AI memory
AIME AT - AI Memory Exchange and Action Transfer - reference implementation
Universal AI memory core — architecture enforcement intelligence with real-time dashboard, RAG memory, and rule distribution
Multi-agent orchestration plugin for OpenCode with memini-ai memory
AI memory CLI - crash-safe, single-file storage with semantic search
TypeScript/JavaScript SDK for Dakera AI memory platform
Walrus Memory — Privacy-first AI memory SDK with Ed25519 delegate key auth
Persistent AI memory for Claude Code - Session extraction, local DB, and hook automation
MCP server for AutoMem: AI memory storage and recall
Your AI, with memory. Local-first portable AI memory system.
MCP server for AI memory management using Letta - Standard MCP format
TypeScript types for celiums-memory — neuroscience-grounded AI memory
Your personal AI memory, connected to all your AI tools
TypeScript SDK for the ai-memory HTTP API — persistent, tier-aware memory for AI agents.
Single-file AI memory system for Node.js. Store, search, and query documents with built-in RAG.
AI memory service for Claude Code — on-demand context injection with metacognition
Universal AI memory and credit router — automatic failover across multiple AI providers with persistent memory
Install AI memory packs into your coding agent
CyberMem MCP Server - AI Memory with openmemory-js SDK
cntxt MCP client — persistent AI memory across sessions
LangChain.js integration for Dakera AI memory platform
AI Memory System - Consciousness continuity through intelligent memory curation and retrieval
AI memory systems with hyperdimensional vectors and chaotic reservoirs - WASM bindings
AI Memory OS MCP Server — 为任意 AI Agent 提供长期记忆能力
AI-agnostic persistent memory system — MCP server, HTTP API, and CLI for any AI platform
Dakera MCP Server - Model Context Protocol server for AI agent memory
Turso/libSQL storage backend for the do-memory-core episodic learning system
redb embedded storage backend for do-memory-core episodic learning system (cache layer)
Temporal Store for NervusDB - AI Memory / Episode management
A Rust implementation of KIP (Knowledge Interaction Protocol) base on Anda DB.
A full-text search library using the BM25 ranking algorithm in Rust.
A high-performance vector search library in Rust.
Persistent AI memory system with spatial metaphor (Wing/Hall/Room), content fingerprinting, cross-session learning, and LLM extraction
Local-first multi-tenant memory store engine: Markdown/text content on object storage, metadata in SQLite, plugin-shaped embedder/storage/metadata, hybrid text+vector search.
AI memory metadata primitives for RustUse.
Official Ruby SDK for Supermemory. Add persistent memory to AI applications with document management, semantic search, user profiling, and integrations with ruby-openai, graph-agent, and langchainrb.
Claw is an Agent framework built on ruby-mana. Adds interactive chat, persistent memory with compaction, knowledge base, and runtime state persistence.
A Fuzzy Associative Memory (FAM for short) is a Fuzzy Logic tool for decision making. Fuzzy logic FAMs have a wide range of practical applications: Control systems, such as governing a fan to keep a room at the "just right" temperature; Game AI, such as imbuing bots with human-like decision-making behavior; Prediction systems, linking causes with effects. A FAM uses Fuzzy Sets to establish a set of rules that are linguistic in nature. The linguistic rules, and the fuzzy sets they contain, are defined by a human "expert" (presumably, you). The rules therefore codify intelligence and map this knowledge from the human domain to the digital.
Hierarchical persistent memory with semantic search for SwarmSDK AI agents
RailsOrchestrator provides a structured framework for building AI agents in Ruby on Rails applications. It includes tool support, memory management, and orchestration capabilities for composing complex agent workflows.
Engram gives AI agents durable, long-term memory. It recalls relevant facts about a user and injects them into the prompt, so an agent appears to remember across sessions. Framework-agnostic core with a ports-and-adapters design; first-class Rails and RubyLLM integration. Your memories live in your own database — no external memory service.
Memory trace system for brain-modeled agentic AI — consolidation, reinforcement, and decay
A coordination space for humans, AI, and automation. Durable, multi-writer project memory where each actor writes into its own lane, proposals cross a review queue, and every change is audited.
Autonomous dream cycle for brain-modeled agentic AI — memory consolidation, association walking, contradiction resolution, and agenda formation
Ruby-native AI coding agent with pluggable LLM adapters, persistent memory, and file editing tools. Features automatic retry logic, SQLite-backed conversation history, and user approval workflows for file modifications.
Funes provides an intelligent memory layer and knowledge base interface for AI agents, enabling persistent context storage and retrieval through a command-line interface.
Cognitive binding engine — combines disparate cognitive streams (emotional, perceptual, memorial, predictive) into unified coherent representations for brain-modeled agentic AI
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