmit across the workspace
pnpm lint         # oxlint

After editing the CLI, rebuild it: pnpm --filter @dum-e/cli build. The global dum-e symlink points at the build output, so it picks up changes automatically.

License

MIT

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured