# Tools > Every listed resource, editors’ picks first. The filters below can be combined. - Search: append `?q=` to the URL. Separate several keywords with spaces; all of them must match. Matches name, repository, tags, professions, description and README. - Filter by type: append `?type=` to the URL. - Filter by profession: append `?profession=` to the URL. Separate several ids with commas; a resource matches when it suits any of them. Ids are listed at https://hebbmind.com/api/v1/professions - Filter by tag: append `?tag=` to the URL. Separate several tags with commas; a resource must carry all of them. Tags are listed at https://hebbmind.com/api/v1/tags Resources for ML / AI or Writing / Content, Tagged `memory`: 15 items. > - ML / AI: Model training, evaluation and LLM application development. > - Writing / Content: Writing and editing articles, books, technical docs and social content. - [Knowledge Graph Memory Server](https://hebbmind.com/de/mcp/memory.md): [MCP] Gives agents long-term memory across sessions with a local knowledge graph of entities, relations and observations, stored in a local JSONL file you can query and edit. Official MCP reference implementation. - [Hermes Agent](https://hebbmind.com/de/cli/hermes-agent.md): [CLI] Self-improving agent from Nous Research with built-in memory and a learning loop that turns experience into skills. Works with any model provider; the hermes command has a terminal UI, and a gateway connects it to Telegram, Slack and more and runs scheduled tasks. - [Ruflo](https://hebbmind.com/de/plugin/ruflo.md): [Plugin] Multi-agent orchestration framework for Claude Code and Codex, formerly Claude Flow: swarm coordination, self-learning memory and cross-machine federated communication. The marketplace offers 30+ plugins; full features need npx ruflo init. - [Ruflo](https://hebbmind.com/de/cli/ruflo.md): [CLI] Multi-agent orchestration framework formerly called Claude Flow: ruflo init gives Claude Code nearly 100 specialized subagents, swarm coordination, cross-session vector memory and hooks; add --codex to configure Codex instead. Also works as a standalone MCP server or plugin marketplace. - [Cognee MCP](https://hebbmind.com/de/mcp/cognee-mcp.md): [MCP] Runs the cognee memory engine as an MCP server whose remember, recall and forget tools write documents and conversations into a knowledge graph and vector store for cross-session retrieval. Start it with Docker or uv first; needs an LLM API key by default, or connect to Cognee Cloud. - [Graphiti MCP Server](https://hebbmind.com/de/mcp/getzep-mcp-server.md): [MCP] Writes conversations and business data into Graphiti's temporal knowledge graph so agents can retrieve long-term memory by entity, fact and time. Open source from Zep; start FalkorDB or Neo4j and the server with Docker first, and configure an LLM API key. - [Screenpipe MCP Server](https://hebbmind.com/de/mcp/screenpipe-mcp.md): [MCP] Continuously records your screen and audio locally, extracting on-screen text and transcribing speech, so agents can search pages, docs and meetings you saw and summarize your day. Data stays local. Needs screenpipe running: source is free for personal use, desktop app is a subscription. - [Agent Skills for Context Engineering](https://hebbmind.com/de/plugin/agent-skills-for-context-engineering.md): [Plugin] Context and harness engineering skills covering context compression and optimization, multi-agent architectures, memory systems, tool design and LLM-as-judge evaluation, activated automatically by task. Aimed at building production-grade agent systems. - [Agent Skills for Context Engineering](https://hebbmind.com/de/skill/agent-skills-for-context-engineering.md): [Skill] Context and harness engineering skills: context fundamentals, degradation diagnosis and compression, multi-agent architectures, memory systems, tool design, LLM-as-judge evaluation and self-improvement loops. Focused on principles and design patterns, not tied to any agent platform. - [claude-obsidian](https://hebbmind.com/de/plugin/claude-obsidian.md): [Plugin] Turns an Obsidian vault into a local-first knowledge base: imports sources into interlinked notes with citations, answers questions from what is already in the vault, and adds 15 skills including search, vault health checks and Canvas knowledge graphs. - [Basic Memory](https://hebbmind.com/de/mcp/basic-memory.md): [MCP] Stores agent memory as local Markdown notes that both people and AI can read, write, search and link, and you can open them directly in Obsidian. Local-first, open source and free, with a paid cloud sync option. - [Ars Contexta](https://hebbmind.com/de/plugin/arscontexta.md): [Plugin] Learns your domain and working style over a few rounds of conversation, then generates a personalized Markdown knowledge system (folders, note templates, processing pipelines, hooks and maps) so agents remember knowledge across sessions. First setup takes about 20 minutes and is token-heavy. - [MCP Memory Service](https://hebbmind.com/de/mcp/mcp-memory-service.md): [MCP] Self-hostable long-term memory for agents, offering MCP, a REST API and a web dashboard: semantic search, knowledge graph and automatic memory consolidation. Embeddings are computed locally; choose SQLite, Cloudflare or Milvus as the backend. - [Qdrant MCP Server](https://hebbmind.com/de/mcp/mcp-server-qdrant.md): [MCP] Uses the Qdrant vector database as a semantic memory layer for agents: store information and retrieve it by meaning, connecting to a remote instance or a local path, with FastEmbed generating embeddings by default. Maintained by Qdrant. - [Chroma MCP Server](https://hebbmind.com/de/mcp/chroma-mcp.md): [MCP] Chroma's official MCP: lets agents create and manage collections, add documents, and retrieve them with vector search, full-text search and metadata filters. Connects to in-memory or local persistent stores, self-hosted instances or Chroma Cloud.