How should 500-AI-Agents-Playbook be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this skill.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

Crawler Summary

500-AI-Agents-Playbook answer-first brief

500+ AI Agent Projects — The Complete Playbook. LangGraph, CrewAI, AutoGen, Agno, LlamaIndex. Production-ready agents, tutorials, and working implementations. <svg xmlns="http://www.w3.org/2000/svg" width="100%" height="340" viewBox="0 0 1200 340"> <defs> <linearGradient id="bg" x1="0" y1="0" x2="1" y2="1"> <stop offset="0%" stop-color="#0a0a1a"/> <stop offset="50%" stop-color="#0d1117"/> <stop offset="100%" stop-color="#0a0a2a"/> </linearGradient> <linearGradient id="neon1" x1="0" y1="0" x2="1" y2="1"> <stop offset="0%" stop-color="#00f5ff"/> <stop offset="100%" stop-colo Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.

Freshness

Last checked 10/9/2026

Best For

500-AI-Agents-Playbook is best for crewai, multi-agent workflows where OpenClaw compatibility matters.

Not Ideal For

Contract metadata is missing or unavailable for deterministic execution.

Evidence Sources Checked

editorial-content, GITHUB REPOS, runtime-metrics, public facts pack

Card Facts Snapshot Contract Trust

Agent DossierGITHUB REPOSSafety: 66/100

500-AI-Agents-Playbook

OpenClawself-declared

Public facts

Change events

Artifacts

Freshness

Oct 9, 2026

Verifiededitorial-contentNo verified compatibility signals

Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.

Trust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Oct 9, 2026

Vendor

Deb888

Artifacts

Benchmarks

Last release

Unpublished

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.

View Source

Setup snapshot

1
Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
2
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Evidence Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content

Vendor (1)

Vendor

Deb888

profilemedium

Observed Oct 9, 2026Source link Provenance

Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium

Observed Oct 9, 2026Source link Provenance

Security (1)

Handshake status

UNKNOWN

trustmedium

Observed unknownSource link Provenance

Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium

Observed Apr 15, 2026Source link Provenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Docs Update

Docs refreshed: Sign in to GitHub · GitHub

search_documentmedium

Fresh crawlable documentation was indexed for the official domain.

Observed Apr 15, 2026

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB REPOS

Extracted files

Examples

Snippets

Languages

python

Executable Examples

text

╔══════════════════════════════════════════════════════════════════╗
║  500+ AI AGENT PROJECTS ── THE COMPLETE REFERENCE                ║
║  Production-ready agents · Tutorials · Working implementations  ║
╚══════════════════════════════════════════════════════════════════╝

mermaid

%%{init: {'theme': 'base', 'themeVariables': { 'background': '#0d1117', 'primaryColor': '#00f5ff', 'primaryTextColor': '#fff', 'primaryBorderColor': '#00f5ff', 'lineColor': '#7b2ff7', 'secondaryColor': '#0d1117', 'tertiaryColor': '#0d1117'}}}%%
graph LR
    A["⚡ 500+ AI AGENTS"] --> B["🏗️ LangGraph"]
    A --> C["🤖 CrewAI"]
    A --> D["🧠 AutoGen"]
    A --> E["⚙️ Agno"]
    A --> F["📚 LlamaIndex"]
    B --> G["Stateful Graphs"]
    B --> H["RAG Pipelines"]
    C --> I["Role-based Teams"]
    C --> J["Biz Automation"]
    D --> K["Code Gen"]
    D --> L["Research"]
    E --> M["Rapid Prototyping"]
    E --> N["Single Agent"]
    F --> O["Enterprise RAG"]
    F --> P["Doc Q&A"]
    style A fill:#0a0a1a,stroke:#00f5ff,stroke-width:3px,color:#fff
    style B fill:#0a0a1a,stroke:#00f5ff,stroke-width:2px,color:#00f5ff
    style C fill:#0a0a1a,stroke:#7b2ff7,stroke-width:2px,color:#7b2ff7
    style D fill:#0a0a1a,stroke:#ff00aa,stroke-width:2px,color:#ff00aa
    style E fill:#0a0a1a,stroke:#00ff88,stroke-width:2px,color:#00ff88
    style F fill:#0a0a1a,stroke:#ff6600,stroke-width:2px,color:#ff6600

