{"id":"d3d748c4-02d1-4bc8-b505-ee42673e4b38","entityType":"agent","slug":"crewai-monish-nallagondalla-crewai-content-researcher","name":"crewai-content-researcher","canonicalUrl":"https://www.xpersona.co/agent/crewai-monish-nallagondalla-crewai-content-researcher","canonicalPath":"/agent/crewai-monish-nallagondalla-crewai-content-researcher","generatedAt":"2026-10-10T06:54:12.340Z","source":"GITHUB_REPOS","claimStatus":"UNCLAIMED","verificationTier":"NONE","summary":{"evidence":{"source":"editorial-content","verified":true,"confidence":"high","updatedAt":"2026-04-15T05:21:22.124Z","emptyReason":null},"description":"An intelligent multi-agent AI system that creates comprehensive research guides on any topic using crewAI's powerful framework. The system leverages specialized AI agents that collaborate to research, write, and review content, producing structured markdown guides with detailed sections, examples, and practical applications. Content Research Crew $1 $1 $1 An intelligent multi-agent AI system that creates comprehensive research guides on any topic using crewAI's powerful framework. The system leverages specialized AI agents that collaborate to research, write, and review content, producing structured markdown guides with detailed sections, examples, and practical applications. 🚀 Features - **Multi-Agent Collaboration**: Content writer an","descriptionLabel":"Technical summary","evidenceSummary":"Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.","installCommand":null,"sourceUrl":"https://github.com/Monish-Nallagondalla/crewai-content-researcher","homepage":null,"primaryLinks":[{"label":"View Source","url":"https://github.com/Monish-Nallagondalla/crewai-content-researcher","kind":"source"}],"safetyScore":66,"overallRank":18,"popularityScore":0,"trustScore":null,"claimedByName":null,"isOwner":false,"seoDescription":"An intelligent multi-agent AI system that creates comprehensive research guides on any topic using crewAI's powerful framework. The system leverages specialized"},"coverage":{"evidence":{"source":"public-profile","verified":false,"confidence":"medium","updatedAt":"2026-04-15T05:21:22.124Z","emptyReason":null},"protocols":[{"protocol":"OPENCLEW","label":"OpenClaw","status":"self-declared","notes":"Declared in the public agent profile."}],"capabilities":[{"label":"crewai","status":"self-declared"},{"label":"multi-agent","status":"self-declared"}],"verifiedCount":0,"selfDeclaredCount":3,"capabilityMatrix":{"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"}},"adoption":{"evidence":{"source":"no-adoption-signals","verified":false,"confidence":"low","updatedAt":"2026-04-15T05:21:22.124Z","emptyReason":"No source adoption metrics were available."},"stars":0,"forks":0,"downloads":null,"packageName":null,"latestVersion":null,"tractionLabel":null},"release":{"evidence":{"source":"agent-index","verified":false,"confidence":"medium","updatedAt":"2026-02-25T05:06:59.451Z","emptyReason":null},"lastUpdatedAt":"2026-04-15T05:21:22.124Z","lastCrawledAt":"2026-02-25T05:06:59.451Z","lastIndexedAt":null,"nextCrawlAt":"2026-03-04T05:06:59.451Z","lastVerifiedAt":null,"highlights":[]},"execution":{"evidence":{"source":"GITHUB REPOS","verified":false,"confidence":"low","updatedAt":null,"emptyReason":"No published capability contract is available yet."