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Memori: Memori is agent-native memory infrastructure. It is listed under Development & Code on AI Registry as a free tool.
The tools below are approved listings in the same category, ordered by how closely their tags match Memori. This is an automatic list. We have not written a researched verdict for Memori yet, so treat it as a shortlist and check each vendor's pricing page before switching.
Built from each tool's listing. Vendors can update their own listing after claiming it.
Give your AI a real, persistent memory.
AI Memory Vault is a free memory system for Claude Code published by the creator behind jaredrhod, who shares practical AI setups for business owners. The vault is a folder of plain text files on your own computer: Claude Code reads it at the start of every conversation and writes to it as you work, so the assistant ke...
Aser is a lightweight, self-assembling AI Agent frame.
Aser is an open source Python framework for building AI agents with native Web3 capabilities, developed by Ame Network. It lets developers assemble an agent in a few lines of code by combining a language model with modular components for knowledge retrieval, memory, tracing, reasoning, tools and social clients, and the...
Token efficient Claude Code full Python rebuild.
ClawCodex is an open source coding agent for the terminal, written as a Python native rebuild of the Claude Code architecture that works with many model providers instead of Claude alone. It keeps a genuine tool calling loop, a streaming REPL, persistent sessions and markdown based skills, and puts one runtime in front...
Cognee is the open-source AI memory platform for agents.
Cognee is an open source memory platform for AI agents. It gives agents persistent memory across sessions by combining graph, vector and relational retrieval, so an agent can recall what it did last week, connect facts that live in different systems, and follow domain rules it was never trained on. Developers install i...
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM.
Headroom is a context optimization layer for LLM applications and coding agents. It compresses what an agent reads, including tool outputs, database results, file reads, RAG retrievals and API responses, before the content reaches the model, so the model sees less noise, responds faster and costs less. It is for devel...
Memory for AI agents that learns what is wrong and stops repeating it.
Hippo is a long term memory layer for AI coding agents. It stores lessons from your sessions locally and surfaces them again in later ones, so an agent does not repeat the same deployment mistake or forget a project convention such as which package manager a repository uses. The design borrows from how human memory be...