Pex — Persistent Memory for AI Agents
our AI agents are stateless. Give them persistent memory.
What it does
Pex is a persistent, structured memory layer for AI agents. Install the plugin — your agent reads your project and bootstraps a memory space: architecture, workflows, dependencies, conventions. Every session starts from durable context, not from zero. Agents query memory via MCP: semantic search, dependency tracing, impact analysis. Memory grows automatically as agents work and reflect.
Does the same job
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AgentmemoryMay 2026 · agent-memory.dev · ▲322Persistent memory for Claude Code, Codex & coding agents
- RGRecall: Give Claude memory with Redis-backed persistent contextOct 2025 · npmjs.com · ▲171
Hey HN! I'm José, and I built Recall to solve a problem that was driving me crazy. The Problem: I use Claude for coding daily, but every conversation starts from scratch. I'd explain my architecture, coding standards, past decisions... then hit the context limit and lose everything. Next session? Start over. The Solution: Recall is an MCP (Model Context Protocol) server that gives Claude persistent memory using Redis + semantic search. Think of it as long-term memory that survives context limits and session restarts. How it works: - Claude stores important context as "memories" during…
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
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Launched alongside, March 2026
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Switch from ChatGPT to Claude with import memory feature
AI · Mar 2026 · claude.com