bash

# Clone the arsenal
git clone https://github.com/ashishpatel26/500-AI-Agents-Projects.git
cd 500-AI-Agents-Projects

# Deploy any agent in 60 seconds
cd agents/01-web-research-agent
pip install -r requirements.txt
cp .env.example .env    # <- inject your API key
python agent.py

mermaid

%%{init: {'theme': 'base', 'themeVariables': { 'background': '#0d1117', 'primaryColor': '#00f5ff', 'primaryTextColor': '#fff', 'primaryBorderColor': '#333', 'lineColor': '#7b2ff7', 'secondaryColor': '#0a0a1a', 'tertiaryColor': '#1a1a2e'}}}%%
graph TB
    subgraph YOU["→ YOUR OBJECTIVE ←"]
        direction LR
        X1["Run an agent NOW"] --> Y1["📂 agents/"]
        X2["Browse by framework"] --> Y2["↓ Framework Tables"]
        X3["Browse by industry"] --> Y3["↓ Industry Tables"]
        X4["Choose a framework"] --> Y4["📊 Comparison"]
        X5["Contribute an agent"] --> Y5["🤝 CONTRIBUTING.md"]
    end
    style YOU fill:#0a0a1a,stroke:#00f5ff,stroke-dasharray: 5 5,color:#00f5ff
    style Y1 fill:#1a1a3e,stroke:#00f5ff,color:#fff
    style Y2 fill:#1a1a3e,stroke:#7b2ff7,color:#fff
    style Y3 fill:#1a1a3e,stroke:#ff00aa,color:#fff
    style Y4 fill:#1a1a3e,stroke:#00ff88,color:#fff
    style Y5 fill:#1a1a3e,stroke:#ff6600,color:#fff

text

┌────────────┬──────────────────────────────────────┬──────────┬──────────────┬──────────┬──────────┐
│ FRAMEWORK  │  BEST FOR                            │ COMPLEX  │ MULTI-AGENT  │ STREAM   │ LOCAL LLM│
├────────────┼──────────────────────────────────────┼──────────┼──────────────┼──────────┼──────────┤
│ LangGraph  │  Stateful workflows, RAG, graphs     │ ███████  │ ✅           │ ✅       │ ✅       │
│ CrewAI     │  Role-based teams, biz automation    │ ████     │ ✅           │ ✅       │ ✅       │
│ AutoGen    │  Code generation, research           │ ███████  │ ✅           │ ✅       │ ✅       │
│ Agno       │  Lightweight, tool integration       │ ██       │ ✅           │ ✅       │ ✅       │
│ LlamaIndex │  Document Q&A, enterprise RAG        │ ████     │ ⚠️           │ ✅       │ ✅       │
└────────────┴──────────────────────────────────────┴──────────┴──────────────┴──────────┴──────────┘

mermaid

%%{init: {'theme': 'base', 'themeVariables': { 'background': '#0d1117', 'primaryColor': '#7b2ff7', 'primaryTextColor': '#fff', 'primaryBorderColor': '#7b2ff7', 'lineColor': '#7b2ff7', 'secondaryColor': '#0a0a1a'}}}%%
graph LR
    C["🧠 Manager Agent"] --> W1["📊 Marketing Strategist"]
    C --> W2["📧 Email Responder"]
    C --> W3["📈 Lead Scorer"]
    C --> W4["🗺️ Trip Planner"]
    C --> W5["📸 Instagram Poster"]
    C --> W6["🎬 Game Builder"]
    style C fill:#1a0a2e,stroke:#7b2ff7,stroke-width:3px,color:#7b2ff7

