Aldena aldena.ai

Can AI replace Aldena?

One room's worth of this is a weekend now that the agent loop ships as an SDK: five role-scoped agents in a Docker sandbox, a manager that hands work down, a prompt before anything destructive, a pull request at the end. What does not fall out of that weekend is the rest of it. A server per project that somebody else patches and meters, ten OAuth integrations that stay authorized, memory that survives the run, and a screen where the person paying for the work can watch it and approve it. Build the room. The building around the room is the subscription.

Verdict: Half-bot · AI gets you partway; the hard part stays hardBuild time: weekend to multi-day
Half-bot

01What it costs

$99/moStarter, monthly per active member, plus prepaid usage credits
$1,188per year at that price

Checked Aug 12, 2026 · source: aldena.ai. The free plan is the whole feature set at 2 members, 2 rooms, 5 agents per room and 3 connectors per room; model usage and server hours still come out of prepaid credits.

02Could AI build it for you?

The core job: Run several role-scoped agents against one Docker sandbox, let a manager agent hand work to the others and collect their replies, gate the dangerous tools behind an approval prompt, and end the run with a branch and a pull request.

What a working version needs:

  • Docker
  • Anthropic or OpenAI API key
  • GitHub CLI authenticated against the repo
  • Node.js 24

The interesting half is not the agents, it is the room: one sandbox per project, one set of credentials, one approval gate the client can read.

03What you'd give up

  • a machine per project that someone else provisions, patches and bills by the hour
  • connected GitHub, Bitbucket, Jira, Linear, Notion, Slack, Drive, Gmail, Sentry and Vercel, and the upkeep behind those tokens
  • memory that outlives the run, private per agent and shared per project
  • a screen a non-engineer can watch the run in and approve from
  • one prepaid balance metering every model and every server hour

The agents are the cheap part. People pay for the machine the work runs on, the credentials that are still valid on Monday, and a record of what was approved that they can show the client who is paying for it.

04Free and cheaper alternatives

OpenHandsopen-source

Agents that work in a container instead of on your laptop, with the UI, the CLI and the sandbox in the box. You supply the container host and the model bill.

openhands.dev →
gooseopen-source

A desktop agent that spawns subagents and drives your own tools through MCP. Vendor-neutral under the Linux Foundation, which is more than most of this field can say.

goose-docs.ai →
Clineopen-source

The approval gate as an editor extension: it plans, then asks before each edit and each command. One agent, your repo, your keys.

cline.bot →
Aideropen-source

A terminal agent that edits the repo and commits as it goes. No roster, no room, but the part that writes the code is free.

aider.chat →

05The build prompt

Paste this into an AI coding tool (such as Claude, ChatGPT, Lovable or Replit) to build your own version.

prompt.txt
Build me a local team of AI coding agents that ships pull requests, to replace Aldena. Requirements:

- A CLI plus a local web page: Node 24 + Express + better-sqlite3, server-rendered with
  a little vanilla JS. `agents run "add rate limiting"` starts a run and the page on
  localhost:7070 streams what every agent is doing.
- Agents are rows in SQLite: name, role, instructions, model. Seed five (manager, analyst,
  backend, frontend, reviewer) from a roles.json I can edit, each calling the Anthropic API
  with the key from .env.
- Only the manager takes my request. It hands work to at most 3 agents per turn and stops
  at depth 5. Every hand-off, reply and tool call is a row in SQLite so I can read a run
  back a week later.
- File edits and shell commands run inside one Docker container per project, mounting only
  that project's checkout. Never on my host, never two agents in the same container at once.
- A tools.json of allow / ask / deny per tool. On ask the run blocks and the web page shows
  the exact command with Approve and Reject buttons; on deny the tool is not in the schema
  the agent sees at all.
- Memory is two Markdown files loaded at the start of a run and appended to at the end:
  .agents/project.md that all of them read, .agents/NAME.md private to one agent. Cap each
  at 100 lines and make the agent delete a line before it writes a new one.
- A run ends with a branch, a commit and `gh pr create`. No agent gets the merge command,
  that stays mine.
- Out of scope: multi-user accounts, seat billing, and OAuth into Jira, Linear or Slack.
  Do not provision servers, the Docker container is the whole runtime.
- No accounts, no telemetry, everything on my machine except the model calls. Secrets in .env.
- Include a README with setup, where the SQLite file lives, and how to authenticate `gh`
  before the first run.

06Open-source starting points

Sponsor slot · openFeatured alternative to Aldena. A labeled card for one relevant tool.
Book this spot →

App prices, verdicts, alternatives and build prompts are adapted from Can I Vibecode It? (MIT License, © 2026 Rob Hallam). Each price shows the date it was checked and its source. Prices change; confirm on the vendor's site before you decide.