},"installCommand":null,"setupComplexity":"low","setupSteps":["Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.","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."],"contract":{"contractStatus":"missing","authModes":[],"requires":[],"forbidden":[],"supportsMcp":false,"supportsA2a":false,"supportsStreaming":false,"inputSchemaRef":null,"outputSchemaRef":null,"dataRegion":null,"contractUpdatedAt":null,"sourceUpdatedAt":null,"freshnessSeconds":null},"invocationGuide":{"preferredApi":{"snapshotUrl":"https://www.xpersona.co/api/v1/agents/crewai-monish-nallagondalla-crewai-content-researcher/snapshot","contractUrl":"https://www.xpersona.co/api/v1/agents/crewai-monish-nallagondalla-crewai-content-researcher/contract","trustUrl":"https://www.xpersona.co/api/v1/agents/crewai-monish-nallagondalla-crewai-content-researcher/trust"},"curlExamples":["curl -s \"https://www.xpersona.co/api/v1/agents/crewai-monish-nallagondalla-crewai-content-researcher/snapshot\"","curl -s \"https://www.xpersona.co/api/v1/agents/crewai-monish-nallagondalla-crewai-content-researcher/contract\"","curl -s \"https://www.xpersona.co/api/v1/agents/crewai-monish-nallagondalla-crewai-content-researcher/trust\""],"jsonRequestTemplate":{"query":"summarize this repo","constraints":{"maxLatencyMs":2000,"protocolPreference":["OPENCLEW"]}},"jsonResponseTemplate":{"ok":true,"result":{"summary":"...","confidence":0.9},"meta":{"source":"GITHUB_REPOS","generatedAt":"2026-10-10T06:54:12.340Z"}},"retryPolicy":{"maxAttempts":3,"backoffMs":[500,1500,3500],"retryableConditions":["HTTP_429","HTTP_503","NETWORK_TIMEOUT"]}},"endpoints":{"dossierUrl":"https://www.xpersona.co/api/v1/agents/crewai-monish-nallagondalla-crewai-content-researcher/dossier","snapshotUrl":"https://www.xpersona.co/api/v1/agents/crewai-monish-nallagondalla-crewai-content-researcher/snapshot","contractUrl":"https://www.xpersona.co/api/v1/agents/crewai-monish-nallagondalla-crewai-content-researcher/contract","trustUrl":"https://www.xpersona.co/api/v1/agents/crewai-monish-nallagondalla-crewai-content-researcher/trust"}},"reliability":{"evidence":{"source":"runtime-metrics","verified":false,"confidence":"low","updatedAt":null,"emptyReason":"No trust, reliability, or runtime telemetry is available."},"trust":{"status":"unavailable","handshakeStatus":"UNKNOWN","verificationFreshnessHours":null,"reputationScore":null,"p95LatencyMs":null,"successRate30d":null,"fallbackRate":null,"attempts30d":null,"trustUpdatedAt":null,"trustConfidence":"unknown","sourceUpdatedAt":null,"freshnessSeconds":null},"decisionGuardrails":{"doNotUseIf":["Contract metadata is missing or unavailable for deterministic execution."],"safeUseWhen":[],"riskFlags":["missing_or_unavailable_contract","trust_data_unavailable","schema_references_missing"],"operationalConfidence":"low"},"executionMetrics":{"observedLatencyMsP50":null,"observedLatencyMsP95":null,"estimatedCostUsd":null,"uptime30d":null,"rateLimitRpm":null,"rateLimitBurst":null,"lastVerifiedAt":null,"verificationSource":null},"runtimeMetrics":{"successRate":null,"avgLatencyMs":null,"avgCostUsd":null,"hallucinationRate":null,"retryRate":null,"disputeRate":null,"p50Latency":null,"p95Latency":null,"lastUpdated":null}},"benchmarks":{"evidence":{"source":"no-benchmark-data","verified":false,"confidence":"low","updatedAt":null,"emptyReason":"No benchmark suites or observed failure patterns are available."},"suites":[],"failurePatterns":[]},"artifacts":{"evidence":{"source":"GITHUB REPOS","verified":false,"confidence":"high","updatedAt":"2026-04-15T05:21:22.124Z","emptyReason":null},"readme":"# Content Research Crew\n\n[![Python](https://img.shields.io/badge/Python-3.10+-blue.svg)](https://www.python.org/)\n[![crewAI](https://img.shields.io/badge/crewAI-0.108.0+-green.svg)](https://crewai.com)\n[![License](https://img.shields.io/badge/License-MIT-yellow.svg)](LICENSE)\n\nAn intelligent multi-agent AI system that creates comprehensive research guides on any topic using crewAI's powerful framework. The system leverages specialized AI agents that collaborate to research, write, and review content, producing structured markdown guides with detailed sections, examples, and practical applications.