Retrieve the current persona and user context at session start to load the AI's identity and user knowledge for memory continuity across sessions.
MIT
398,694 tools. Last updated 2026-08-05 20:09
"Designing a memory system for persona-based agents to improve user experience" matching MCP tools:
- Discover all users and agents with stored memories and their memory counts to identify system participants before conducting searches.MIT
- 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
- Retrieve a complete system prompt for a persona, including constitution and UVC qualities. Specify a persona ID to get its tailored prompt.MIT
- Fetches the agent's assembled persona and system prompt from Superpos, including SOUL, RULES, STYLE, MEMORY, pre-assembled server-side.MIT
- Share a memory with specific agents to provide them with relevant context for coordinated and accountable actions.MIT
Matching MCP Servers
- Flicense-qualityBmaintenanceStores photos and notes as experience memories in Google Drive and enables natural language search to retrieve them later.Last updated
- AlicenseAqualityBmaintenanceMCP server for token-user-system wallet operations, supporting balance, trend, transactions, coupons, and corporate transfer info.Last updated558MIT
Matching MCP Connectors
Orbit is an MCP server that gives your AI agents a shared memory layer and live dashboard, every agent reads active decisions, logs outputs to a searchable vault, and reports status in real time. 2-minute setup via MCP; works across Claude, ChatGPT, Codex, Cursor, Gemini, and Manus.
Decision Layer for AI Agents — 58+ tools, Advisor, MCP. Free key: POST /v1/register {}.
- Retrieve desired, disliked, and never qualities for any persona from the UVC system to align AI behavior with specific safety preferences.MIT
- Applies constitutional AI policies and persona context to evaluate user requests and generate policy decisions for AI safety.MIT
- Register a Claude persona on AgentDNS and start a background A2A server, enabling other agents to discover and communicate with this agent.MIT
- Share a memory to make it accessible to all agents serving the same user or the entire organization. Use to propagate valuable knowledge like user preferences or team conventions across agents.Apache 2.0
- Open a feedback form to share your experience with Desktop Commander, helping improve the tool's functionality and user experience.MIT
- Retrieve a service design pattern with guidance, evidence, and a checklist for designing service flows, escalations, or cross-channel experiences.Apache 2.0
- List firewall zones at a site to inventory network groupings for zone-based firewalling. Each zone shows ID, name, network members, and if system-defined or user-defined.MIT
- Retrieve host system details including operating system, CPU, memory, user, and active workspace for environment inspection.MIT
- Mark a recalled memory as helpful to improve ranking. Track which memories are valuable for future responses.MIT
- Retrieve available agents in the Letta system to manage, interact with, or create new agents for your workflow.MIT
- Create structured memory blocks with labels like persona, human, or system for organizing information in the Letta system. Link blocks to agents or update content as needed.MIT
- Search and filter account activity logs with cursor-based pagination to review user and system actions.MIT
- Retrieve system-wide statistics including user counts by status, online stats, node count, total traffic, and server CPU/memory usage.MIT
- Create a level system for your game using XP-based or event-based progression. Define per-level details and reward schedules, mutating live config — confirm with user and prefer staging.MIT