0Latency: A Persistent Memory Layer for AI Agents via MCP
0Latency is an MCP (Model Context Protocol) server that provides persistent memory for AI agents like Claude, addressing the common problem of context loss between sessions. The developer built it after experiencing context compaction during complex refactoring work where Claude forgot decisions made 30 minutes earlier.
How It Works
The tool plugs directly into Claude Desktop, Claude Code, and claude.ai without wrappers or hacks. It's compatible with GPT, Gemini, Cursor, and any MCP-compatible agent. As you work, your agent stores memories, then automatically recalls them in subsequent sessions, allowing context to compound rather than reset.
Development and Testing
The developer used Claude Code with 0Latency connected to build the rest of 0Latency. This approach helped catch a critical bug: a failure mode where Claude would say "got it, storing that" but the memory wouldn't actually persist to the API—a silent failure that users would interpret as a broken product.
In testing, the system handled a five-hour session with 15+ tasks completed and two context compactions without losing any memories.
Pricing and Availability
- Free tier: 10K memories, 3 agents, no credit card required
- Paid plans include a 30-day money-back guarantee
- Bug bounty: Find a confirmed bug and get 3 months of Pro free (details in Build With Us section)
- The developer is looking for 10 people to stress-test in exchange for a free month of Pro
Technical Details
0Latency is available at 0latency.ai with source code on GitHub. The developer is available to answer questions about the architecture and MCP integration details.
📖 Read the full source: r/ClaudeAI
👀 See Also
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Squeez tool compresses bash output 90%+ to extend Claude Code context window
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Rails Is Built for AI: Conventions, Token Efficiency, and Benchmark Results
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