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB REPOS

Docs source

GITHUB REPOS

Editorial quality

ready

Full README

╔══════════════════════════════════════════════════════════════════╗
║  500+ AI AGENT PROJECTS ── THE COMPLETE REFERENCE                ║
║  Production-ready agents · Tutorials · Working implementations  ║
╚══════════════════════════════════════════════════════════════════╝

</div>

%%{init: {'theme': 'base', 'themeVariables': { 'background': '#0d1117', 'primaryColor': '#00f5ff', 'primaryTextColor': '#fff', 'primaryBorderColor': '#00f5ff', 'lineColor': '#7b2ff7', 'secondaryColor': '#0d1117', 'tertiaryColor': '#0d1117'}}}%%
graph LR
    A["⚡ 500+ AI AGENTS"] --> B["🏗️ LangGraph"]
    A --> C["🤖 CrewAI"]
    A --> D["🧠 AutoGen"]
    A --> E["⚙️ Agno"]
    A --> F["📚 LlamaIndex"]
    B --> G["Stateful Graphs"]
    B --> H["RAG Pipelines"]
    C --> I["Role-based Teams"]
    C --> J["Biz Automation"]
    D --> K["Code Gen"]
    D --> L["Research"]
    E --> M["Rapid Prototyping"]
    E --> N["Single Agent"]
    F --> O["Enterprise RAG"]
    F --> P["Doc Q&A"]
    style A fill:#0a0a1a,stroke:#00f5ff,stroke-width:3px,color:#fff
    style B fill:#0a0a1a,stroke:#00f5ff,stroke-width:2px,color:#00f5ff
    style C fill:#0a0a1a,stroke:#7b2ff7,stroke-width:2px,color:#7b2ff7
    style D fill:#0a0a1a,stroke:#ff00aa,stroke-width:2px,color:#ff00aa
    style E fill:#0a0a1a,stroke:#00ff88,stroke-width:2px,color:#00ff88
    style F fill:#0a0a1a,stroke:#ff6600,stroke-width:2px,color:#ff6600

⚡ QUICK START

# Clone the arsenal
git clone https://github.com/ashishpatel26/500-AI-Agents-Projects.git
cd 500-AI-Agents-Projects

# Deploy any agent in 60 seconds
cd agents/01-web-research-agent
pip install -r requirements.txt
cp .env.example .env    # <- inject your API key
python agent.py

Every agent is self-contained — requirements.txt + .env.example included. No monorepo setup. No config hell.

🧭 NAVIGATION MATRIX

%%{init: {'theme': 'base', 'themeVariables': { 'background': '#0d1117', 'primaryColor': '#00f5ff', 'primaryTextColor': '#fff', 'primaryBorderColor': '#333', 'lineColor': '#7b2ff7', 'secondaryColor': '#0a0a1a', 'tertiaryColor': '#1a1a2e'}}}%%
graph TB
    subgraph YOU["→ YOUR OBJECTIVE ←"]
        direction LR
        X1["Run an agent NOW"] --> Y1["📂 agents/"]
        X2["Browse by framework"] --> Y2["↓ Framework Tables"]
        X3["Browse by industry"] --> Y3["↓ Industry Tables"]
        X4["Choose a framework"] --> Y4["📊 Comparison"]
        X5["Contribute an agent"] --> Y5["🤝 CONTRIBUTING.md"]
    end
    style YOU fill:#0a0a1a,stroke:#00f5ff,stroke-dasharray: 5 5,color:#00f5ff
    style Y1 fill:#1a1a3e,stroke:#00f5ff,color:#fff
    style Y2 fill:#1a1a3e,stroke:#7b2ff7,color:#fff
    style Y3 fill:#1a1a3e,stroke:#ff00aa,color:#fff
    style Y4 fill:#1a1a3e,stroke:#00ff88,color:#fff
    style Y5 fill:#1a1a3e,stroke:#ff6600,color:#fff

