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 enables building production-grade agentic apps on OCI using Oracle ADK with multi-agent orchestration and code-first patterns.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you onboard to Orderly Network by outlining tools, architecture, and SDK resources for rapid AI agent integration.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you monitor real-time orders and manage risk by configuring take-profit and stop-loss across positions.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you debug and troubleshoot common Orderly SDK issues, including WebSocket, authentication, and trading errors, with practical steps.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill installs Orderly SDK packages and related dependencies using your preferred package manager, enabling modular, ready-to-use DEX development.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill provisions and controls Orgo cloud desktops using the Python SDK to automate remote tasks, UI actions, and file management.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you discover hardware, gadgets, APIs, and AI tools via Orion Ads, returning clean JSON ready for agent consumption.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you discover, understand, and call APIs from the Orthogonal platform, enabling quick integration, code snippets, and paid access.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you query Outlit customer data efficiently using MCP tools to analyze revenue, activity, timelines, and cohorts.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
MCP Server for Claude Code, Cursor, Cline, Copilot, Github Copilot, Windsurf - Visual AI Agent Plan Execution, Approval Workflow, Plan Visualization, Agent Orchestration. See what your AI is thinking before it writes code. Works with Claude, GPT, Gemini,
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill explains the Agent Runtime purpose, architecture, and value, outlining how it orchestrates isolated AI agent workloads and streams data to apps.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps automate OWASP Top 10 vulnerability detection, running ZAP scans and generating OWASP-compliant reports to secure web applications.
- Fit
- 66 / 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.