Alma keeps your research questions, methodology, literature, findings, and decisions together in one private place. Weeks of context, instantly available — instead of scattered across half a dozen tools.
The noise it replaces
Scattered context — Notes in one tool, papers in another, AI conversations in a third, none of them aware of each other
Re-loading by hand — Pasting your research question, methodology, and key findings into each new tool you open
Citation tracking — Hallucinated references, lost sources, no audit trail for research claims
No place for it to compound — Insights stranded in isolated chats instead of building on each other
How Alma Solves It
Persistent Memory — Remembers research questions, methodology, key papers, findings, and decisions across sessions
Environments — Separate memory per research project, grant, or collaboration
Web Search — Real-time search with AI summaries and cited sources
Deep Research — Multi-source analysis for comprehensive literature reviews
Export — DOCX, PDF, XLSX for papers, reports, and data tables
Research Workflow
Week 1: Define research question, Alma remembers methodology preferences. Week 4: 50 papers reviewed, Alma tracks findings and contradictions. Week 8: Writing phase with 200+ memories assembled automatically. Week 12: Revision with reviewer feedback tracked and mapped.
Comparison
Elicit: paper discovery only, no cross-session memory. Consensus: evidence search, no personal memory. NotebookLM: source-grounded but siloed per notebook. ChatGPT: ~1,200 words memory, no project separation. Alma: persistent knowledge graph, structured memories, multi-environment, exportable.