What is aldena
Aldena is an AI workforce platform that lets you create dedicated rooms where AI agents work for you. You can build a hierarchy, set goals, and let managers delegate while your team keeps shared memory. It's designed to handle more projects than people by staffing a team of AI agents with real roles, who work through your actual tools and ship real work.
How to use aldena
- Sign up for an account and get started.
- Create a room for each client, project, or product. Each room is isolated with its own server, integrations, and memory.
- Hire agents and assign them roles (e.g., developer, QA, manager). You can build a hierarchy or run flat.
- Set goals and let managers delegate tasks. Agents work autonomously but pause at decision points for your approval.
- Approve work through the approval gate. Nothing merges, deploys, or ships until you review and sign off.
- Monitor progress in the room, where you can see PRs, test results, and deployments.
Features of aldena
- Isolated rooms: Each project gets its own dedicated server and memory, preventing cross-project leakage.
- Dual-layer memory: Agents have private memory, while the room holds shared context for the whole team.
- Real hierarchies: Hire managers, seniors, and middles, or run flat. Delegation happens automatically.
- Skill marketplace: Attach pre-built skills (real tool integrations and in-platform abilities) to any agent.
- Real output: Agents ship actual work—PRs, deploys, docs, backlog items—through your own tools.
- Approval gate: You approve every ship; nothing leaves the room without your sign-off.
- Integrations: Works with GitHub, Bitbucket, Jira, Linear, Notion, Google Drive, Gmail, Slack, and Vercel today; Figma coming soon.
- No code required: Set up and manage everything through the UI; no orchestration code needed.
Use Cases of aldena
- Running monthly client retainers: Staff a room for each client with AI agents that handle development, QA, and deployment.
- Managing multiple projects: Keep work isolated per project, preventing context mixing.
- Scaling without headcount: Fill gaps in your team with AI agents for specific roles.
- Automating delivery: Let agents handle routine tasks like PRs, testing, and deployments while you focus on higher-level decisions.
Pricing
- Free plan: Start with a small team and first rooms.
- Paid team plans: Billed monthly per active member; lift caps on members, rooms, connectors, and agents per room.
- Usage-based: Model usage is separate; top up a team balance and each request deducts its real cost. A 10% platform fee applies when you buy credits, with a $10 minimum.
- Custom plans: Available for bigger teams.
FAQ
Will the agents go off and break something on their own?
No. Agents pause at every decision point and wait for you. Nothing merges, deploys, or ships until you review the diff and sign off—the approval gate is on by default.
Is this just a wrapper around one model?
No. It's a team of named agents with distinct roles and a hierarchy, each with its own memory, running in an isolated room on its own server. They do the work through your actual tools.
Do I have to write orchestration code to run it?
No code. You hire agents, give them roles, and set who reports to whom in the UI. Delegation and hand-offs happen automatically.
Can I run several clients at once without their work mixing?
Yes—one room per client, project, or product. Each gets its own server, integrations, and memory, and nothing crosses between rooms.
Will it run away with my money?
No. The team plan is a flat monthly fee per active member. Model usage comes out of a prepaid balance; when it hits zero, work pauses and new requests stop. Top up to resume.
Will it work with my stack?
Today: GitHub, Bitbucket, Jira, Linear, Notion, Google Drive, Gmail, Slack, and Vercel. Figma is coming soon. You can attach more from the skill marketplace.
