ai-memory-systems

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

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.

A curated list of tools, frameworks, and resources for AI memory systems.

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.

Local-first memory and context recovery for coding agents. Experimental Alpha; no automatic Hook registration.

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.

Context hub

Owner-held, encrypted self improving memory shared across AI coding tools (Claude Code, Codex, Cursor, Antigravity CLI, Kilo Code). Local-first, open source, synced to your own private GitHub,

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.

适用于Hermes Agent的记忆库系统，以图为主要载体