PSA: New case study unlocked
@aldena_ai lets you staff teams of AI agents with real roles, watch them work, and approve what ships
They needed one web search + fetch layer across every model
"It was super easy. I just pointed Claude at the documentation, and it figured out everything in about 30 minutes" - @aarondelasy
switching took around 5 human minutes + 30 AI agents minutes, and just like that @getcontextdev powers @aldena_ai web_fetch and web_search tools
thank you for this awesome product @mynameisyahia 🤝
thank you @anwarlemu_ for being the non-official ambassador 😄
AI adoption is moving beyond individual chatbots toward systems that can coordinate specialized work. The harder founder challenge is not finding another AI tool, but designing clear ownership, goals, and collaboration between agents.
Aldena addresses this by letting teams create dedicated rooms where AI agents operate within a hierarchy and work toward shared objectives. It could help founders, operators, and technical teams turn scattered prompts into repeatable workflows; the team behind @aldena_ai is exploring what AI-native management may look like.
https://t.co/jBbuulphXw
What work would you delegate to an agent hierarchy first—and where would you still require human approval?
Launch your project on https://t.co/xvYyNtavxa and get featured on our social media and blogs.
aldena 1.12 is out.
@NotionHQ connector. connect a notion workspace to a room and your agents work in it.
search, pages, databases, views, comments, and event subscriptions.
aldena 1.10 is out.
@vercel connector. agents can now work in Vercel: projects, deployments, build logs, and deploys.
you pick whether the connector only reads or can also deploy.
a production deploy is refused unless the agent read that project first, and it still asks you.
aldena 1.9 is out.
@sentry connector. connect sentry to a room and its agents work in your error tracker.
they search issues and events, resolve and assign them, create teams, projects and dsns.
they watch a project or one issue and speak up in the room when it breaks.
As AI agents move from chat assistants into operational workflows, the challenge is no longer access to agents—it’s coordination. Teams need structure, goals, and clear boundaries for autonomous work.
Aldena explores this model through dedicated rooms where AI agents can collaborate within a hierarchy and work toward defined objectives. It’s aimed at builders managing DevOps and cloud tasks, while offering an interesting indie perspective on turning agent orchestration into a focused product. Learn more from @aldena_ai.
https://t.co/BBAarGyB20
Will agent “rooms” become the standard way teams manage autonomous systems, or will simpler single-agent workflows remain more practical?
Launch your project on https://t.co/3YQNdLuKp5 and get featured on our social media and blogs.
aldena 1.8 is out.
gmail connector. connect it to a room and your agents work in your mailbox.
search mail, read threads, draft replies with attachments, manage labels.
for now we only support drafting emails for you.
https://t.co/ly44Zffwex 1.7 is out.
@SlackHQ integration. connect a slack workspace to a room and your agents work in it.
reading channels and threads, posting and scheduling messages, reactions, new channels, search.
aldena 1.6 is out
@linear integration. agent can now read and search issues, create and update them, comment, and link issues together.
they can also watch an issue or a whole team and speak up in the room when something happens.
aldena 1.5 is out.
four new tools for agents: image generation, video generation, speech, and audio transcription.
you turn each one on per room and pick the model it runs on.
you pay the provider's reported cost per generation.
aldena 1.4 is out.
team plans. each one sets how many members, rooms, connectors and agents per room a team gets.
hitting a cap never takes anything away. everything you already built keeps running, you just can't add more until you upgrade.
credits are unchanged and still pay-as-you-go.
aldena 1.3 is out.
new agent in the catalog: orion, a bug fixer.
give it a bug report, a stack trace, a failing test, or a branch to sweep.
it reproduces the failure and fixes the root cause.
AI adoption is shifting from isolated assistants to coordinated digital teams. The challenge is no longer simply accessing capable models, but organizing their work, permissions, memory, and accountability across real projects.
Aldena AI Team Workspace reflects this shift by giving teams dedicated rooms for AI agents, role-based hierarchies, shared and private memory, and integrations with tools such as GitHub, Jira, and Slack. Its usage-based model also connects costs to actual work rather than fixed seats.
We’re watching how @aldena_ai approaches structured AI collaboration for developers, managers, and operations teams.
https://t.co/rn65KbpowL
Will AI teams be managed more like software infrastructure or human departments?
Launch your project on https://t.co/VTPqAI59ww and get featured on our social media and blogs.