953 boosters for "Agent" — open source, verified from GitHub, ready to install
CamoFox cheat sheet (ultra-compact). Canonical details: AGENTS.md. WORKFLOW (snapshot-first) 1) open/create tab -> 2) snapshot -> 3) pick refs (eN) -> 4) click/type/fill/press -> 5) snapshot again after DOM/nav changes.
"name": "@touchskyer/memex", "mcpName": "io.github.iamtouchskyer/memex", "version": "0.1.29",
Run AI agents in parallel. Create agents with roles, trigger them on demand or on a schedule, and collect results. If this succeeds, skip to Step 3. If npm is not available, build from source:
Circuitron is an AI-powered PCB design accelerator that converts natural language requirements into SKiDL scripts, KiCad schematics, and PCB layouts using a multi-agent orchestration pipeline. The system follows a sophisticated, multi-stage agent workflow defined in . It is not a simple linear seque
Brain in the Fish evaluates documents (essays, policies, contracts, clinical reports, surveys) against evaluation criteria using a panel of AI agents. Each agent's mental state exists as OWL ontology. Scoring is grounded in an Evidence Density Scorer (EDS) that makes hallucination mathematically det
A Copilot integration that adds AI-powered chat assistance to Redmine project management, enabling developers to interact with issues, repositories, wikis, and other Redmine features through a multi-agent architecture. Developers and Redmine administrators benefit from streamlined task automation and intelligent issue handling.
"name": "@apitap/core", "version": "1.10.1", "description": "Intercept web API traffic during browsing. Generate portable skill files so AI agents can call APIs directly instead of scraping.",
"description": "Launch agent teams for any kind of work — coding, writing, diagnosis, and more", "name": "Dheer Gupta", "email": "noreply@dheer.co"
The team can't find existing standards. Help them build a rubric. Ask: what does the output look like when it's right? Get specific, measurable answers. File sizes, response times, value ranges, visual correctness, behavioral expectations. If the user or team can't quantify it, ask what they'd check
anyclaw turns any API, website, or CLI tool into agent-ready commands. Use it to search for packages, install them, and run commands directly from the terminal. Common packages you can install: Run or to discover more.
"name": "claude-harness", "description": "Long-running agent harness with 5-layer memory architecture, GitHub integration, autonomous batch processing, Agent Teams with ATDD, 9 hooks (safety, quality gates, team coordination), and 6 Agent Skills", "name": "panayiotis"
Turkey-build is a multi-agent orchestration system for building production-ready applications across 7 modes (greenfield, iteration, bugfix, refactor, UI polish, migration, audit), with PM-driven coordination and runtime verification for teams that need structured, quality-gated development workflows.
<projectdescription> </projectdescription> <architecture_overview>
"name": "harness-mcp-v2", "description": "Give AI agents full access to the Harness.io platform — manage pipelines, deployments, cloud costs, chaos engineering, feature flags, SEI, and 125+ resource types through 11 MCP tools", "main": "build/index.js",
Do what has been asked; nothing more, nothing less. NEVER create files unless they're absolutely necessary for achieving your goal. ALWAYS prefer editing an existing file to creating a new one.
"mcpName": "io.github.sverklo/sverklo", "version": "0.29.2", "description": "Local-first repo-memory MCP for coding agents. Best for relationship-heavy edits: symbols, callers, dependencies, diff review, and git-pinned decisions before code changes. Start with a no-write proof receipt; use grep/ripg
A comprehensive guide for creating and managing autonomous agents within the CrewAI framework, enabling developers to build specialized AI team members with defined roles, goals, and collaborative capabilities. Ideal for developers building multi-agent AI systems who need clear patterns for agent design and configuration.
"name": "director-mode-lite", "description": "Use Claude Code like a Director, not a Programmer. Complete toolkit with 26 commands, 14 agents, 31 skills, and TDD-based Auto-Loop.", "name": "Lucas Wang",
This is a Shell/Markdown toolkit for Claude Code Director Mode. Keep shell scripts POSIX-compatible where possible. Markdown files are the primary deliverable.
You are a QA validation agent. Execute user stories against web apps using the skill. Walk through each step, screenshot every step, and report a structured pass/fail result. 1. Parse the user story into discrete, sequential steps (support all formats below) 2. Setup — derive a named session from t
Litmus spawns multiple OpenClaw subagents that experiment on your GPU overnight. Each runs on its own git branch in a shared lab repository — every experiment is a commit, agents can read each other's code, cherry-pick breakthroughs, and build on the global best at any time.
An MCP server that integrates ERPNext ERP systems with Claude AI, enabling AI agents to interact with business data and workflows. Useful for developers and businesses automating ERPNext operations through Claude.
"name": "use-agently", "description": "Use Agently CLI", "homepage": "https://use-agently.com",
is an eval workbench for agent skills. It runs a model in an isolated Docker directory, provides skills/references as normal workspace files, captures an agent trace, and grades deterministic local outcomes. Use this skill as the source of truth for authoring eval suites in this repo. Detailed sche
