Correction-first persistent memory for AI agents. MCP server + SDK + CLI. Compounds across sessions.
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Updated
Oct 12, 2026 - JavaScript
Correction-first persistent memory for AI agents. MCP server + SDK + CLI. Compounds across sessions.
AI agent memory you can trust
Curated intelligence layer for generative and agentic AI, translating research into production systems | AditiKhare.com — AI Product Ecosystem
A curated list of tools, frameworks, and resources for AI memory systems.
AI agent memory & infrastructure landscape — comparative catalog of 912 systems × 68 columns covering memory layers, agent frameworks, runtimes, vector stores, knowledge graphs, MCP servers, benchmarks. Searchable with typed edges, lineages, citations.
This is the ProofRay. Your personal system to handle with memory
Mega Brain MCP is a local-first knowledge control plane for software projects. It exposes six stable MCP tools while keeping AgentMemory, Code Review Graph, and Git behind versioned private adapters.
Context hub
Persistent memory and learning system for AI agents and collaborators. Tropelex accumulates knowledge across projects -> patterns, decisions, preferences, so you don't re-explain things twice. It evolves with use and reduces token costs with an on-the-fly prompt compressor.
ThinkPink: The governed assistant. Your machine, your record, your rules.
a from-scratch C++17/Qt port of mem0 — a memory layer for AI assistants. Extracts facts from conversations, stores them in SQLite with FTS5, and retrieves via hybrid semantic + BM25 + entity-boosted search. No Python dependencies.
Hands on Workshop Repo for Cognee (https://www.cognee.ai/) an open-source memory engine for AI apps. It turns your data into a knowledge graph that agents and apps can search, reason over and keep up to date.
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