🔬 FRAMEWORK COMPARISON

┌────────────┬──────────────────────────────────────┬──────────┬──────────────┬──────────┬──────────┐
│ FRAMEWORK  │  BEST FOR                            │ COMPLEX  │ MULTI-AGENT  │ STREAM   │ LOCAL LLM│
├────────────┼──────────────────────────────────────┼──────────┼──────────────┼──────────┼──────────┤
│ LangGraph  │  Stateful workflows, RAG, graphs     │ ███████  │ ✅           │ ✅       │ ✅       │
│ CrewAI     │  Role-based teams, biz automation    │ ████     │ ✅           │ ✅       │ ✅       │
│ AutoGen    │  Code generation, research           │ ███████  │ ✅           │ ✅       │ ✅       │
│ Agno       │  Lightweight, tool integration       │ ██       │ ✅           │ ✅       │ ✅       │
│ LlamaIndex │  Document Q&A, enterprise RAG        │ ████     │ ⚠️           │ ✅       │ ✅       │
└────────────┴──────────────────────────────────────┴──────────┴──────────────┴──────────┴──────────┘

→ Decision matrix:

New to agents? → Agno or CrewAI
Stateful graphs + RAG → LangGraph
Code-writing / research bots → AutoGen
Enterprise document pipelines → LlamaIndex

🏭 INDUSTRY USE CASES

| AGENT | INDUSTRY | SIGNAL | REPOSITORY | |-------|----------|--------|------------| | HIA (Health Insights Agent) | Healthcare | Analyzes medical reports | | | AI Health Assistant | Healthcare | Diagnoses & monitors diseases | | | Automated Trading Bot | Finance | Real-time market analysis | | | Agent Wallet SDK | Finance | Smart contract wallet for agents | | | Virtual AI Tutor | Education | Personalized learning | | | 24/7 AI Chatbot | Customer Service | Round-the-clock support | | | Product Recommendation Agent | Retail | Personalized suggestions | | | Self-Driving Delivery Agent | Transportation | Autonomous route optimization | | | Factory Process Monitor | Manufacturing | Production line quality control | | | Property Pricing Agent | Real Estate | Market trend analysis | | | Smart Farming Assistant | Agriculture | Crop health & yield predictions | | | Energy Demand Forecasting | Energy | Grid optimization | | | Content Personalization Agent | Entertainment | Media recommendations | | | Legal Document Review | Legal | Clause extraction & review | | | Recruitment Recommender | HR | Candidate-job matching | | | Virtual Travel Assistant | Hospitality | Itinerary planning | | | AI Game Companion | Gaming | Real-time gameplay assistance | | | Threat Detection Agent | Cybersecurity | Real-time threat mitigation | | | E-commerce Personal Shopper | E-commerce | Product discovery | | | Logistics Optimization Agent | Supply Chain | Route & inventory management | | | Vibe Hacking Agent | Cybersecurity | Red team testing | | | Citadel | Software Dev | Claude Code agent fleets | | | MediSuite-AI-Agent | Health Insurance | Claims workflow automation | | | Lina Egyptian Medical Chatbot | Healthcare | Medical assistant chatbot | |

🤖 CREWAI — Role-Based Multi-Agent Framework

%%{init: {'theme': 'base', 'themeVariables': { 'background': '#0d1117', 'primaryColor': '#7b2ff7', 'primaryTextColor': '#fff', 'primaryBorderColor': '#7b2ff7', 'lineColor': '#7b2ff7', 'secondaryColor': '#0a0a1a'}}}%%
graph LR
    C["🧠 Manager Agent"] --> W1["📊 Marketing Strategist"]
    C --> W2["📧 Email Responder"]
    C --> W3["📈 Lead Scorer"]
    C --> W4["🗺️ Trip Planner"]
    C --> W5["📸 Instagram Poster"]
    C --> W6["🎬 Game Builder"]
    style C fill:#1a0a2e,stroke:#7b2ff7,stroke-width:3px,color:#7b2ff7

