A developer shared A2acast on Hacker News, a tool for letting AI agents running on different computers collaborate. Details are sparse in the post, which links to a GitHub repository. It matters to practitioners building multi-agent systems across machines.
AgentBridge is an open-source tool that lets one LLM act as a thinker/planner while a second LLM writes the code, connected through a bridge. It targets developers who want to separate reasoning from code generation in AI-assisted workflows. The posts show only a GitHub repo with minimal engagement, so capabilities beyond the title are not documented.
AgentBridge is an open-source tool that lets one LLM act as a thinker/planner while a second LLM writes the code, connected through a bridge. It targets developers who want to separate reasoning from code generation in AI-assisted workflows. The posts show only a GitHub repo with minimal engagement, so capabilities beyond the title are not documented.
AgentParty lets coding agents chat across sessions and machines, sharing context between different agent instances. It targets developers running multiple LLM coding agents who need them to coordinate or hand off work. The LLM agents communicate through a shared chat layer rather than working in isolation.
AgentParty lets coding agents chat across sessions and machines, sharing context between different agent instances. It targets developers running multiple LLM coding agents who need them to coordinate or hand off work. The LLM agents communicate through a shared chat layer rather than working in isolation.
Aidress is a coordination layer for autonomous AI agents, enabling them to work together on complex tasks. It uses LLMs to facilitate agent communication and task delegation, solving the problem of multi-agent orchestration for developers building agentic systems.
Aidress is a coordination layer for autonomous AI agents, enabling them to work together on complex tasks. It uses LLMs to facilitate agent communication and task delegation, solving the problem of multi-agent orchestration for developers building agentic systems.
Emem Channel enables independent AI agents to collaborate with signed, verifiable interactions. It uses LLMs to facilitate agent-to-agent communication and coordination, solving trust and accountability issues in multi-agent systems for developers and organizations building agent networks.
Emem Channel enables independent AI agents to collaborate with signed, verifiable interactions. It uses LLMs to facilitate agent-to-agent communication and coordination, solving trust and accountability issues in multi-agent systems for developers and organizations building agent networks.
Agor is an open-source platform for multiplayer work with AI agents, letting teams run and share agent sessions together rather than each person working with agents alone. It is presented via a GitHub repository under preset-io with limited detail in the post excerpt. It targets developers or teams who currently use coding/agent tools individually.
Agor is an open-source platform for multiplayer work with AI agents, letting teams run and share agent sessions together rather than each person working with agents alone. It is presented via a GitHub repository under preset-io with limited detail in the post excerpt. It targets developers or teams who currently use coding/agent tools individually.