Agentverse Memory
Persist structured agent memory in a graph store with 33 MCP tools so sessions survive restarts without bloating every prompt.
Overview
Agentverse Memory is a MCP server for the Build phase that provides graph-native persistent memory for AI agents via 33 tools with zero-LLM writes.
What is this MCP server?
- 33 MCP tools for graph-native persistent agent memory per official description
- Zero-LLM writes: memory updates bypass model token cost for structured persistence
- Hosted streamable-http remote with required X-Api-Key header
- Free API key via POST /v1/keys with agent_id per registry documentation
- 33 MCP tools stated in official server description
- Server version 1.0.0 with streamable-http remote on Google Cloud Run
What problem does it solve?
Your agent forgets context every session and stuffing transcripts into the prompt is slow, expensive, and unstructured.
Who is it for?
Indie builders shipping multi-session agents who need structured, long-lived memory on a hosted graph backend.
Skip if: Simple one-off coding tasks where chat history alone is enough or where you cannot send an API key to a remote host.
What do I get? / Deliverables
After you add the server and API key, your agent can read and write graph memory through MCP without paying LLM tokens on each persistence call.
- Authenticated MCP access to graph-native agent memory
- Up to 33 distinct memory operations callable from your agent
- Durable cross-session state without LLM-token writes for each save
Recommended MCP Servers
Journey fit
Agent-tooling in Build is where you add durable memory and tool surfaces; the same memory layer helps Operate when agents keep learning in production. Graph-native memory and zero-LLM writes are agent infrastructure, not frontend UI or generic backend CRUD alone.
How it compares
Graph persistent-memory MCP with 33 tools, not a task-delegation or DeFi pricing server.
Common Questions / FAQ
Who is Agentverse Memory MCP for?
Builders of persistent AI agents who need graph storage and many fine-grained memory tools under MCP.
When should I use Agentverse Memory MCP?
Use it during Build and Operate when sessions must remember entities and relationships across days or deployments.
How do I add Agentverse Memory MCP to my agent?
Register the streamable-http remote URL from the registry, request a key with POST /v1/keys including agent_id, and set the X-Api-Key header in your MCP client.