0Latency Memory
Attach sub-100ms persistent memory with semantic search and knowledge graphs so agents remember users and decisions across sessions.
Overview
0Latency Memory is a MCP server for the Build phase that provides persistent agent memory with semantic search and knowledge graphs via hosted SSE.
What is this MCP server?
- Hosted SSE remote at mcp.0latency.ai with zl_live_ or zl_test_ API key
- Sub-100ms recall positioning with semantic search and knowledge graphs
- Persistent memory across sessions for coding and support agents
- Server schema version 1.0.0 published for MCP clients
- Server version 1.0.0
- Remote transport: SSE at mcp.0latency.ai
- Marketed sub-100ms recall for agent memory operations
What problem does it solve?
Every new agent session forgets prior decisions, users, and fixes, forcing you to re-explain context or maintain ad-hoc markdown dumps.
Who is it for?
Indie builders running multi-session coding or customer-facing agents who want managed memory without self-hosting a vector database.
Skip if: Teams that only need ephemeral chat, strict on-prem-only data, or memory fully inside the git repo.
What do I get? / Deliverables
After adding your 0Latency API key to the remote MCP config, agents can read and write durable memory with sub-100ms-style recall workflows.
- SSE MCP connection to 0Latency hosted memory
- Cross-session semantic recall for agent workflows
- Structured entities in a knowledge-graph-oriented memory layer
Recommended MCP Servers
Journey fit
Memory infrastructure is introduced in Build when shaping the agent but pays off across Grow and Operate as product context accumulates. Agent-tooling is the shelf for MCP layers that extend recall, RAG, and long-horizon agent behavior beyond the chat window.
How it compares
Hosted agent memory MCP, not an in-repo CodeSeeker-style code graph.
Common Questions / FAQ
Who is 0Latency Memory for?
Solo and small teams building agent products who need cross-session recall and semantic memory without operating their own memory stack.
When should I use 0Latency Memory?
Use it when you start agent-tooling in Build and want memory to carry through later Grow support and Operate debugging workflows.
How do I add 0Latency Memory to my agent?
Configure the SSE remote URL https://mcp.0latency.ai/mcp?key={api_key} in your MCP client and supply a zl_live_ or zl_test_ key.