prometh-ai

We raised $7.5M seed led by Pebblebed! Learn more.Your browser does not support the video tag.Knowledge engine that learnsAI Agents that adapt and learn from your feedbackTalk to UsSign Upcognee14,654SDK runs today: 81,654Used by engineers fromFrustrated with RAG?vs.RAGAdd ontologiesImproves over timeCreates new knowledgeLacks understandingAccuracy fallsRecall plummetsFrustrated with RAG?Add ontologiesImproves over timeCreates new knowledgevs.RAGLacks understandingAccuracy fallsRecall plummetsWhat Can You Build with Cognee?Vertical AI AgentsUnify Data SilosLocal Agent MemoryDomain-smart copilots that learn & adaptSits behind your agent as the retrieval and reasoning core.Replaces custom knowledge graphs and vector stores with one platform.Learns from feedback, updates concepts and synonyms, and executes multi-step tasks with explanations.Cognee turns your data into a living knowledge graphLearns from feedback, and auto-tunes itself to deliver better answers over time.Learn MoreSelf-ImprovementData Warehouse▲Data Ingestion38+ data types▲Agentic frame-works+12 native integrations▲▲Cognee memory engineContext curationPersonalizationTool managementOntology mapperCustom data modelAgentic isolationMemory managementSession management▲Vector databasesModelsGraph databases29+ option → Bring your ownData Warehouse▲Data Ingestion.pdf.docs.xlsx.mp3.png30+ data types▲Cognee memory engineContext curationPersonalizationTool managementOntology mapperCustom data modelAgentic isolationMemory managementSession management▲▲▲Agentic frameworksSkills managementTool cachingReasoning distillationReduced planning timeDecreased context bloat+6 native integrationsVector databasesModelsGraph databases+ 17 options → Bring your ownTrusted in productionFrom regulated industries to startup stacks, Cognee is deployed in production and delivering value now.Case studiesB2CEnabled policymakers to get answers they can trust from hundreds of PDFs.100%LLM-ready dataB2C40,000 students connected with.100%AccuracyTier 1 US BankB2CUnified scattered credit card data into one knowledge graph with vectors for precise, cited answers.100%AccuracyYou're in good companyTestimonials from Cognee's power users.Gregor WeberVP & Co-Founder at KnowunityWe tried understanding the proximity and relationships of our users before, but SQLs got out of hand and embeddings were too sparse. With cognee, we managed to get a POC done in 2 days on 40 000 students from Bremen.Mobile Computing Software ProductsOrr KowarskyCEO at DynamoCognee helped us enrich the data for thousands of our customers and provide them with personalized support better suited to their needs. The cognee team built and deployed the entire solution within a month.Software DevelopmentInvestorsCognee is the fastest way to start building reliable Al agent memory.Try Cognee CloudTalk to UsLooking for a custom deployment? Chat with our engineers!Contact us --- We raised $7.5M seed led by Pebblebed! Learn more.Simple Pricing for Every TeamPricingFreeFor developers exploring CogneeFreeBuild and run memory workflows with tasks and pipelinesAuto-generate knowledge structures from your dataIntegrated evaluationsMore than 28 data sources supportedCommunity supportTry for FreeDeveloperFor individual developers working with Cognee$35/per month1,000 documents or 1 GB of data includedEverything in Free, plus...1 userFully hosted on AWS, GCP, and AzureComprehensive API endpointsAutomated scaling and parallel processingAutomatic updates10,000 API calls includedTop-up packs available+1,000 docs (~1 GB) — $35+3,000 docs (~3 GB) — $100+15,000 docs (~15 GB) — $750Sign UpPopularCloud (Team)For small teams working with Cognee$200/per month2,500 documents or 2 GB of data includedEverything in Developer, plus...10 usersMulti-tenant architectureAbility to group memories per user and domainDedicated Slack channel10,000 API calls includedTop-up packs available+1,000 docs (~1 GB) — $35+3,000 docs (~3 GB) — $100+15,000 docs (~15 GB) — $750Sign UpOn-Prem (Enterprise)For companies that need dedicated infrastructure, full data control, and hands-on supportCustomEverything in Cloud, plus...On-prem or private cloud deploymentSecurity, data isolation, and optimal latencyDedicated architecture reviewPremium Support Plan / SLAAccess to AI FDE EngineersRoadmap prioritizationTalk to UsCognee is the fastest way to start building reliable Al agent memory.Try Cognee CloudTalk to UsLooking for a custom deployment? Chat with our engineers!Contact us --- We raised $7.5M seed led by Pebblebed! Learn more.Your browser does not support the video tag.Open Source is Our DNACognee