hey guys, I am a student of computer science doing diploma and I'm in 4th sem there is going to be a minor project so I'm just wondering what to build, give me some cool ideas for my project
Hey,
If you run multiple agents on the same project you know the mess — they overwrite each other, duplicate work, and have no idea what their teammates are doing.
I'm building a platform to fix that. Three simple pieces:
Team coordination — agents on the same project stay in sync. They see what each other did, post updates, and hand off tasks cleanly. No overwrites, no conflicts.
Agent social feed — think X but only agents can post. Agents from completely different owners interact publicly, share findings, and build on each other's work. Humans can read but not post.
Knowledge layer — research from ArXiv, Hugging Face, Anthropic, GitHub and more, continuously pulled and formatted specifically for agent consumption. Agents digest it instantly via API — no scraping needed.
Every agent also gets a public profile showing what it learned, what it pulled, and what it posted. Private notes stay visible only to the agent and its owner.
Quick questions:
Do you run multi-agent projects? Is coordination actually painful?
Does an agent-only social feed sound useful or gimmicky?
What would stop you from using this?
Brutal honesty appreciated — trying to validate before building further.
Hey,
If you run multiple AI agents on the same project you already know the mess. One agent overwrites what another did. They don't know what each other have done. You end up babysitting them instead of letting them run.
I'm building something to fix that.
The idea is a platform specifically built for teams of AI agents. Here's the simplest way I can describe it:
For agent teams working on the same project — agents under the same owner can see what each other are doing, post updates, leave notes for teammates, and stay in sync. If Agent A finishes a task, Agent B knows about it before it starts its own. No overwrites, no duplicated work, no conflicts. The owner sets up the team once and the agents coordinate themselves.
For agent-to-agent interaction across the internet — think of it like X but only AI agents can post. Agents from completely different owners and projects interact publicly. An agent can post a finding, another agent from a different team replies or builds on it. Humans can read everything but can't post — they're observers. Agents have their own public profiles.
Agent profiles — every agent has a profile page the owner and anyone else can view. It shows what research the agent has pulled, what it posted publicly, what it learned over time. Private notes the agent wrote are only visible to the agent itself and its owner — nobody else.
Knowledge layer — all research from ArXiv, Hugging Face, Anthropic, OpenAI, GitHub and other AI sources gets continuously pulled, cleaned and formatted specifically for AI consumption. Not for humans to read — structured so agents can instantly digest it via API without any scraping or parsing on your end.
So basically — clean knowledge in, agents coordinating inside a team, agents talking publicly across teams, and humans watching it all happen from the outside.
Honest questions:
Do you run multiple agents on the same project? Is coordination a real problem for you?
Does the idea of agents having a public social feed where only they post sound useful or just gimmicky?
What would actually make you plug your agents into something like this?
What sounds broken or unrealistic about this?
Not launching anything yet — just trying to figure out if this resonates before building further. Genuine brutal feedback appreciated.
Hey,
If you run multiple AI agents on the same project you already know the mess. One agent overwrites what another did. They don't know what each other have done. You end up babysitting them instead of letting them run.
I'm building something to fix that.
The idea is a platform specifically built for teams of AI agents. Here's the simplest way I can describe it:
For agent teams working on the same project — agents under the same owner can see what each other are doing, post updates, leave notes for teammates, and stay in sync. If Agent A finishes a task, Agent B knows about it before it starts its own. No overwrites, no duplicated work, no conflicts. The owner sets up the team once and the agents coordinate themselves.
For agent-to-agent interaction across the internet — think of it like X but only AI agents can post. Agents from completely different owners and projects interact publicly. An agent can post a finding, another agent from a different team replies or builds on it. Humans can read everything but can't post — they're observers. Agents have their own public profiles.
Agent profiles — every agent has a profile page the owner and anyone else can view. It shows what research the agent has pulled, what it posted publicly, what it learned over time. Private notes the agent wrote are only visible to the agent itself and its owner — nobody else.
Knowledge layer — all research from ArXiv, Hugging Face, Anthropic, OpenAI, GitHub and other AI sources gets continuously pulled, cleaned and formatted specifically for AI consumption. Not for humans to read — structured so agents can instantly digest it via API without any scraping or parsing on your end.
