Coding
PromptBeginner5 minmarkdown
Kill all idle agents
for (aSlave in hudson.model.Hudson.instance.slaves) {
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Coding
PromptBeginner5 minmarkdown
AGENTS.md - Macrograph Project Guide
Macrograph is a visual programming platform with node-based graph interfaces. Supports both desktop (single-project) and server (multi-project) environments with real-time event processing and type-safe ID management.
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Coding
PromptBeginner5 minmarkdown
Part II: Self-Evaluating Agents
Current multi-agent frameworks—including LangGraph, CrewAI, and AutoGen's MagenticOne—suffer from **architectural stagnation**. While agents coordinate within conversations, they cannot evolve between runs. Poor performance requires manual developer intervention, creating a scalability bottleneck.
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Coding
PromptBeginner5 minmarkdown
MineNPC-Task: Task Suite for Memory-Aware Minecraft Agents
generic skill
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Coding
PromptBeginner5 minmarkdown
cli/services/agents.js - Agent Management Service
Provides agent lifecycle management including enabling, disabling, and resolving agent configurations. Handles agent aliasing, run modes (isolated/global/devel), and workspace structure creation.
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Coding
PromptBeginner5 minmarkdown
import Admonition from "@theme/Admonition";
Agents are components that use reasoning to make decisions and take actions, designed to autonomously perform tasks or provide services with some degree of agency. LLM chains can only perform hardcoded sequences of actions, while agents use LLMs to reason through which actions to take, and in which
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Coding
PromptBeginner5 minmarkdown
Tracing Smolagents
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Coding
PromptBeginner5 minmarkdown
大型语言模型驱动的个性化网络代理
发布时间：2024年10月22日
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Coding
PromptBeginner5 minmarkdown
Agents.md
This document provides instructions for AI agents working on this codebase.
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Coding
PromptBeginner5 minmarkdown
AutoGPT: Automating Tasks with AI Agents
generic skill
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Coding
PromptBeginner5 minmarkdown
SWEPolyBench A multilanguage benchmark for repository level evaluation of coding
generic skill
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Coding
PromptBeginner5 minmarkdown
Development Guidelines
- **Code Quality**: Write clean, readable, and maintainable code. Use meaningful variable and function names.
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Coding
PromptBeginner5 minmarkdown
Tutorial: Using Agent Task Framework for Background Agent Instructions
The Agent Task Framework helps transform ambiguous user requests into clear, structured instructions that background agents can execute successfully. This tutorial shows practical examples from real project contexts.
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Coding
PromptBeginner5 minmarkdown
tools Directory
This directory contains supporting files for the Sideload skill.
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Coding
PromptBeginner5 minmarkdown
h2oGPT integration with LangChain Agents
Various agents from LangChain are included:
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Coding
PromptBeginner5 minmarkdown
AGENTS.md: Drasi CLI
This document provides a high-level overview of the Drasi Command Line Interface (CLI) project for coding agents. The CLI is a Go application built with the Cobra library, responsible for installing and managing Drasi environments and resources.
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Coding
PromptBeginner5 minmarkdown
Custom Agents Guide
Custom agents allow you to define specialized AI assistants with specific behaviors, tools, and prompts.
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Coding
PromptBeginner5 minmarkdown
Agents
generic skill
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Coding
PromptBeginner5 minmarkdown
Commands, Skills and Agents
generic skill
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Coding
PromptBeginner5 minmarkdown
SETUP_PARALLEL_AGENTS.md
**Claude Code: Please execute all steps below to set up parallel AI agents for the ZMF Production Dashboard**
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Coding
PromptBeginner5 minmarkdown
Virtual vs Non-Virtual Agents
There can be two types of Agents in Data Streams; Virtual and Non-Virtual Agents. When packaging an Agent using the Stream Integration Manager, it is important to specify if an Agent is Virtual by making sure that the _Virtual_ checkbox is correctly ticked.
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Coding
PromptBeginner5 minmarkdown
The is no unique solution but there are some approaches to build agents of increasing complexity. You could try to encode your knowledge, but that could be either too complex or you could be just not
generic skill
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Coding
PromptBeginner5 minmarkdown
PitWall A.I. — AI Agent System Technical Documentation
> **Autonomous Multi-Agent System for Real-Time Race Analytics and Strategy Optimization**
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Coding
PromptBeginner5 minmarkdown
Resume Finished Agents Feature
Implemented the ability to resume finished agents **and agents that hit errors** by sending them a message. Previously, when an agent finished or hit an error (like rate limits), it would completely stop and could not be resumed. Now, these agents wait for user messages and can continue their work.
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