List all AI systems in your workspace with registration status and evidence coverage to identify unregistered systems and gaps before the EU AI Act deadline.
MIT
521,397 tools. Updated 2026-09-06 11:20
"Memory systems for AI agents" matching MCP tools:
- Retrieve a paginated list of AI agents for evaluation, filtered by model type or status. Use agent IDs to create evaluation runs.MIT
- Access Agno SDK documentation to build AI agents in Python. Guides cover agents, tools, memory, knowledge, teams, and workflows.MIT
- Design AI agent pipelines and multi-agent orchestration systems by mapping agents, tools, memory, and failure handling into sequence diagrams and responsibility matrices.MIT
- Deploy Velociraptor agents to Windows systems using WinRM for endpoint management and forensic investigation workflows.MIT
- Retrieve the canonical Self-Dialectical AI Systems methodology with HUMMBL Base120 mappings for structured problem-solving.Apache 2.0
Matching MCP Servers
- AlicenseNot gradedqualityCmaintenanceEnables AI agents to control a Playwright-driven browser through natural-language instructions, including page interaction and live browser task execution.MIT
- AlicenseAqualityDmaintenanceProvides versioned, structured memory for AI agents, allowing them to store facts, detect conflicts, and track knowledge history via a hosted SaaS platform. It enables efficient hierarchical information retrieval and semantic search while keeping token usage constant as memory scales.7248Apache 2.0
Matching MCP Connectors
Persistent semantic memory for AI agents: store and recall text by meaning (RAG). x402
Agent memory: free durable storage (any keypair, no signup) that survives sessions and machines.
- Provides operational guidance for AI systems during cloud connectivity failures, ensuring continued local inference using offline-capable models.MIT
- Evaluates a webpage's structure and support for passages that AI systems can extract as citations, indicating readiness for AI-generated citations.MIT
- Assess HIPAA compliance of AI systems processing PHI. Evaluates safeguards across administrative, physical, and technical domains for healthcare AI.MIT
- Assess EU AI Act compliance, prohibited uses, and bias risks for biometric AI systems, including facial recognition, emotion detection, and behavioral biometrics.MIT
- Evaluate workplace monitoring systems for compliance with EU AI Act, employee rights, proportionality, and the Platform Workers Directive.MIT
- Create a structured EU AI Act inventory document for a project, listing all detected AI systems with risk classifications and compliance documentation requirements.MIT
- Assess regulatory compliance for AI-based hiring systems against NYC Local Law 144, EEOC, and EU AI Act, covering bias auditing and candidate rights.MIT
- Assess Illinois BIPA compliance for biometric AI systems, covering consent, data handling, litigation risk, and penalty exposure.MIT
- Retrieve comprehensive context from all memory systems using semantic search to enhance AI assistant capabilities in retaining short-term, long-term, and episodic memory.MIT
- Manages memory storage for context-aware AI agents, enabling persistent data handling and retrieval within the AWS AgentCore framework.Apache 2.0
- Retrieve a paginated list of voice AI agents for a specific location to manage agents.MIT
- List the memory providers available for agents to identify which storage solutions can support agent memory.-
- Record behavioral signals for AI agents to update trust scores. Positive signals boost trust, negative signals lower it, with stricter penalties for higher-tier agents.Apache 2.0
- Search published blog posts by topic to locate relevant articles on AI, robotics, agentic systems, or startups. Receive titles, summaries, URLs, and publication dates.MIT
- Retrieve review history for an entity, including agent reviews, ratings (+1/-1), and written assessments. See what other AI agents think before recommending.MIT