\n\n## 🚀 Features\n\n- **Multi-Agent Collaboration**: Content writer and reviewer agents work together to ensure quality\n- **Flexible Topic Coverage**: Generate guides on any subject for different audience levels (beginner/intermediate/advanced)\n- **Structured Output**: Produces well-organized markdown guides with introductions, sections, and conclusions\n- **Interactive Flow**: Step-by-step guide creation process with user input\n- **Configurable Agents**: Easily customize agent roles, goals, and tasks through YAML configuration\n- **Flow Visualization**: Generate interactive flow diagrams to understand the process\n\n## 🏗️ System Architecture\n\nThe system operates through three main phases:\n\n### 1. User Input Phase\n- Collect topic and target audience level from user\n- Validate input and prepare for guide creation\n\n### 2. Outline Creation Phase\n- Use LLM to generate structured guide outline\n- Create title, introduction, sections, and conclusion\n- Save outline as JSON for reference\n\n### 3. Content Creation Phase\n- Content Writer Agent creates detailed sections\n- Content Reviewer Agent ensures quality and consistency\n- Sequential processing maintains flow and coherence\n- Compile final guide in markdown format\n\n![Flow Diagram](flow_diagram.svg)\n\n## 📋 Prerequisites\n\n- Python 3.10 or higher\n- OpenAI API key (for LLM functionality)\n- UV package manager (recommended)\n\n## 🛠️ Installation\n\n### Using UV (Recommended)\n\n1. **Install UV**:\n   ```bash\n   pip install uv\n   ```\n\n2. **Clone the repository**:\n   ```bash\n   git clone <repository-url>\n   cd content-research-crew\n   ```\n\n3. **Install dependencies**:\n   ```bash\n   uv sync\n   ```\n\n### Using Conda\n\n1. **Create environment**:\n   ```bash\n   conda create -p venv python==3.11\n   conda activate venv/\n   ```\n\n2. **Install dependencies**:\n   ```bash\n   pip install crewai crewai-tools\n   pip install -e .\n   ```\n\n## ⚙️ Configuration\n\n### Environment Setup\n\n1. **Create `.env` file** in the project root:\n   ```bash\n   cp .env.example .env\n   ```\n\n2. **Add your OpenAI API key** to `.env`:\n   ```\n   OPENAI_API_KEY=your_api_key_here\n   ```\n\n### Agent Configuration\n\nCustomize agent behavior by modifying the YAML files in `src/researcher_content/crews/content_crew/config/`:\n\n- **`agents.yaml`**: Define agent roles, goals, and LLM models\n- **`tasks.yaml`**: Configure writing and reviewing tasks with detailed instructions\n\nExample agent configuration:\n```yaml\ncontent_writer:\n  role: \"Educational Content Writer\"\n  goal: \"Create engaging, informative content that thoroughly explains the assigned topic\"\n  backstory: \"You are a talented educational writer with expertise in creating clear, engaging content...\"\n  llm: openai/gpt-4o-mini\n```\n\n## 🚀 Usage\n\n### Running the Guide Creator\n\n1. **Start the application**:\n   ```bash\n   uv run kickoff\n   ```\n\n2. **Follow the prompts**:\n   - Enter your desired topic\n   - Select audience level (beginner/intermediate/advanced)\n\n3. **View the results**:\n   - Guide outline: `output/guide_outline.json`\n   - Complete guide: `output/complete_guide.md`\n\n### Generating Flow Visualization\n\nCreate an interactive visualization of the flow:\n```bash\nuv run plot\n```\n\nThis generates `guide_creator_flow.html` for viewing the flow diagram.\n\n## 🤖 Understanding the Agents\n\n### Content Writer Agent\n- **Role**: Creates comprehensive, engaging content sections\n- **Focus**: Educational value, clarity, and practical examples\n- **Output**: Well-structured markdown sections with 500-800 words each\n\n### Content Reviewer Agent\n- **Role**: Ensures content quality and consistency\n- **Focus**: Accuracy, coherence, and alignment with previous sections\n- **Output**: Polished, improved versions of written content\n\n## 📁 Project Structure\n\n```\ncontent-research-crew/\n├── src/researcher_content/\n│   ├── main.py                    # Main flow implementation\n│   ├── crews/\n│   │   └── content_crew/\n│   │       ├── content_crew.py    # Crew definition\n│   │       └── config/\n│   │           ├── agents.yaml    # Agent configurations\n│   │           └── tasks.yaml     # Task definitions\n│   └── tools/\n│       └── custom_tool.py         # Custom tools (placeholder)\n├── output/\n│   ├── complete_guide.md          # Generated guide\n│   └── guide_outline.json         # Guide structure\n├── docs/\n│   └── images/\n│       └── flow_diagram.svg       # Flow visualization\n├── pyproject.toml                 # Project configuration\n├── uv.lock                        # Dependency lock file\n└── README.md                      # This file\n```\n\n## 🔧 Development\n\n### Extending the System\n\n1. **Add New Agents**:\n   - Create new agent definitions in `agents.yaml`\n   - Implement agent logic in the crew file\n\n2. **Create Custom Tasks**:\n   - Define new tasks in `tasks.yaml`\n   - Update the crew to include new tasks\n\n3. **Add Custom Tools**:\n   - Implement tools in `src/researcher_content/tools/`\n   - Register tools with agents in the crew\n\n### Example: Adding a Research Agent\n\n```yaml\n# In agents.yaml\nresearch_agent:\n  role: \"Research Specialist\"\n  goal: \"Gather and analyze relevant information for the topic\"\n  backstory: \"You are an expert researcher with access to vast knowledge...\"\n  llm: openai/gpt-4o-mini\n```\n\n## 📊 Output Examples\n\nThe system generates comprehensive guides like:\n\n- **Guide Outline** (JSON): Structured outline with sections and descriptions\n- **Complete Guide** (Markdown): Full guide with:\n  - Professional introduction\n  - Detailed content sections\n  - Practical examples and exercises\n  - Summary conclusions\n\n## 🤝 Contributing\n\n1. Fork the repository\n2. Create a feature branch (`git checkout -b feature/amazing-feature`)\n3. Commit your changes (`git commit -m 'Add amazing feature'`)\n4. Push to the branch (`git push origin feature/amazing-feature`)\n5. Open a Pull Request\n\n## 📚 Resources\n\n- [crewAI Documentation](https://docs.crewai.com)\n- [OpenAI API Reference](https://platform.openai.com/docs)\n- [UV Package Manager](https://docs.astral.sh/uv/)\n\n## 🆘 Support\n\n- **Issues**: [GitHub Issues](https://github.com/your-username/content-research-crew/issues)\n- **Documentation**: [crewAI Docs](https://docs.crewai.com)\n- **Community**: [crewAI Discord](https://discord.com/invite/X4JWnZnxPb)\n\n## 📄 License\n\nThis project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.\n\n---\n\n**Made with ❤️ using [crewAI](https://crewai.com)**\n","readmeExcerpt":"Content Research Crew $1 $1 $1 An intelligent multi-agent AI system that creates comprehensive research guides on any topic using crewAI's powerful framework. The system leverages specialized AI agents that collaborate to research, write, and review content, producing structured markdown guides with detailed sections, examples, and practical applications. 🚀 Features - **Multi-Agent Collaboration**: Content writer an","codeSnippets":[],"executableExamples":[{"language":"bash","snippet":"pip install uv"},{"language":"bash","snippet":"git clone <repository-url>\n   cd content-research-crew"},{"language":"bash","snippet":"uv sync"},{"language":"bash","snippet":"conda create -p venv python==3.11\n   conda activate venv/"},{"language":"bash","snippet":"pip install crewai crewai-tools\n   pip install -e ."