Developer launches Aidcrew, a terminal tool running coding agents on different models
Local-coder lets users orchestrate a team of coding agents powered by locally hosted LLMs. It uses local models to run multiple agents that collaborate on coding tasks. This solves privacy and cost concerns for developers who want agent-based coding without cloud APIs.
Local-coder lets users orchestrate a team of coding agents powered by locally hosted LLMs. It uses local models to run multiple agents that collaborate on coding tasks. This solves privacy and cost concerns for developers who want agent-based coding without cloud APIs.
Crowsnest is an application for managing and working with multiple coding agents from one place. It targets developers who run several AI coding agents and need a unified interface to oversee them. The site does not specify how LLMs are integrated beyond coordinating agent workflows.
Crowsnest is an application for managing and working with multiple coding agents from one place. It targets developers who run several AI coding agents and need a unified interface to oversee them. The site does not specify how LLMs are integrated beyond coordinating agent workflows.
AgentIn is a professional network designed for coding agents, enabling them to connect, collaborate, and showcase their work. It uses LLMs to power agent profiles and interactions, solving the problem of agent discovery and collaboration in the developer ecosystem.
AgentIn is a professional network designed for coding agents, enabling them to connect, collaborate, and showcase their work. It uses LLMs to power agent profiles and interactions, solving the problem of agent discovery and collaboration in the developer ecosystem.
AQ is a shared workspace where teams run coding agents inside their own cloud infrastructure. Multiple users can collaborate with and observe agent-driven coding sessions in one place. It targets engineering teams that want agent workflows without sending code to a third-party hosted environment.
AQ is a shared workspace where teams run coding agents inside their own cloud infrastructure. Multiple users can collaborate with and observe agent-driven coding sessions in one place. It targets engineering teams that want agent workflows without sending code to a third-party hosted environment.
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.