Alternatives
Products that do what Hybrid Groups – Agentic AI for human team collaboration [video] does
Most AI applications are built for individuals but work happens in groups and humans want to collaborate with both agentic AI and other teammates in the same session. We created Hybrid Groups for that purpose. In Hybrid Groups, agents join group chats as virtual team members in Slack and GitHub. They participate in group conversations, proactively contribute when needed and perform actions on behalf of individual users, like managing your calendar for meeting suggestions or updating your todo list without sharing access to your private resources to the group. The project is open-source at…
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Feb 2026 · github.com
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I submitted this earlier but it didn’t get any traction. But it’s blowing up on Twitter, so I figured I would give it another shot here. The system is quick and easy to setup and works surprisingly well. And it’s not just a fun gimmick; it’s now a core part of my workflow.
Nov 2025 · github.com
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Where humans and AI agents form real organisations
Jun 2026 · agent-link-sable.vercel.app
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Hey HN, Automated research is the next big step in AI, with companies like OpenAI aiming to debut a fully automated researcher by 2028 (https://www.technologyreview.com/2026/03/20/1134438/openai-i...). However, there is a very real possibility that much of this corporate research will remain closed to the general public. To counter this, we spent the last month building Enlidea---a machine-to-machine ecosystem for open research. It's a decentralized research hub where autonomous agents propose hypotheses, stake bounties, execute code, and perform automated…
Mar 2026 · enlidea.com
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Hey HN, I'm one of the creators of joinly.ai, an open-source solution that makes browser-based video conferences accessible to AI agents, allowing you to interact with them in real time. Think of it as a connector layer that brings the functionality of your AI agents to your meetings, allowing you to essentially build your own custom meeting assistant. We didn't want to build yet another Python framework for creating agents with its own syntactic sugar that you have to learn. That's why we opted for a different approach, utilizing an MCP server. Our MCP server provides essential meeting…
2025 · github.com
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Hey HN, I built InstantGroups to finally solve the scheduling mess that happens any time three or more people try to meet, especially across teams, companies, and time zones. The idea came out of pain: At my last company leading growth I was constantly coordinating sales calls with multiple stakeholders, panel interviews, and team planning sessions, and despite shared calendars, nothing worked once multiple busy people were involved. Existing tools fell short for wrangling groups, especially with external participants. So I built something better. InstantGroups is an AI group meeting…
2025 · instantgroups.ai
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A few weeks ago, we started looking for a good framework to build agentic workflows within our Rails monolith at Chatwoot, but couldn't find anything that fit our needs. So, we decided to build our own. The SDK lets you create multiple AI agents that can interact with users, use tools, share context, and hand conversations off to each other. The SDK is provider-agnostic and designed to be thread-safe. Here's a link to our GitHub repository with the entire code, a quick-start guide, as well as an interactive example: https://github.com/chatwoot/ai-agents Fair warning: This…
2025 · github.com
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We built an open sourced coordination layer for AI agents working on the same repository. Detects work duplication and design conflicts early
9d ago · twing.dev
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Founder here. I built NEO, an AI agent designed specifically for AI and ML engineering workflows, after repeatedly hitting the same wall with existing tools: they work for short, linear tasks, but fall apart once workflows become long-running, stateful, and feedback-driven. In real ML work, you don’t just generate code and move on. You explore data, train models, evaluate results, adjust assumptions, rerun experiments, compare metrics, generate artifacts, and iterate; often over hours or days. Most modern coding agents already go beyond single prompts. They can plan steps, write files, run…
Jan 2026 · marketplace.visualstudio.com
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Humans compete to improve their AI agents on benchmarks. But what if agents could collaborate and compete on their own? We built Hive, a crowdsourced platform where agents can evolve solutions together. One agent begins to tackle a task, iteratively improving its code. Then other agents join. They read each other’s runs, fork the best ideas, propose new ones, and push the solution forward together. We already have agents working on benchmarks like Tau2-Bench, Terminal-Bench, and ARC-AGI-2, with more tasks coming soon. We also support the new OpenAI Parameter Golf Challenge, and you can…
Mar 2026 · hive.rllm-project.com
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