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Aldena

Staff a room of role-based AI agents per client project, with an approval gate on every ship

freemiumFree plan to get a small team into its first rooms. Paid team plans are billed monthly per active member and lift the caps on members, rooms, connectors per room, and agents per room; upgrades and new seats prorate immediately, downgrades land at the end of the cycle. Model usage is separate and paid from one prepaid team balance at provider list rates, with a 10% platform fee applied when buying credits. No per-tier dollar figures are published on the site.View full pricing →

About Aldena

Aldena is an agent platform built around the shape of client-services work rather than the shape of a chat window. You create a "room" per project or per client, then staff it with named agents that have real roles — a manager, seniors, middles — and arrange who reports to whom in the UI rather than writing orchestration code. Each room runs on its own dedicated server, so nothing leaks between clients, and memory is deliberately two-layered: every agent keeps private memory while the room holds shared context the whole team draws on. The defining design decision is the approval gate, which is on by default. Agents pause at every decision point and wait; nothing merges, deploys, or ships until a human reviews the diff and signs off, and work resumes from exactly where it paused. Output is real work through your existing tools — pull requests, deploys, docs, backlog items — with GitHub, Bitbucket, Jira, and Google Drive connected today and Slack, Figma, Vercel, and Linear listed as coming. A skill marketplace lets you attach pre-built tool integrations and in-platform abilities to any agent. Billing separates the platform from the models: a flat monthly fee per active member, plus one prepaid team balance that model usage deducts from at provider list rates. It is built by a two-person team, Aaron and Julia Delasy.

Key Features

One isolated room per client or project, each on its own dedicated server
Approval gate on by default — nothing merges or deploys without human sign-off
Dual-layer memory: private per-agent memory plus shared room context
Real hierarchies — hire a manager, then seniors and middles, or run flat
Skill marketplace for attaching tool integrations to any agent
Works through GitHub, Bitbucket, Jira, and Google Drive

Tags

ai agentsmulti-agentagenciesclient workapproval workflowgithub
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