},{"language":"bash","snippet":"cp .env.example .env"}],"parameters":null,"dependencies":[],"permissions":[],"extractedFiles":[],"languages":["python"],"docsSourceLabel":"GITHUB REPOS","editorialOverview":"An intelligent multi-agent AI system that creates comprehensive research guides on any topic using crewAI's powerful framework. The system leverages specialized AI agents that collaborate to research, write, and review content, producing structured markdown guides with detailed sections, examples, and practical applications. Content Research Crew $1 $1 $1 An intelligent multi-agent AI system that creates comprehensive research guides on any topic using crewAI's powerful framework. The system leverages specialized AI agents that collaborate to research, write, and review content, producing structured markdown guides with detailed sections, examples, and practical applications. 🚀 Features - **Multi-Agent Collaboration**: Content writer an","editorialQuality":{"score":100,"threshold":65,"status":"ready","wordCount":410,"uniquenessScore":59,"reasons":[]}},"media":{"evidence":{"source":"no-media","verified":false,"confidence":"low","updatedAt":"2026-04-15T05:21:22.124Z","emptyReason":"No screenshots, media assets, or demo links are available."},"primaryImageUrl":null,"mediaAssetCount":0,"assets":[],"demoUrl":null},"ownerResources":{"evidence":{"source":"unclaimed","verified":false,"confidence":"low","updatedAt":"2026-04-15T05:21:22.124Z","emptyReason":"This page has not been claimed by the agent owner."},"hasCustomPage":false,"customPageUpdatedAt":null,"customLinks":[],"structuredLinks":{"docsUrl":null,"demoUrl":null,"supportUrl":null,"pricingUrl":null,"statusUrl":null},"customPage":null},"relatedAgents":{"evidence":{"source":"protocol-neighbors","verified":false,"confidence":"medium","updatedAt":"2026-10-10T06:54:12.340Z","emptyReason":null},"items":[{"id":"8ebccd8e-3863-4187-8355-c3f14e1f9edf","entityType":"agent","canonicalPath":"/agent/iofficeai-aionui","slug":"iofficeai-aionui","name":"AionUi","description":"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!","url":"https://github.com/iOfficeAI/AionUi","homepage":"https://www.aionui.com","source":"GITHUB_REPOS","protocols":["MCP","OPENCLAW"],"capabilities":[],"safetyScore":100,"overallRank":70,"updatedAt":"2026-10-09T19:11:12.944Z","createdAt":"2026-02-25T03:38:16.584Z","downloads":null},{"id":"b917f68a-ebff-438e-84f8-3f4b2494c0bc","entityType":"agent","canonicalPath":"/agent/activepieces-activepieces","slug":"activepieces-activepieces","name":"activepieces","description":"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","url":"https://github.com/activepieces/activepieces","homepage":"https://www.activepieces.com","source":"GITHUB_REPOS","protocols":["OPENCLAW"],"capabilities":[],"safetyScore":100,"overallRank":70,"updatedAt":"2026-04-15T02:22:12.426Z","createdAt":"2026-02-25T03:38:12.412Z","downloads":null},{"id":"5cb26759-3a39-483f-94cf-276a98c13bb8","entityType":"agent","canonicalPath":"/agent/cherryhq-cherry-studio","slug":"cherryhq-cherry-studio","name":"cherry-studio","description":"AI productivity studio with smart chat, autonomous agents, and 300+ assistants. Unified access to frontier LLMs","url":"https://github.com/CherryHQ/cherry-studio","homepage":"https://cherry-ai.com","source":"GITHUB_REPOS","protocols":["MCP","OPENCLAW"],"capabilities":[],"safetyScore":100,"overallRank":70,"updatedAt":"2026-04-11T14:38:40.986Z","createdAt":"2026-02-25T03:38:19.379Z","downloads":null},{"id":"6f6582d0-5d76-4f0f-b81d-86520247950b","entityType":"agent","canonicalPath":"/agent/copilotkit-copilotkit","slug":"copilotkit-copilotkit","name":"CopilotKit","description":"The Frontend for Agents & Generative UI. React + Angular","url":"https://github.com/CopilotKit/CopilotKit","homepage":"https://docs.copilotkit.ai","source":"GITHUB_REPOS","protocols":["OPENCLAW"],"capabilities":[],"safetyScore":100,"overallRank":70,"updatedAt":"2026-03-25T09:50:57.846Z","createdAt":"2026-02-25T03:39:14.617Z","downloads":null}],"links":{"hub":"/agent","source":"/agent/source/github_repos","protocols":[{"label":"OpenClaw","href":"/agent/protocol/openclew"}]}}}