# 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 Full-stack / Indie or ML / AI or Research / Academia, Tagged `markdown`, `memory`: 3 items. > - Full-stack / Indie: General software work: coding-agent workflows, code review, debugging and Git collaboration. > - ML / AI: Model training, evaluation and LLM application development. > - Research / Academia: Literature search and reviews, experimental data analysis, paper writing and submission. - [claude-obsidian](https://hebbmind.com/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/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/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.