Mnexium AI
Persistent, structured memory for AI Agents
Mnexium AI launched on January 3, 2026 with 83 votes, #422 of 14,585 launches that month and more than 95% of that year's launches.
What it does
🧠 𝐌𝐧𝐞𝐱𝐢𝐮𝐦 = persistent memory for LLM apps. Add one 𝐦𝐧𝐱 object and get chat history, semantic recall, and user profiles that follow users across sessions and providers. 🔄 Works with 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 and 𝐂𝐥𝐚𝐮𝐝𝐞 — same memories, any model. Switch mid-conversation without losing context. ⚙️ No vector DBs or pipelines. A/B test, fail over, and route by cost — your memory layer stays consistent.
Add persistent memory, chat history, user profiles, records, and live context to AI apps with one API. Built for OpenAI, Anthropic, Gemini, and agent workflows.
Does a similar job
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Second Brain for AIMay 2026 · github.com · ▲286Persistent memory for Claude, ChatGPT & Cursor. Free.
AgentmemoryMay 2026 · agent-memory.dev · ▲310Persistent memory for Claude Code, Codex & coding agents

Personal AI MemoryMar 2026 · ai-memory-beta.vercel.app · ▲106Captures and stores your chat from various AI platforms
AI Memory Layer for ChatGPT and Claude.2025 · teamlayer.xyz · ▲26Shared persistent memory across all your LLMs.
DeltaMemoryFeb 2026 · deltamemory.com · ▲104Most AI agents forget everything between sessions. We built DeltaMemory to fix that. It's a cognitive memory layer that gives agents persistent recall, automatic fact extraction, and temporal reasoning — via a single SDK call. Key numbers: - 89% accuracy on LoCoMo long-term conversation benchmark - 50ms p50 retrieval latency - 97% cost reduction vs raw token re-processing Open source SDKs, works with any LLM stack. Currently in early access. Happy to answer questions about the architecture, benchmark methodology, or how we handle knowledge graphs.
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