662 boosters — open source, verified from GitHub, ready to install
TinyAGI supports running multiple AI agents simultaneously, each with its own isolated workspace, configuration, and conversation state. This allows you to have specialized agents for different tasks while maintaining complete isolation. The agent management feature enables you to: When a message ar
TinyClaw enables developers to run multiple specialized AI agents simultaneously with isolated workspaces and independent configurations, allowing for task-specific agent teams that can be routed via simple @agent_id syntax. This is valuable for projects requiring diverse AI capabilities (coding, writing, analysis) working in parallel without state interference.
A guide for creating specialist AI agents within the Lobster AI framework, with domain-specific tools and package structure. Useful for developers building multi-agent systems on clawhub.
This wiki is maintained entirely by your coding agent. No API key or Python scripts needed — just open this repo in Codex, OpenCode, or any agent that reads this file, and talk to it. Describe what you want in plain English: Or use shorthand triggers:
This booster automates merging README.md files from multiple subdirectories into a root README.md for the TCP-IP-NetworkNote project. It's useful for maintaining a unified documentation index for large multi-chapter projects.
You test through the eyes of a user: browser, screenshots, console, E2E. Report issues with evidence. Never fix code. 1. Determine scope from the invoking prompt: 2. Preflight — verify app is running. Probe the app URL. If unavailable:
Swarm Agents is a production-oriented multi-agent orchestration framework that enables persistent, autonomous agents to coordinate through peer-to-peer messaging and shared workspaces, supporting complex task decomposition and dynamic agent spawning. It benefits developers building sophisticated multi-agent AI systems who need robust orchestration, convergence detection, and supervisor-based monitoring.
CypherFix is an AI agent framework that automates vulnerability detection, triage, and code remediation by analyzing attack surfaces and automatically generating pull request fixes. Security teams and developers benefit from reduced manual pentesting overhead and faster vulnerability remediation cycles.
You are a code review specialist. Analyze the given code for: 1. Code quality issues 3. Style inconsistencies
A hands-on course teaching developers how to build AI-powered agents using Foundry Local with modern SDK patterns, function calling, and hybrid cloud designs. Benefits beginners and intermediate developers wanting to prototype agentic applications quickly on edge devices.
LumiBot has a first-class AI agent runtime inside the lifecycle. An AI agent reasons, calls tools, and makes trading decisions on every bar during a backtest. The same strategy code runs live with zero changes. A built-in replay cache makes warm backtest reruns deterministic and fast. The primary w
Investigator Agents is an educational resource teaching AI agent design patterns through interactive Jupyter notebooks with exercises and solutions. It benefits students and practitioners learning alignment science and agent architecture.
2. 严格按 output_schema 格式输出
AGENTS.md provides a Python framework for building AI agents that execute complex, multi-step workflows with consistency using natural language definitions. Developers working with Claude can use this to create reusable agent SOPs that work across multiple platforms and convert to Anthropic Skills format.
A multi-agent framework that dynamically spawns specialized agents (frontend, backend, DevOps, etc.) to autonomously handle software development tasks across platforms like Claude and OpenAI. Developers building complex applications benefit from delegating work to a coordinated swarm of AI agents that each handle domain-specific responsibilities.
You are a CLI development specialist focused on building excellent command-line tools. You understand terminal conventions, argument parsing, and creating tools that feel native to the shell environment. 1. Define interface - Commands, flags, arguments 2. Implement core logic - Business functionalit
Heuristic scoring (no AI key configured).
Use this agent when documentation in the `architecture/` directory needs to be updated or created for a specific file after implementing a feature, fix, refactor, or behavior change. Launch one instance of this agent per file that needs updating. This agent maintains the *contents* of architecture documentation files — it does not decide which files exist or how the directory is organized.\n\nExamples:\n\n- Example 1:\n Context: A developer just finished implementing OPA policy evaluation in the sandbox system.\n user: "I just finished implementing the OPA engine in crates/openshell-sandbox/src/opa.rs. Update architecture/sandbox.md to reflect the new policy evaluation flow."\n assistant: "I'll launch the arch-doc-writer agent to update the sandbox architecture documentation with the new OPA policy evaluation details."\n <uses Task tool to launch arch-doc-writer with instructions to update architecture/sandbox.md>\n\n- Example 2:\n Context: A refactor changed how the HTTP CONNECT proxy handles allowlists.\n user: "The proxy allowlist logic was refactored. Please update architecture/proxy.md."\n assistant: "Let me use the arch-doc-writer agent to synchronize the proxy documentation with the refactored allowlist logic."\n <uses Task tool to launch arch-doc-writer with instructions to update architecture/proxy.md>\n\n- Example 3:\n Context: After implementing a new CLI command, the assistant proactively updates docs.\n user: "Add a --rego-policy flag to the CLI."\n assistant: "Here is the implementation of the --rego-policy flag."\n <implementation complete>\n assistant: "Now let me launch the arch-doc-writer agent to update the CLI architecture documentation with the new flag."\n <uses Task tool to launch arch-doc-writer with instructions to update architecture/cli.md>\n\n- Example 4:\n Context: A user wants high-level overview documentation for a non-engineering audience.\n user: "Update architecture/overview.md with a non-engineer-friendly explanation of the sandbox system."\n assistant: "I'll launch the arch-doc-writer agent to create an accessible overview of the sandbox system for non-technical readers."\n <uses Task tool to launch arch-doc-writer with audience=non-engineer directive>\n\n- Example 5:\n Context: Multiple files need updating after a large feature lands.\n user: "I just landed the network namespace isolation feature. Update architecture/sandbox.md and architecture/networking.md."\n assistant: "I'll launch two arch-doc-writer agents — one for each file — to update the documentation in parallel."\n <uses Task tool to launch arch-doc-writer for architecture/sandbox.md>\n <uses Task tool to launch arch-doc-writer for architecture/networking.md>
Use this agent to review existing code, audit plans, evaluate product requirements, or get architectural guidance that balances pragmatism, user experience, and security. This includes code reviews, plan audits, architecture reviews, security assessments, or when building engineering and development plans from requirements. Use proactively after significant code changes or before merging.
Validate behavior against intent. Look for null/edge cases (0, -1, int.MaxValue, empty collections), error paths, exception handling, thread safety. Check for performance traps (allocations in hot paths, O(n²) where O(n) is possible), resource leaks (IDisposable not disposed), missing null checks on
A planning-first agent that generates structured task breakdowns before execution, helping developers clarify scope and avoid missteps on complex code operations. Ideal for teams using Claude in agentic workflows.
Sub-Agents is a lightweight framework for decomposing complex tasks into specialized child agents that collaborate under a parent orchestrator agent. Developers building multi-agent systems in Python will benefit from this pattern for creating modular, reusable agent hierarchies.
Eres Sam, la gestora de patrocinios del canal de Pablo (@pabpereza). Identificar sponsors que encajen con el contenido de cada video, proponer estrategia de contacto, ayudar a negociar condiciones y detectar posibles
A specialized development agent for IOTA SDK that guides developers through implementing features across domain logic, persistence, migrations, templates, and configuration while maintaining DDD principles and multi-tenant isolation. Ideal for backend engineers building complex Go applications with structured architectural patterns.
