# Memory

## Articles
- [Supercharging Claude Code DX: Solving Context Bloat and AI Amnesia with Graphify and Ogham MCP](https://levelup.gitconnected.com/supercharging-claude-code-dx-solving-context-bloat-and-ai-amnesia-with-graphify-and-ogham-mcp-6f8d5b414081)
- [How I Finally Sorted My Claude Code Memory](https://www.youngleaders.tech/p/how-i-finally-sorted-my-claude-code-memory)

## Libraries

- [ogham-mcp/ogham-mcp](https://github.com/ogham-mcp/ogham-mcp) - Shared memory MCP server — persistent, searchable, cross-client Claude, Opencode
- [thedotmack/claude-mem](https://github.com/thedotmack/claude-mem) - Persistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, OpenCode + More
- [topoteretes/cognee](https://github.com/topoteretes/cognee) - Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory across sessions with a self-hosted knowledge graph engine.
- [open-metadata/OpenMetadata](https://github.com/open-metadata/OpenMetadata) - The Open Context Layer for Data and AI , OpenMetadata is the open platform for building trusted data context and business semantics for humans, AI assistants, and agents.
- [mem0ai/mem0](https://github.com/mem0ai/mem0) ⭐ - Universal memory layer for AI Agents
- [EverMind-AI/EverOS](https://github.com/EverMind-AI/EverOS) - One portable memory layer for every AI agent: local-first, Markdown-native, user-owned, and self-evolving across apps, tools, and workflows.
- [supermemoryai/supermemory](https://github.com/supermemoryai/supermemory) ⭐ - Memory and context engine + app that is extremely fast, scalable, and can be run fully locally. The Memory API for the AI era.
- [basicmachines-co/basic-memory](https://github.com/basicmachines-co/basic-memory) - AI conversations that actually remember. Never re-explain your project to your AI again
- [NevaMind-AI/memU](https://github.com/NevaMind-AI/memU) - Personal memory for agents - fast memory retrieval, self-evolving skills, and lower cost
- [zilliztech/memsearch](https://github.com/zilliztech/memsearch) - A persistent, unified memory layer for all your AI agents (e.g. Claude Code, Codex), backed by Markdown and Milvus.
- [joslat/agent-memory-dotnet](https://github.com/joslat/agent-memory-dotnet) - An independent .NET implementation of a Neo4j-backed memory provider for AI agents. Persistent graph-native memory for Microsoft Agent Framework, with GraphRAG interoperability for Neo4j.
- [rohitg00/agentmemory](https://github.com/rohitg00/agentmemory) - Persistent memory for AI coding agents based on real-world benchmarks
- [Asymptote-Labs/agent-beacon](https://github.com/Asymptote-Labs/agent-beacon) - The cross-harness self-improving memory layer for AI agents.