0Latency Memory
0Latency Memory is a MCP server that provides persistent agent memory with semantic search and knowledge graphs via hosted SSE.
About
0Latency Memory is a hosted MCP server that gives AI agents a persistent memory layer with fast recall, semantic search, and knowledge-graph-style relationships. developers shipping agent-first products use it when chat context windows are too short to hold customer prefs, prior bugs, or architecture decisions. Registration uses a remote SSE endpoint and a secret API key, so setup is closer to SaaS than running another local container. The value is journey-wide: the same memory can support Build debugging notes, Grow support bots, and Operate incident triage if you model entities consistently. It complements repo-specific tools like code search; it does not replace version control or structured logging. Expect to design what gets stored and tagged so semantic retrieval stays trustworthy.
- 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
0Latency Memory by the numbers
- Data as of Jul 7, 2026 (Skillselion catalog sync)
claude mcp add --transport sse 0latency https://mcp.0latency.ai/mcp?key={api_key}Add your badge
Show developers this MCP server is listed on Skillselion. Paste this into your README.
| Transport | SSE |
|---|---|
| Auth | None |
What it does
Attach sub-100ms persistent memory with semantic search and knowledge graphs so agents remember users and decisions across sessions.
Who is it for?
Best when you're running multi-session coding or customer-facing agents and want managed memory without self-hosting a vector database.
Skip if: Skip if you only need ephemeral chat, strict on-prem-only data, or memory fully inside the git repo.
What you get
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
By the numbers
- Server version 1.0.0
- Remote transport: SSE at mcp.0latency.ai
- Marketed sub-100ms recall for agent memory operations
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FAQ
Who is 0Latency Memory for?
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.