Memento AGI
OpenMemory MCP
Memory
MEMANTO
Memno
MemU.pro
CheepCode
Memento is a cloud-native memory system for coding agents. Memories are stored as a hierarchical knowledge graph of plain-English nodes, with semantic, keyword, and graph recall. Memory persists across sessions, IDEs, and machines, can be shared with a team, and is browse-able and editable in a web dashboard.
Memento AGI CheepCodeMemento AGI's answer
Most AI memory tools are a flat vector store or a compressed session summary. Memento AGI is a hierarchical knowledge graph of plain-English memory nodes, which unlocks four things no other memory product offers together:
Triple-strategy recall. Semantic similarity, keyword matching, and knowledge-graph traversal run in parallel. The right memory surfaces whether your query matches the words, the meaning, or just the part of the system you are working in.
Transparent and editable. Every memory is a readable markdown node in a web dashboard. Open it, read exactly what your AI thinks it knows, correct what is wrong, delete what is stale, upload your own knowledge. No black-box embeddings, no opaque summaries.
Cross-IDE, cross-machine, cross-session. Memory lives in the cloud and follows you. Cursor today, Claude Code tomorrow, the same recalled context in both. Your AI picks up exactly where it left off on any machine.
Team-shareable. Memories can live in a team scope so every teammate's AI can recall them too. A new developer's AI shows up on day one already knowing the architecture, the conventions, and the tribal knowledge.
Under the hood: patent-pending hierarchical context architecture, tiered summaries (one-sentence, key-points, full) so the model spends only the tokens it needs, and an end-of-session /sleep command that consolidates the day into long-term memory, a quiet parallel to how biological brains turn experience into lasting knowledge.
Memento AGI's answer
Most AI memory tools are either a flat vector store, an opaque session summary, or a single local file. Memento AGI is the only one that combines a hierarchical knowledge graph, triple-strategy recall (semantic + keyword + graph), transparent plain-English memory nodes you can edit in a web dashboard, cross-IDE cloud sync, team-shareable scope, and proactive hooks that remember and consolidate without you asking.
Memento AGI's answer
Software developers who use AI coding assistants (Cursor, Claude Code, Windsurf) on real codebases and are tired of re-teaching the AI every session. Also: engineering teams that want shared context, and indie hackers running long, multi-week projects where memory compounds.
Based on our record, CheepCode seems to be more popular. It has been mentiond 1 time since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
If you like that workflow you might love CheepCode[0] which I built specifically to support it! CheepCode connects to Linear and works on tickets as they roll in, submitting PRs to GitHub. [0] https://cheepcode.com. - Source: Hacker News / about 1 year ago
OpenMemory MCP - Your private, local memory layer for all AI tools
Memory - Self-hosted and open source note-taking app focused on minimalism and efficiency. Offers simple folder organization, keyboard shortcuts, instant URL formatting, and local media storage under /notes, reducing complexity in organizing thoughts.
MEMANTO - An open source memory layer for building, scaling, and deploying AI agents with persistent semantic recall in production.
Memno - AI with perfect memory and no hallucination
MemU.pro - MemU is an agentic memory layer for LLM applications, designed for AI companions with higher accuracy, faster retrieval, and lower cost. Open-source AI memory framework.