| AGENT | DOMAIN | SIGNAL | LINK | |-------|--------|--------|------| | Email Auto Responder Flow | Communication | Automated email responses | | | Meeting Assistant Flow | Productivity | Scheduling & agendas | | | Self Evaluation Loop Flow | HR | Performance reviews | | | Lead Score Flow | Sales | Lead prioritization | | | Marketing Strategy Generator | Marketing | Trend-based strategy | | | Job Posting Generator | Recruitment | Auto job descriptions | | | Recruitment Workflow | Recruitment | End-to-end hiring | | | Match Profile to Positions | Recruitment | Candidate matching | | | Instagram Post Generator | Social Media | Auto post generation | | | Landing Page Generator | Web Dev | Automated landing pages | | | Game Builder Crew | Game Dev | Automated game creation | | | Stock Analysis Tool | Finance | Market data analysis | | | Trip Planner | Travel | Itinerary planning | | | Surprise Trip Planner | Travel | Surprise itineraries | | | Write a Book with Flows | Creative Writing | Structured authorship | | | Screenplay Writer | Creative Writing | Script writing | | | Markdown Validator | Documentation | Format validation | | | Meta Quest Knowledge | Knowledge Mgmt | Information retrieval | | | NVIDIA Models Integration | AI Integration | NVIDIA model workflows | | | Prep for a Meeting | Productivity | Meeting materials | | | Starter Template | Development | New project bootstrap | | | CrewAI + LangGraph Integration | AI Integration | Cross-framework bridge | |

🧠 AUTOGEN — Microsoft's Multi-Agent Framework

%%{init: {'theme': 'base', 'themeVariables': { 'background': '#0d1117', 'primaryColor': '#ff00aa', 'primaryTextColor': '#fff', 'primaryBorderColor': '#ff00aa', 'lineColor': '#ff00aa', 'secondaryColor': '#0a0a1a'}}}%%
graph TB
    subgraph AG["Code Gen"]
        A1["Code Generation"]
        A2["Execution & Debug"]
        A3["RAG-based Q&A"]
    end
    subgraph AM["Multi-Agent"]
        B1["Group Chat"]
        B2["Nested Chats"]
        B3["Society of Mind"]
    end
    subgraph AT["Tools"]
        C1["Web Search"]
        C2["SQL Query"]
        C3["Multimodal"]
    end
    AG --> AM --> AT
    style AG fill:#1a0a1a,stroke:#ff00aa,color:#ff00aa
    style AM fill:#1a0a1a,stroke:#ff00aa,color:#ff00aa
    style AT fill:#1a0a1a,stroke:#ff00aa,color:#ff00aa

── Code Generation, Execution & Debugging ──

| AGENT | DOMAIN | SIGNAL | NOTEBOOK | |-------|--------|--------|----------| | Automated Task Solving | Software Dev | Code gen + exec + debug | | | Code Generation + RAG | Software Dev | Retrieval-augmented coding | | | Qdrant-based Retrieval | Software Dev | Vector search for code | |

── Multi-Agent Collaboration ──

| AGENT | DOMAIN | SIGNAL | NOTEBOOK | |-------|--------|--------|----------| | Group Chat (3 members + manager) | Collaboration | Multi-agent problem solving | | | Data Visualization Group Chat | Data Analysis | Collaborative viz generation | | | Complex Task (6 members) | Collaboration | Large-scale group problem solving | | | Coding + Planning Agents | Planning & Dev | Combined code + plan agents | | | Graph Transition Paths | Collaboration | Finite state machine agents | | | SocietyOfMind Agent | Cognitive Sci | Inner-monologue simulation | | | Custom Speaker Selection | Collaboration | Dynamic speaker routing | |

