[{"data":1,"prerenderedAt":220},["ShallowReactive",2],{"compare-\u002Fcompare\u002Flitmaps-vs-agent-bayes":3,"compare-related-\u002Fcompare\u002Flitmaps-vs-agent-bayes":185},{"id":4,"title":5,"body":6,"cardSummary":100,"category":101,"categoryOrder":102,"chooseOurs":103,"chooseTheirs":109,"description":115,"extension":116,"faq":117,"meta":133,"navigation":134,"order":135,"path":136,"related":137,"rows":141,"seo":178,"stem":179,"tool":180,"toolUrl":181,"updated":182,"verdict":183,"__hash__":184},"compare\u002Fcompare\u002Flitmaps-vs-agent-bayes.md","Litmaps vs. Agent Bayes: Which One Fits Your Research Needs?",{"type":7,"value":8,"toc":91},"minimark",[9,14,18,21,24,28,31,34,37,40,44,51,57,63,69,75,81,85,88],[10,11,13],"h2",{"id":12},"what-litmaps-gets-right","What Litmaps gets right",[15,16,17],"p",{},"Most discovery tools answer a question once. Litmaps keeps answering it. Seed a map with papers you\nalready have, watch it expand into the surrounding citation neighbourhood, and then let it monitor\nfor new work that fits. As of 3 August 2026 the Pro tier at 10 USD a month gives unlimited articles\nand maps with daily configurable alerts, with education pricing on an academic email. The free tier\nholds 100 articles and one map.",[15,19,20],{},"Two design choices deserve credit. Seeding from several papers rather than one handles\ninterdisciplinary topics better than single-seed tools, because your topic may not have a canonical\nstarting paper. And arranging the map by date and citation count communicates how a field actually\ndeveloped, which a force-directed cluster does not.",[15,22,23],{},"Monitoring is the part Agent Bayes has no answer to. If you need to know when something relevant\npublishes, Litmaps is the tool.",[10,25,27],{"id":26},"where-it-stops","Where it stops",[15,29,30],{},"Litmaps works on metadata and the citation graph. It never opens a paper.",[15,32,33],{},"So it can tell you a new study appeared, and that it sits close to work you care about, and that it\nhas been cited eleven times. It cannot tell you what the study found, whether its sample supports\nthe claim, or that it contradicts the paper you built your second chapter on.",[15,35,36],{},"That last one is the real gap. Alerts create work. Every new paper is a question you now have to\nanswer, and the tool that told you about it cannot help you answer it.",[15,38,39],{},"Nor does the map hold anything you concluded. You cannot write a claim into a Litmap, attach\nevidence to it, or come back in a month to see what you decided and why.",[10,41,43],{"id":42},"what-agent-bayes-does-with-the-papers-litmaps-finds","What Agent Bayes does with the papers Litmaps finds",[15,45,46,50],{},[47,48,49],"strong",{},"It reads them."," Each PDF runs through OCR that preserves multicolumn text, tables, figure\ncaptions, footnotes, and headers, then semantic chunking, then distillation into structured bullet\npoints that stand on their own. Those bullet points are always written in English regardless of the\nsource language, so a French or Japanese paper is searchable next to your English ones.",[15,52,53,56],{},[47,54,55],{},"The map holds claims."," The agent writes cited claims into a mindmap and you shape it: rewrite any\nnode, restructure branches, attach or remove citations, embed images, and pin nodes as context for\nthe next instruction.",[15,58,59,62],{},[47,60,61],{},"Every claim carries its page."," Author, year, printed page range, and the exact chunk of source\ntext, opened in a built-in PDF reader at that page.",[15,64,65,68],{},[47,66,67],{},"New evidence does not quietly overwrite old conclusions."," When a paper you just indexed\ncontradicts something already on the map, the competing position appears as a sibling node with its\nown evidence chain rather than replacing what you had. Version history records what changed, and\nyou can replay the agent's edits with additions, deletions, and word-level rewrites highlighted\nbefore you accept them.",[15,70,71,74],{},[47,72,73],{},"Work accumulates."," Projects hold several mindmaps, each with conversation history, a rolling\nversion stack for undo and redo, and named snapshots that sit outside that stack and restore as new\nversions.",[15,76,77,80],{},[47,78,79],{},"You can check yourself."," Select nodes and Agent Bayes reads the full text behind each attached\ncitation, scores how well the evidence supports the claim as written, and tightens phrasing that\noverstates.",[10,82,84],{"id":83},"alternative-to-litmaps-or-the-half-it-does-not-do","Alternative to Litmaps, or the half it does not do?",[15,86,87],{},"Litmaps watches the field and tells you something changed. Agent Bayes holds what you concluded,\nwhat supports it, and what would have to move if the new paper is right.",[15,89,90],{},"Agent Bayes does not search the open literature, does not monitor for new work, and has no free\ntier. Litmaps covers the first two and costs 10 USD a month.",{"title":92,"searchDepth":93,"depth":93,"links":94},"",4,[95,97,98,99],{"id":12,"depth":96,"text":13},2,{"id":26,"depth":96,"text":27},{"id":42,"depth":96,"text":43},{"id":83,"depth":96,"text":84},"Seed a map, then get told when relevant new work appears. Excellent at staying current, and it never reads a paper.","Discovery and citation mapping",3,[104,105,106,107,108],"You have the papers and need to know what they say and where they conflict.","Claims need author, year, and printed page range for a bibliography.","You want to search inside your papers, including footnotes, tables, and appendices.","Your library includes papers in languages