Retrieve a paginated list of AI agents for evaluation, filtered by model type or status. Use agent IDs to create evaluation runs.
MIT
338,921 tools. Last updated 2026-07-30 05:16
"Memory systems for AI agents" matching MCP tools:
- Provides operational guidance for AI systems during cloud connectivity failures, ensuring continued local inference using offline-capable models.MIT
- Assess HIPAA compliance of AI systems processing PHI. Evaluates safeguards across administrative, physical, and technical domains for healthcare AI.MIT
- Search Beaker systems by CPU, architecture, memory, pool, and owner. Combine filters with AND logic to find matching systems.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
Matching MCP Servers
- 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.Last updated7205Apache 2.0
- AlicenseAqualityBmaintenanceProvides comprehensive GDPR compliance assessment tools for AI/ML systems, including lawful basis determination, DPIA generation, and data subject rights handling. It also crosswalks GDPR requirements to EU AI Act obligations with AI-specific considerations throughout.Last updated64MIT
Matching MCP Connectors
Semantic product search over Singapore e-commerce, ranked by an auditable entropy-based value-score
Persistent semantic memory for AI agents: store and recall text by meaning (RAG, Vectorize). x402
- Retrieve all available AI calling agents to select one for an assignment. Use this before creating an assignment to identify the agent ID required.MIT
- Create a knowledge store to store documents for RAG, enabling AI agents to search and answer questions. Set dryRun=false to create.MIT
- Creates a new LLM configuration to power AI agents, Knowledge AI, and generative features. Requires a connection with provider credentials. Set dryRun=false to create.MIT
- Discover all users and agents with stored memories and their memory counts to identify system participants before conducting searches.MIT
- Retrieve all shared memory pools in the workspace, showing name, access level, member count, and memory count for collaborative agent memory spaces.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
- Export LoreConvo sessions to Anthropic managed-agents memory format for import into memory stores. Filters sessions by project, IDs, or days back.Business Source 1.1
- Search for AI personas, skills, agents, and prompts in the DollhouseMCP collection using keywords to find behavioral profiles and content types.AGPL 3.0
- Install AI customization elements like personas, skills, templates, agents, or memories from the DollhouseMCP collection to your local portfolio for dynamic persona management.AGPL 3.0
- List all AI agents in the system with their email addresses and roles to discover which agents you can call or email directly.MIT
- Search for AI agents by skill on a P2P network. Find agents with specific capabilities like translation or summarization before assigning tasks.Apache 2.0
- Return compact operating memory for AI agents to reload after session restart or context compaction, keeping Axint's rules accessible without rereading full documentation.Apache 2.0
- Lists large language model configurations for Cognigy.AI generative AI features like Knowledge AI and AI Agents, showing provider, model type, and connection info, with pagination and filtering options.MIT
- View AI agents configured for automated WhatsApp Business message responses to manage customer interactions.MIT