── Sequential Chats & Nested ──

| AGENT | DOMAIN | SIGNAL | NOTEBOOK | |-------|--------|--------|----------| | Sequential (single initiator) | Workflow Automation | Task chain automation | | | Async Sequential | Workflow Automation | Non-blocking task chains | | | Sequential (different initiators) | Workflow Automation | Multi-initiator sequences | | | Solving with Nested Chats | Problem Solving | Hierarchical decomposition | | | Sequence of Nested Chats | Problem Solving | Chained nested chats | | | OptiGuide Supply Chain | Supply Chain | Nested chat optimization | | | Conversational Chess | Gaming | Tool-use with nested chats | |

── Tools & Multimodal ──

| AGENT | DOMAIN | SIGNAL | NOTEBOOK | |-------|--------|--------|----------| | Web Search Agent | Info Retrieval | Web-powered task solving | | | Tools as Functions | Tool Integration | Function-calling agents | | | RAG Group Chat | Collaboration | Group chat with RAG | | | Whisper Audio Agent | Audio Processing | Transcription & translation | | | Natural Language → SQL | Database | NL queries to SQL | | | DALLE + GPT-4V Multimodal | Multimedia AI | Image gen + vision agents | | | Multimodal with Llava | Image Processing | Visual agent conversations | | | Multimodal with GPT-4V | Multimedia AI | Vision + language agents | |

── Observability & Evaluation ──

| AGENT | DOMAIN | SIGNAL | NOTEBOOK | |-------|--------|--------|----------| | AgentEval | Performance Eval | Multi-agent assessment | | | AgentOps Monitoring | Monitoring | LLM call tracking | | | AutoBuild Multi-Agent | AI Development | Auto system building | |

⚙️ AGNO — Lightweight Agent Framework

| AGENT | DOMAIN | SIGNAL | CODE | |-------|--------|--------|------| | Support Agent | AI Framework | Real-time Agno support | | | YouTube Agent | Media & Content | Video analysis & summaries | | | Finance Agent (Thinking) | Finance | Stock insights & deep dives | | | Study Partner | Education | Learning companion | | | Shopping Partner Agent | E-commerce | Product recommendations | | | Research Scholar Agent | Education/Research | Academic search & reports | | | Research Agent | Media & Journalism | Deep investigations | | | Recipe Creator | Food & Culinary | Personalized recipes | | | Financial Reasoning Agent | Finance | Claude-powered stock analysis | | | Readme Generator Agent | Software Dev | Auto README generation | | | Movie Recommendation Agent | Entertainment | Personalized picks | | | Media Trend Analysis | Media & News | Trend & influencer analysis | | | Legal Document Analysis | Legal Tech | PDF analysis with vectors | | | DeepKnowledge | Research | Iterative deep reasoning | | | Book Recommendation Agent | Publishing & Media | Literary suggestions | | | MCP Airbnb Agent | Hospitality | Airbnb search with MCP | | | Agno Assist Agent | AI Framework | Agno Q&A with hybrid search | |

🏗️ LANGGRAPH — Stateful Agent Workflows

%%{init: {'theme': 'base', 'themeVariables': { 'background': '#0d1117', 'primaryColor': '#00f5ff', 'primaryTextColor': '#fff', 'primaryBorderColor': '#00f5ff', 'lineColor': '#00f5ff', 'secondaryColor': '#0a0a1a'}}}%%
graph LR
    L["🧠 Supervisor"] --> L1["🤖 Chatbot Eval"]
    L --> L2["🧑‍💼 Customer Support"]
    L --> L3["🧠 Multi-Agent Teams"]
    L --> L4["📚 RAG Pipeline"]
    L --> L5["🔁 Reflection Agent"]
    L --> L6["🧠 Plan & Execute"]
    style L fill:#0a1a1a,stroke:#00f5ff,stroke-width:3px,color:#00f5ff

