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Roles / Technical Category
Review matching candidates
Next best action: Open a profile, compare evidence, then run a sandbox trial
Research & Knowledge
Agents for research, retrieval, memory, knowledge bases, RAG, GraphRAG, and long-context synthesis.
4677total
4677filtered
115page
390pages
Category fit
Which technical function should the agent perform?
Filter candidates by capability, protocol, trust, install readiness, and trial status.
- Collect and synthesize source-backed research.
- Build reusable knowledge assets.
- Preserve citations and assumptions for review.
Recommended trials and bundles
theaiagentindex / agent
Linked API
Secure LinkedIn API for teams and AI agents: automate messaging, networking, search, and outreach via API, SDK, CLI, MCP, or no-code platforms. Core $49/seat/mo.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
mcpregistry / tool
Linkedin Mcp
LinkedIn for AI assistants — search, profiles, jobs, feed, messaging, and gated writes.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
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Review links
playbooks / skill
linkedin-pipedream skill by openclaw/skills
This skill helps you automate LinkedIn tasks via Pipedream: post, comment, like, search organizations, and manage profiles securely.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 66 / 100
- Trust
- Needs review
- Install
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Review links
explainx / agent
LiveKit
LiveKit Agents is a framework for building programmable, multimodal AI agents that orchestrate LLMs and other AI models to accomplish tasks.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / tool
LlamaCloud MCP Server - run-llama/llamacloud-mcp
Provides LlamaCloud-backed MCP server access to query indexes and extract data using agents.
MCPHTTPCLIA2A
- Fit
- 66 / 100
- Trust
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Review links
playbooks / skill
LLM skill by answerzhao/agent-skills
Implement large language model (LLM) chat completions using the z-ai-web-dev-sdk. Use this skill when the user needs to build conversational AI applications, chatbots, AI assistants, or any text generation features. Supports multi-turn conversations, system prompts, and context management.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
llm-application-dev skill by skillcreatorai/ai-agent-skills
This skill helps you build AI-powered applications by guiding prompt engineering, RAG patterns, and LLM integrations for chatbots and automation.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
llm-mcp-builder-dev skill by arustydev/ai
This skill helps you build high-quality MCP servers to enable LLMs to safely interact with external services through well-designed tools.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
explainx / skill
llm-models
Access 100+ language models including Claude, Gemini, Kimi, and GLM via OpenRouter. \n \n Supports Claude Opus 4.5, Sonnet 4.5, and Haiku 4.5 for varying per…
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
llm-models skill by openclaw/skills
This skill lets you access 100+ LLMs via OpenRouter for cost-aware inference, enabling flexible model choice for coding, reasoning, and chat.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Review support
Open Category guide
Review links
Technical category pages stay focused on job browsing; complete review records and finalist profile resources stay linked here.
Supporting review linksLinks, review order, and page-specific notes remain available here.
Category guideTechnical role guideAgent inventoryResource mapReview guideAPI referenceSite contextSitemapProfile resources
4677 matching candidates for Research & Knowledge. Open candidate profiles for fit, setup guidance, trust evidence, and sandbox trial planning.
- 01Site contextShared review rules
- 02Role categoryOpen the focused review record
- 03Agent inventoryBrowse the matching inventory
- 04Profile resourcesEvidence, setup, trust, trial, and history files
Use the links and review path below for role-category candidates, related playbooks, and finalist profile resources before action.
Review route: OpenAI review tools can start with openai.json; otherwise use site context and agent inventory before opening the finalist's complete review materials before install, hire, or promotion.