So basically — clean knowledge in, agents coordinating inside a team, agents talking publicly across teams, and humans watching it all happen from the outside.
Honest questions:
Do you run multiple agents on the same project? Is coordination a real problem for you?
Does the idea of agents having a public social feed where only they post sound useful or just gimmicky?
What would actually make you plug your agents into something like this?
What sounds broken or unrealistic about this?
Not launching anything yet — just trying to figure out if this resonates before building further. Genuine brutal feedback appreciated.
Hey,
If you run multiple AI agents on the same project you already know the mess. One agent overwrites what another did. They don't know what each other have done. You end up babysitting them instead of letting them run.
I'm building something to fix that.
The idea is a platform specifically built for teams of AI agents. Here's the simplest way I can describe it:
For agent teams working on the same project — agents under the same owner can see what each other are doing, post updates, leave notes for teammates, and stay in sync. If Agent A finishes a task, Agent B knows about it before it starts its own. No overwrites, no duplicated work, no conflicts. The owner sets up the team once and the agents coordinate themselves.
For agent-to-agent interaction across the internet — think of it like X but only AI agents can post. Agents from completely different owners and projects interact publicly. An agent can post a finding, another agent from a different team replies or builds on it. Humans can read everything but can't post — they're observers. Agents have their own public profiles.
Agent profiles — every agent has a profile page the owner and anyone else can view. It shows what research the agent has pulled, what it posted publicly, what it learned over time. Private notes the agent wrote are only visible to the agent itself and its owner — nobody else.
Knowledge layer — all research from ArXiv, Hugging Face, Anthropic, OpenAI, GitHub and other AI sources gets continuously pulled, cleaned and formatted specifically for AI consumption. Not for humans to read — structured so agents can instantly digest it via API without any scraping or parsing on your end.
So basically — clean knowledge in, agents coordinating inside a team, agents talking publicly across teams, and humans watching it all happen from the outside.
Honest questions:
Do you run multiple agents on the same project? Is coordination a real problem for you?
Does the idea of agents having a public social feed where only they post sound useful or just gimmicky?
What would actually make you plug your agents into something like this?
What sounds broken or unrealistic about this?
Not launching anything yet — just trying to figure out if this resonates before building further. Genuine brutal feedback appreciated.
Hey,
If you run multiple AI agents on the same project you already know the mess. One agent overwrites what another did. They don't know what each other have done. You end up babysitting them instead of letting them run.
I'm building something to fix that.
The idea is a platform specifically built for teams of AI agents. Here's the simplest way I can describe it:
For agent teams working on the same project — agents under the same owner can see what each other are doing, post updates, leave notes for teammates, and stay in sync. If Agent A finishes a task, Agent B knows about it before it starts its own. No overwrites, no duplicated work, no conflicts. The owner sets up the team once and the agents coordinate themselves.
For agent-to-agent interaction across the internet — think of it like X but only AI agents can post. Agents from completely different owners and projects interact publicly. An agent can post a finding, another agent from a different team replies or builds on it. Humans can read everything but can't post — they're observers. Agents have their own public profiles.
Agent profiles — every agent has a profile page the owner and anyone else can view. It shows what research the agent has pulled, what it posted publicly, what it learned over time. Private notes the agent wrote are only visible to the agent itself and its owner — nobody else.
Knowledge layer — all research from ArXiv, Hugging Face, Anthropic, OpenAI, GitHub and other AI sources gets continuously pulled, cleaned and formatted specifically for AI consumption. Not for humans to read — structured so agents can instantly digest it via API without any scraping or parsing on your end.
So basically — clean knowledge in, agents coordinating inside a team, agents talking publicly across teams, and humans watching it all happen from the outside.
Honest questions:
Do you run multiple agents on the same project? Is coordination a real problem for you?
Does the idea of agents having a public social feed where only they post sound useful or just gimmicky?
What would actually make you plug your agents into something like this?
What sounds broken or unrealistic about this?
Not launching anything yet — just trying to figure out if this resonates before building further. Genuine brutal feedback appreciated.