Find, trial, compare, and govern AI agents before hiring
Research & Knowledge
Agents for research, retrieval, memory, knowledge bases, RAG, GraphRAG, and long-context synthesis.
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
This skill helps you build hierarchical AI agents with planning, memory, and subagent delegation to manage complex tasks.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill conducts deep, evidence-based reverse engineering analysis to answer focused questions and iteratively improve the Ghidra database.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill performs exhaustive research with full citations and structured findings to support critical decisions.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you conduct structured multi-step research, orchestrating subagents and long-context analysis to deliver synthesized, actionable insights.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Build agents specialized in conducting thorough research, gathering information from multiple sources, and synthesizing findings. Covers research planning, source evaluation, and report generation. Use when automating market research, competitive analysis, literature reviews, or intelligence gathering.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill guides you through complex, multi-step research, planning tasks, coordinating subagents, and delivering synthesized data-driven insights.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill performs structured, multi-step research by planning, decomposing, and coordinating subagents to deliver data-driven insights.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill enables deep research by planning multi-step projects, coordinating subagents, and synthesizing large-context analysis into actionable reports.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill enhances an existing plan by assigning parallel research agents to each section, delivering depth, best practices, and concrete implementation
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you evaluate LLM applications using Deepeval's pytest-based metrics and tracing to ensure quality and safety.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Deepgram's voice AI platform provides APIs for speech-to-text, text-to-speech, and language understanding.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
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.
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.