Memory for AI Agents in 6 lines of code

Deploy serverless AI workflows at scale. Firebase for AI agents

Vibe Workflow Platform for Non-technical Creators.

A Claude Code plugin that automatically captures everything Claude does during your coding sessions, compresses it with AI (using Claude's agent-sdk), and injects relevant context back into future sessions.

OpenMemory gives AI agents real long-term memory. Not vector search. Not RAG. Actual memory.

User Profile-Based Long-Term Memory for AI Chatbot Applications.

MCP server enabling persistent memory for Claude through a local knowledge graph - fork focused on local development

Aser is a lightweight, self-assembling AI Agent frame.

A list of AI memory projects

Semantic code searcher and codebase utility with AI memory onboard

Claude forgets everything. This fixes that. 🔗 www.npmjs.com/package/claude-self-reflect

A minimalist MVP demonstrating a simple yet profound insight: aligning AI memory with human episodic memory granularity. Shows how this single principle enables simple methods to rival complex memory frameworks for conversational tasks.

Persistent AI memory for coding assistants - MCP server providing context persistence across sessions for Claude, Cursor, Windsurf. MCP Tools for task tracking, workflow automation, and AI memory. Eliminates context loss between sessions.

Master the art of designing and organizing AI agents. Learn to automate complex, multi-step business processes by creating specialized AI agent teams using the open-source library crewAI.

🧠 LLM-Driven Intelligent Memory & Context Management System （AI记忆管理与智能上下文感知平台） AI记忆管理平台 | 智能上下文感知 | RAG检索增强生成 | 向量检索引擎

Track, sync & share AI coding sessions across your team. Context that survives beyond the chat. Stop re-explaining yourself every session. Currently works with Claude Code.

Augment AI agents with long-term memory through knowledge graph 🧠

Memory server for llms that can be easily integrated to any client.

AutoMem is a graph-vector memory service that gives AI assistants durable, relational memory:

Kaleidoscope is an experimental cognitive architecture for emergent intelligence. It uses an E8 lattice physics engine and an RL-steered LLM to autonomously generate novel theories about complex systems. Features a visualization hub of its internal thought-space.