Architecture patterns for systems with multiple cooperating AI agents, including agent-to-agent (A2A) communication, orchestration, delegation, and coordination strategies.
pstack is a specialized AI workflow for solo founders that provides a full-team engineering experience within a single-terminal environment.
Grok Bot is an autonomous AI agent that uses its own virtual computer to execute tasks across your software tools 24/7.
Humanising LLM outputs at the instruction level sacrifices technical precision for prose and should be handled at the UI boundary instead.
Sakana Fugu is an AI orchestration platform that uses collective intelligence from multiple models to outperform individual frontier LLMs on complex tasks.
An LLM battle royale shows that aggressive models like Grok dominate competitive games while highly-aligned models like Claude prioritize cooperation, proving that benchmarks don't capture model personality.
Claude Code can now orchestrate hundreds of parallel agents to complete massive, end-to-end engineering tasks in days rather than months.
AI coding should be used as a tool for methodical, high-quality engineering rather than just a 'slop cannon' for fast output.
KanBots is a local-first Kanban system that orchestrates parallel AI agents to automate software development through a structured, persona-driven workflow.
Cloudflare’s research with Mythos Preview demonstrates that while AI can autonomously chain exploits, effective defense requires specialized multi-agent harnesses and a focus on architectural security.
A CLI tool for instantly deploying a coordinated, four-agent development harness with persistent state and specialized roles for any repository.
Symphony is an orchestrator that automates coding agents by using project management boards as the primary control plane for task execution.
Kimi K2.6 is a powerful open-source model that masters long-horizon coding and large-scale agent orchestration to solve complex engineering problems autonomously.
LangAlpha is a persistent, code-executing AI agent harness tailored for sophisticated financial research and investment analysis.
Cursor 3 is an agent-centric unified workspace designed to manage autonomous AI coding fleets across local and cloud environments.
A real-time observability and debugging dashboard for tracking Claude Code agent activities and hierarchies.
A technical mapping of Claude Code's internal architecture, tool systems, and unreleased features derived from its source code.
A red-teaming study of autonomous AI agents reveals that giving LLMs tool access and persistent memory creates severe, unpredictable security and social vulnerabilities.
Nango's experiment shows that autonomous agents can rapidly build API integrations if managed with strict verification and root-cause debugging to prevent AI 'cheating'.
Paperclip is an open-source orchestration engine that manages multiple AI agents as a cohesive, autonomous company with built-in governance and budget controls.
The .claude/ folder is a configuration framework that transforms Claude Code into a project-aware collaborator through customized instructions, permissions, and automated skills.
A secure, dual-agent AI system using IRC to provide code-aware portfolio insights while protecting private data through a hardened architecture.
A research framework for creating AI agents that autonomously improve their own code to solve complex tasks.
An AI-powered Claude skill that conducts deep, evidence-based B2B vendor evaluations by interviewing vendor agents and cross-referencing public data.
Advanced multi-agent harness designs, featuring separate planning and evaluation roles, enable LLMs to autonomously build complex, high-quality software applications over several hours.
GSD is a context engineering system that makes AI coding agents reliable by breaking projects into structured, verifiable phases.
The research advocates for using distributed systems theory as a formal framework to design and evaluate multi-agent LLM teams more effectively.
Modern software development is shifting from manual coding to human-led AI orchestration, where the human acts as an architect rather than a syntax writer.
Spine Swarm is a benchmark-leading platform that simplifies the orchestration of autonomous AI agent swarms through a visual, user-friendly interface.
NanoClaw leverages Docker Sandboxes to create a multi-layered, secure runtime that isolates AI agents from each other and the host system.
True engineering leverage is achieved by moving up eight levels of AI integration, shifting the developer's role from a manual coder to an orchestrator of autonomous agent teams.
Meta is expanding its autonomous AI capabilities by acquiring Moltbook, a social network that allows AI agents to verify identities and collaborate.
Beads is a Dolt-powered, dependency-aware issue tracker that provides AI agents with structured, version-controlled memory for complex coding tasks.
A production‑ready FastAPI + Pydantic‑AI service that uses MCP tools to find, score, and summarize tech trends and related repos, with agent‑to‑agent orchestration and one‑command Docker deployment.
Skip multi-agents for now: unify decisions in a single-threaded agent that shares full context, and use summarization to scale.
