@justloveabit: With This Open-Source Tool, I Got a Team of AIs to Work for Me. Here's the deal: I've been tinkering with various AI agents lately. Multiple Claude Code windows open, Codex running, occasionally using Cursor. The result? Total chaos—I had no idea what each agent was doing or how much it was costing. Restar…
Summary
This article introduces Paperclip, an open-source tool designed to centrally manage and orchestrate multiple AI agents. By simulating a corporate organizational structure, task assignment, and budget control, it addresses key pain points in multi-agent collaboration, such as lost context, unpredictable costs, and chaotic scheduling.
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@Xudong07452910: Open-source framework recommendation: Agency Agents — 232 professional AI agents, divided by function, covering 16 business departments. If you've used Claude Code or Codex, you may have encountered this problem: AI is very capable at coding tasks, but when it comes to front-end design, writing marketing...
Agency Agents is an open-source framework providing 232 professional AI agents covering 16 business departments. Each agent has a unique personality, communication style, and delivery standards. It supports multiple development tools such as Claude Code, GitHub Copilot, and has community-translated versions.
@Xudong07452910: Open-source Tool Recommendation: Hivemind — Give All AI Coding Agents a Shared Brain, Automatically Extract Skills from Real Trajectories Anyone using several AI Coding Agents has likely experienced this: each tool's learning is locked in its own context, switching tools means…
Hivemind is an open-source tool that allows multiple AI Coding Agents (e.g., Claude Code, Codex, Cursor) to share a memory layer, automatically mining high-quality patterns from usage trajectories and converting them into reusable skill files, enabling cross-tool and cross-team skill propagation, significantly reducing token consumption and interaction rounds.
@wsl8297: Found an AI programming management tool for teams on GitHub: Trellis. It solves the core pain point of multi-developer AI collaboration—inconsistent project information seen by each developer and AI tool. It takes the long system prompts that were stuffed into CLAUDE.md, AGENTS.md, or .cursorr…
Trellis is an AI programming management tool for teams. It solves the problem of inconsistent project information among AI tools in multi-developer collaboration by structuring spec, task, workflow, and journal. It supports managing multiple AI agents simultaneously and automatically synchronizing project memory.
@vintcessun: It turns out that having multiple AI agents work together as a team is better than a single general-purpose agent in this way: each role is bound to its best model, memory and skills accumulate across conversations. Instead of taking turns, a task is handed off with a brief handover note. Runs locally, all file states are in ~/.crew44, free MIT license.
Crew44 is a local-first orchestrator that turns coding agents like Claude Code and Codex into a coordinated team of specialists, each bound to its best model, with persistent memory and skill accumulation across sessions. It runs entirely on your machine with no cloud dependence and is free under MIT license.
@GitHub_Daily: Running multiple tasks with Claude Code and Codex, switching back and forth in the terminal to check results is really inefficient. Recently I found Orca, which centrally manages multiple AI coding agents, letting them work in parallel and aggregating results in one interface. The core feature is support for parallel workspaces, sending one requirement to multiple agents simultaneously…
Orca is a unified AI coding agent management tool with support for parallel workspaces. It can send tasks simultaneously to multiple AI assistants like Claude Code and Codex, each generating code in independent git branches, allowing comparison of results, and comes with a mobile app for real-time tracking.