other than English.","The project runs long and needs version history, snapshots, and provenance per claim.",[110,111,112,113,114],"Staying current on a topic over months or years is the job.","You want daily configurable alerts, not a one-off search.","Seeding a map from several papers suits an interdisciplinary topic.","A date-ordered map showing how a field developed is what you want to see.","Budget is tight and academic pricing helps.","Litmaps tells you a new paper exists. Agent Bayes tells you what it means for the argument you already built. Monitoring against synthesis, compared.","md",[118,121,124,127,130],{"q":119,"a":120},"Is Agent Bayes a Litmaps alternative?","No. Litmaps does discovery and monitoring over a public citation graph. Agent Bayes does synthesis over the library you built. Replacing Litmaps with Agent Bayes would cost you the alerts and the ability to find papers you do not have.",{"q":122,"a":123},"Does Agent Bayes tell me when new papers appear?","No, and it is not planned. Agent Bayes only reads what is in your knowledge bases. Keep Litmaps or ResearchRabbit for monitoring, then add the papers that matter to a knowledge base when they appear.",{"q":125,"a":126},"What happens when a new paper contradicts something in my map?","Index it, then ask the agent to revisit the relevant branch. Because it is built not to average opposing views, the new position appears as a sibling node next to the existing one, each with its own evidence, rather than quietly rewriting what you had. Version history records the change and you can replay exactly what moved.",{"q":128,"a":129},"Both produce maps. Are they the same kind of map?","No. A Litmap arranges papers by date and citation count so you can see how a field developed. An Agent Bayes mindmap holds claims you can defend, each with citations attached, and you edit it directly. One is a view of the literature, the other is your argument.",{"q":131,"a":132},"Can I use both?","Yes, and the split is clean. Litmaps watches the field. Agent Bayes holds what you concluded and what supports it.",{},true,9,"\u002Fcompare\u002Flitmaps-vs-agent-bayes",[138,139,140],"connected-papers-vs-agent-bayes","researchrabbit-vs-agent-bayes","consensus-vs-agent-bayes",[142,146,150,154,158,162,166,170,174],{"axis":143,"theirs":144,"ours":145},"Question it answers","What exists on this topic, and what is new since last week.","What do the papers I chose actually say, and can I defend it.",{"axis":147,"theirs":148,"ours":149},"What it reads","Metadata and the citation graph. No full-text reading.","Every page of every PDF in your knowledge bases, with layout-preserving OCR.",{"axis":151,"theirs":152,"ours":153},"Output","A Litmap that persists and re-runs, plus a stream of literature alerts.","A mindmap of cited claims with version history, snapshots, and per-node provenance.",{"axis":155,"theirs":156,"ours":157},"Citations","Nodes are papers. There are no claims to cite.","Author, year, printed page range, and the exact source chunk, opened in a built-in PDF reader.",{"axis":159,"theirs":160,"ours":161},"Synthesis","Not offered.","A four-role agent pipeline that retrieves, ranks, writes cited claims, and evaluates the result against your intent.",{"axis":163,"theirs":164,"ours":165},"Disagreement","Not represented. A citation edge does not say whether two papers agree.","Preserved as sibling nodes, each with its own evidence chain.",{"axis":167,"theirs":168,"ours":169},"Monitoring","Daily configurable alerts on a mapped topic. The strongest monitoring in this comparison set.","Not offered. Agent Bayes reads only what you add to a knowledge base.",{"axis":171,"theirs":172,"ours":173},"Free tier","100 articles and 1 Litmap, with a monthly alert summary.","No free tier. Paid plans with metered credits.",{"axis":175,"theirs":176,"ours":177},"Pricing","Free tier, Pro at 10 USD per month or 120 USD per year, with education pricing on an academic email, as of 3 August 2026.","Metered credits charged in 0.25 increments against an inspectable ledger.",{"title":5,"description":115},"compare\u002Flitmaps-vs-agent-bayes","Litmaps","https:\u002F\u002Fwww.litmaps.com\u002F","2026-08-03","Litmaps is the best monitoring tool in this set. Seed a map from papers you already have and it keeps watching for new work that fits, for around 10 USD a month. It does not read papers. Agent Bayes does, and turns them into a mindmap where every claim carries author, year, and printed page. Litmaps tells you a new paper exists. Agent Bayes tells you what it means for what you already wrote.","gqrxSAOy2fTrm1Xmp7KXtR4JrZaGSlXWvsuilKhlW7E",[186,190,193,196,199,203,207,211,215,216],{"path":187,"tool":188,"order":189},"\u002Fcompare\u002Fnotebooklm-vs-agent-bayes","NotebookLM",1,{"path":191,"tool":192,"order":96},"\u002Fcompare\u002Fatlas-vs-agent-bayes","Atlas",{"path":194,"tool":195,"order":102},"\u002Fcompare\u002Felicit-vs-agent-bayes","Elicit",{"path":197,"tool":198,"order":93},"\u002Fcompare\u002Fconsensus-vs-agent-bayes","Consensus",{"path":200,"tool":201,"order":202},"\u002Fcompare\u002Fscispace-vs-agent-bayes","SciSpace",5,{"path":204,"tool":205,"order":206},"\u002Fcompare\u002Fscite-vs-agent-bayes","scite.ai",6,{"path":208,"tool":209,"order":210},"\u002Fcompare\u002Fconnected-papers-vs-agent-bayes","Connected Papers",7,{"path":212,"tool":213,"order":214},"\u002Fcompare\u002Fresearchrabbit-vs-agent-bayes","ResearchRabbit",8,{"path":136,"tool":180,"order":135},{"path":217,"tool":218,"order":219},"\u002Fcompare\u002Fchatgpt-deep-research-vs-agent-bayes","ChatGPT Deep Research",10,1785766064933]