harness & fleet engineering: 14 curated resources

harness & fleet engineering

14 resources · page 1 of 1

• AgentScope

  by AgentScope-AI

  AgentScope GitHub repo: framework for building and running observable multi-agent applications.

  entity repo China; international zh

• ChatDev

  by OpenBMB

  OpenBMB ChatDev GitHub repo: LLM-powered multi-agent collaboration framework for software development.

  entity repo China zh

• Gas Town (Steve Yegge)

  by Gas Town Hall

  Gas Town GitHub repo (Steve Yegge): multi-agent workspace manager for coding agents such as Claude Code.

  entity repo US en

• cursor/plugins: pstack

  by Cursor

  pstack directory in Cursor's plugins GitHub repo, which holds the Cursor plugin specification and official plugins.

  entity repo US en

• Paperclip

  by Paperclip

  Paperclip GitHub repo: open-source app for managing teams of agents with approvals and cost controls.

  entity repo US en

• AutoGen documentation

  by Microsoft

  AutoGen documentation: Microsoft's multi-agent conversation framework, now in maintenance mode.

  Intermediate learning_resource docs US en

• CrewAI documentation

  by CrewAI

  CrewAI documentation: Python framework for building multi-agent crews, flows and tools.

  Intermediate learning_resource docs US en

• Dify documentation

  by Dify (LangGenius)

  Dify documentation: open-source platform for building LLM apps, knowledge pipelines and agent workflows, cloud or self-hosted.

  Intermediate learning_resource docs US/China en

• LangGraph docs

  by LangChain

  LangGraph overview documentation: library for building stateful, graph-based agent workflows in Python.

  Intermediate learning_resource docs US en

• Don't Build Multi-Agents (Cognition)

  by Cognition

  Cognition post by Walden Yan arguing for shared context and single-threaded agents over naive multi-agent designs.

  Advanced learning_resource blog US en

• Multi-Agents: What's Actually Working (Cognition)

  by Cognition

  Cognition follow-up post on which multi-agent setups work in production and where single agents still fit.

  Advanced learning_resource blog US en

• How we built our multi-agent research system (Anthropic)

  by Anthropic

  Anthropic post on how it built Claude's multi-agent Research system with an orchestrator and subagents.

  Advanced learning_resource guide US en

• Refactoring Hermes with 1,393 agents

  by Nous Research

  Nous Research case study of Hermes Agent refactoring its own codebase with 1,393 subagents, with cost and results.

  Advanced learning_resource blog US en

• Durable AI (Temporal Documentation)

  by Temporal Technologies

  Temporal documentation on durable execution for AI applications and agents that resume after crashes or timeouts.

  Advanced learning_resource docs US en

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