| AGENT | DOMAIN | SIGNAL | CODE | |-------|--------|--------|------| | Chatbot Simulation Evaluation | AI / QA | Simulated user interactions | | | Information Gathering via Prompting | Research | Prompt-based data collection | | | Code Assistant | Software Dev | Resilient code assistant | | | Customer Support Agent | Customer Support | Graph-based inquiry handling | | | Extraction with Retries | Data Extraction | Robust data extraction | | | Multi-Agent Supervisor | Orchestration | Supervisor + specialists | | | Hierarchical Agent Teams | Orchestration | Top-down delegation | | | Multi-Agent Collaboration | Orchestration | Specialists in parallel | | | Plan-and-Execute Agent | Orchestration | Plan → execute sequentially | | | SQL Agent | Database | NL database queries | | | Reflection Agent | Orchestration | Self-critique & revision | | | Reflexion Agent | Orchestration | Iterative improvement | | | Adaptive RAG | Info Retrieval | Dynamic retrieval strategy | | | Agentic RAG | Intelligent Agents | Best-strategy retrieval | | | Corrective RAG (CRAG) | Info Retrieval | Document refinement | | | Self-RAG | Info Retrieval | Self-evaluating retrieval | | | Adaptive RAG (Local) | Info Retrieval | Offline adaptive RAG | | | Self-RAG (Local) | Info Retrieval | Offline self-evaluating RAG | |

📂 WORKING AGENTS — Ready to Run

agents/
├── 01-web-research-agent/
├── 02-code-review-agent/
├── 03-pdf-qa-agent/
├── 04-sql-query-agent/
├── 05-email-drafting-agent/
├── 06-news-summarizer-agent/
├── 07-github-issue-triager/
├── 08-data-analysis-agent/
├── 09-resume-parser-agent/
├── 10-meeting-notes-agent/
├── 11-stock-research-agent/
├── 12-travel-planner-agent/
├── 13-customer-support-agent/
├── 14-social-media-agent/
├── 15-unit-test-generator/
├── 16-documentation-writer/
├── 17-recipe-agent/
├── 18-job-application-agent/
├── 19-competitive-analysis-agent/
└── 20-multi-agent-debate/

Each agent includes: agent.py · requirements.txt · .env.example · README.md

🤝 CONTRIBUTE

%%{init: {'theme': 'base', 'themeVariables': { 'background': '#0d1117', 'primaryColor': '#ff6600', 'primaryTextColor': '#fff', 'primaryBorderColor': '#ff6600', 'lineColor': '#ff6600', 'secondaryColor': '#0a0a1a'}}}%%
graph LR
    F["🍴 Fork"] --> B["🌿 Branch: feat/name"]
    B --> A["➕ Add your agent"]
    A --> P["📬 Open PR"]
    P --> M["✅ Merge"]
    style F fill:#1a1a0a,stroke:#ff6600,color:#ff6600
    style B fill:#1a1a0a,stroke:#ff6600,color:#ff6600
    style A fill:#1a1a0a,stroke:#ff6600,color:#ff6600
    style P fill:#1a1a0a,stroke:#ff6600,color:#ff6600
    style M fill:#1a1a0a,stroke:#00ff88,color:#00ff88

Contribution types:

Add a working agent — new folder in agents/ with runnable code
Add an external link — new row in industry/framework tables
Fix a broken link — open an issue or PR
Improve docs — typos, context, examples

See CONTRIBUTION.md for full requirements (metadata.yaml, requirements.txt, etc.).

⭐ STAR HISTORY

📜 LICENSE

MIT License — See LICENSE.

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  ██║  ██║███████╗██████╔╝██║  ██║██║███████╗██║██║     ██╔╝ ██╗
  ╚═╝  ╚═╝╚══════╝╚═════╝ ╚═╝  ╚═╝╚═╝╚══════╝╚═╝╚═╝     ╚═╝  ╚═╝

⭐ Star this repo — it helps others find it
Report Issue • Request Agent • Contribute

</div>

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

MissingGITHUB REPOS

Endpoints

Dossier API Snapshot API Contract API Trust API

Contract coverage

Status

missing

Auth

None

Streaming

Data region

Unspecified

Protocol support

OpenClaw: self-declared

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.

