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Feature Requests

Research Workspace: Projects, Planning, and AI-Assisted Research
I use Recall as my primary knowledge base and have thousands of saved cards. It's great for capture, but when I need to actually do something with what I've saved — write a research paper, a blog post, build a design brief — I end up routing the work through three or four other tools because Recall has no dedicated space for focused project work. What I'd love is a Project — a named container I can create for a specific research effort, import relevant cards from my KB into, and work from. The key thing is that the project scopes the experience: when I chat, explore connections, or view the graph within a project, it works from those cards only — not my entire KB. On top of that, it would be helpful to have a couple of research-specific tools inside the project: A planning space where I can define my thesis, research questions, and what kind of output I'm building toward (academic paper vs. blog post vs. personal reference). Ideally, the AI helps me think through this. Some kind of source health view that tells me things like: how old is my research on average, am I over-indexed on one source type (e.g., lots of podcasts, no white papers), and where are my gaps by topic. My current workaround: I build my research plan in Claude, have Claude query Recall on my behalf, manually curate cards, copy everything into Notion, organized by sub-question, do supplementary research in NotebookLM, and nothing flows back to Recall. It works, but it's fragmented — and Recall, which holds most of my raw material, ends up being the one tool I'm not actually working inside. I think this would make Recall the natural home for research work, not just research capture.
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Recall Knowledge Base
“Today Card" / Daily Continuous Log for AI Distillation
User Story As a user, I want a persistent, easily accessible "Today Card" where I can frictionlessly log a daily run list of unstructured thoughts, tasks, and moments, so that an AI agent can read, categorize, and distill this information into actionable insights and historical summaries. The Problem Currently, capturing daily fragments—work wins, random thoughts, fleeting memories, and rolling to-dos—requires too much structural overhead. Users need a single, blank-slate daily entry point that removes the friction of organizing information in the moment. Proposed Solution Implement a daily "Today Card" that acts as an open, running log. This card would serve as the raw data feed for an integrated AI agent to process. Key Use Cases & AI Workflows: * The Morning Brief: The AI scans the previous day's unstructured thoughts and incomplete tasks to generate a clean, synthesized morning action plan. * Professional Growth & Impact Tracking: A frictionless way to build a repository of career wins. For example, logging daily instructional design milestones, training deployment metrics, or consulting feedback on the fly. The AI can later aggregate these daily fragments into a comprehensive quarterly review or portfolio summary. * Memory Keeping: A low-pressure space to log life moments (funny quotes, sad events, personal project updates) that the AI can curate into a searchable, long-term personal history. Why this matters: This feature bridges the gap between quick capture and long-term knowledge management. By letting the user brain-dump into a single daily card and offloading the organization to an AI agent, it transforms Recall into a proactive personal and professional assistant.
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Recall Knowledge Base
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