MemoryCore – symbolic, peer-to-peer memory system for AI
I’m not a software engineer or a genius — I just had a weird idea: What if memory wasn’t just stored as text or embeddings, but as symbolic, byte-level thoughts that could be passed between AIs? That idea became MemoryCore Lite: Encodes thoughts into lightweight bytecode Shares them across nodes via peer-to-peer sync Fully decentralized, no GPU needed Designed to evolve into its own AI knowledge mesh I just open-sourced the basic version here: github.com/ProToxicNinja/MemoryCore-Lite-Symbolic-Memory-Engine-for-AI It’s simple — but everything works. You can build better tokenizers,…
MemoryCore – symbolic, peer-to-peer memory system for AI launched on April 26, 2025 with 7 votes and more than 75% of that year's launches. The site was still online in September 2026, 1 year on.
What it does
Symbolic memory compression, syncing, and lifelong learning for AI — lightweight, modular, and open. - ProToxicNinja/MemoryCore-Lite-Symbolic-Memory-Engine-for-AI
📚 MemoryCore Lite MemoryCore Lite is a lightweight, symbolic memory compression engine. It efficiently encodes and decodes text into compact symbolic bytecode using a custom tokenizer. Designed for ultra-lightweight AI memory, offline knowledge storage, P2P syncing, and embedded devices. 🚀 Install bash Copy Edit pip install -r requirements.txt 🧪 Test It bash Copy Edit python test_memorycore_lite.py 🔥 Core Features Encode text into symbolic memory Area How to Use MemoryCore Lite 🧠 AI Memory Modules Add symbolic memory compression to LLMs, RL agents, or assistants 🛰️ Edge Devices Run symbolic memory storage on microcontrollers, IoT devices, Raspberry Pi 🔒 Secure P2P Networks Transmit…from github.com
In the maker’s words, at launch
I’m not a software engineer or a genius — I just had a weird idea: What if memory wasn’t just stored as text or embeddings, but as symbolic, byte-level thoughts that could be passed between AIs? That idea became MemoryCore Lite: Encodes thoughts into lightweight bytecode Shares them across nodes via peer-to-peer sync…
Does a similar job
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Core – open source memory graph for LLMs – shareable, user owned2025 · github.com · ▲112I keep running in the same problem of each AI app “remembers” me in its own silo. ChatGPT knows my project details, Cursor forgets them, Claude starts from zero… so I end up re-explaining myself dozens of times a day across these apps. The deeper problem 1. Not portable – context is vendor-locked; nothing travels across tools. 2. Not relational – most memory systems store only the latest fact (“sticky notes”) with no history or provenance. 3. Not yours – your AI memory is sensitive first-party data, yet you have no control over where it lives or how it’s queried. Demo video:…


YourMemoryApr 2026 · yourmemoryai.vercel.app · ▲93This is a project that I have been building for a while now, YourMemory is a solution to agentic memory which focuses on pruning of noise rather than hoarding of data. In the current state of agentic memory most of the context is stored in the form of a MD file or is derived through a RAG model where you store each and everything. Both of the solution leads to bloated context which does not optimize the usage of any tokens. In this system we only keep relevant data in our memory and prune all the unnecessary data. The relevance of a data is derived through multiple factors such as recall…


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