Invocation examples

curl -s "https://www.xpersona.co/api/v1/agents/crewai-deb888-500-ai-agents-playbook/snapshot"

curl -s "https://www.xpersona.co/api/v1/agents/crewai-deb888-500-ai-agents-playbook/contract"

curl -s "https://www.xpersona.co/api/v1/agents/crewai-deb888-500-ai-agents-playbook/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

Trust signals

Handshake

UNKNOWN

Confidence

unknown

Attempts 30d

unknown

Fallback rate

unknown

Runtime metrics

Observed P50

unknown

Observed P95

unknown

Rate limit

unknown

Estimated cost

unknown

Do not use if

Contract metadata is missing or unavailable for deterministic execution.

No benchmark suites or observed failure patterns are available.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

Missingno-media

No screenshots, media assets, or demo links are available.

Related Agents

Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

Self-declaredprotocol-neighbors

Github ReposUpdated 3h agoRank 70

AionUi

Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!

MCPOPENCLAW

Github ReposUpdated 6mo agoRank 70

activepieces

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

OPENCLAW

Github ReposUpdated 6mo agoRank 70

cherry-studio

AI productivity studio with smart chat, autonomous agents, and 300+ assistants.

MCPOPENCLAW

Github ReposUpdated 7mo agoRank 70

CopilotKit

The Frontend for Agents & Generative UI. React + Angular

OPENCLAW

Machine Appendix

Contract JSON

{
  "contractStatus": "missing",
  "authModes": [],
  "requires": [],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": null,
  "outputSchemaRef": null,
  "dataRegion": null,
  "contractUpdatedAt": null,
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://www.xpersona.co/api/v1/agents/crewai-deb888-500-ai-agents-playbook/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-deb888-500-ai-agents-playbook/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-deb888-500-ai-agents-playbook/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-deb888-500-ai-agents-playbook/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-deb888-500-ai-agents-playbook/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-deb888-500-ai-agents-playbook/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_REPOS",
      "generatedAt": "2026-10-09T22:16:09.111Z"
    }
  },
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffMs": [
      500,
      1500,
      3500
    ],
    "retryableConditions": [
      "HTTP_429",
      "HTTP_503",
      "NETWORK_TIMEOUT"
    ]
  }
}

Trust JSON

{
  "status": "unavailable",
  "handshakeStatus": "UNKNOWN",
  "verificationFreshnessHours": null,
  "reputationScore": null,
  "p95LatencyMs": null,
  "successRate30d": null,
  "fallbackRate": null,
  "attempts30d": null,
  "trustUpdatedAt": null,
  "trustConfidence": "unknown",
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Capability Matrix

{
  "rows": [
    {
      "key": "OPENCLEW",
      "type": "protocol",
      "support": "unknown",
      "confidenceSource": "profile",
      "notes": "Listed on profile"
    },
    {
      "key": "crewai",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "multi-agent",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:crewai|supported|profile capability:multi-agent|supported|profile"
}

Facts JSON

[
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Deb888",
    "href": "https://github.com/deb888/500-AI-Agents-Playbook",
    "sourceUrl": "https://github.com/deb888/500-AI-Agents-Playbook",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-10-09T17:16:51.438Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-deb888-500-ai-agents-playbook/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-deb888-500-ai-agents-playbook/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-10-09T17:16:51.438Z",
    "isPublic": true
  },
  {
    "factKey": "docs_crawl",
    "category": "integration",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-deb888-500-ai-agents-playbook/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-deb888-500-ai-agents-playbook/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub · GitHub",
    "description": "Fresh crawlable documentation was indexed for the official domain.",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  }
]