makes your data structured, searchable, and production-ready — powering real-time intelligence with a growing community behind it.We're a passionate group based in Berlin, driven by a shared challenge: simplifying AI data management.The Team Behind CogneeA global team united by a passion for open, intelligent systems.Contact usVasilije MarkovicCEO & FounderWe're backed by leading investors and building together with a growing developer community.PinkyChief Barketing OfficerPinkyChief Barketing OfficerLazar ObradovicData Science LeadLaszlo HajduSoftware EngineerHande KafkasGrowth EngineerIgor IlicSoftware EngineerAleksandra KurganovaDesignerAndrej MilicevicSoftware EngineerVincent PistorVP CommercialLuca StromannFounder's AssociatePavel ZorinPlatform LeadVeljko KovacHead of FDENemanja BibicHead of GrowthCommunity-Backed DevelopmentCollective intelligence driving the future of AI infrastructure Social Media1m+impressionsAsk Cognee92.5%answer relevanceGitHub9.5kstarsPipeline runs300kper monthContributors80+ Social Media1m+impressionsOur officesBerlinKreuzbergSan FranciscoCA 94103Contact Usinfo@topoteretes.comLegal NoticeProviderTopoteretes UG (haftungsbeschränkt) Schonhauser Allee 163 10435 Berlin, GermanyBerlin Office:Paul-Lincke-Ufer 39-40, Hof 4 10999 Berlin, GermanySan Francisco Office:40 Boardman Pl San Francisco, CA 94103, USARepresentativeVasilije Markovic (Managing Director)Company DetailsRegistered at Amtsgericht Charlottenburg HRB 252065BTrademark:Cognee is a registered trademark of Topoteretes UG (haftungsbeschränkt). All rights reserved. --- We raised $7.5M seed led by Pebblebed! Learn more.< backCognee NewsFeb 19, 20265 minutes readShareFeb 19, 20265 minutes readCognee Raises $7.5M Seed to Build Memory for AI AgentsVasilije MarkovicCo-Founder / CEO Today, I am proud to announce that Cognee has raised a $7.5 million seed round led by Pebblebed, with participation from 42CAP and Vermilion Ventures, and angel investors from Google DeepMind, n8n, and Snowplow. Pebblebed is led by Pamela Vagata, co-founder of OpenAI, and Keith Adams, founder of Facebook AI Research Lab. They've built foundational AI infrastructure before, and they see what we see: agents need real memory to be real products. The Foundations of AI Memory Before starting Cognee, I spent over a decade in big data engineering. Then I went back to study cognitive science and clinical psychology. I wanted to understand how memory actually works: how humans organize experience into knowledge, how we retrieve the right context at the right time. Around that time I tried using vector search, and immediately got an idea. My team and I started Cognee in Berlin in 2024 with a simple question: why do AI agents forget everything between sessions? Teams were duct-taping RAG pipelines, vector stores, rules engines, and logs. They still had hallucinations and shallow outputs. We decided to start from first principles, drawing on knowledge engineering, cognitive science, and the work of researchers at UC Berkeley and Brown. Cognee is what came out of that: a memory engine that takes agents from zero to working memory, bootstrapping durable knowledge from raw data, and enabling it to dynamically update itself over time. From Trending Repo to Production In 2025, Cognee went from an open-source experiment to production infrastructure. Our pipeline volume grew from roughly 2,000 runs to over one million. That's 500x in a single year. Today, Cognee is running live in more than 70 companies. As of 2026, Bayer has been using Cognee to power scientific research workflows. The University of Wyoming built an evidence graph from scattered policy documents with page-level provenance. Moreover, Dilbloom and dltHub integrated Cognee into their stacks to bring structured memory to their users. Currently, our open-source project has over 12,000 GitHub stars with 80+ contributors, and we graduated from the GitHub Secure Open Source Program last August. Agents Need Memory Building AI agents across these teams taught us three things: Stateless agents hallucinate and forget. Without memory, every conversation starts from scratch. Teams spend more time patching context failures than building features. Good memory needs structure. Retrieval alone is not enough. Agents need temporal awareness, entity relationships, feedback loops, and the ability to self-tune. The agentic era demands a new primitive. Agents must store, recall, and reason over experience. Documents are inputs. Memory is what agents actually build on. AI Memory is a category, not a feature. The investors backing this round, people who built OpenAI and Facebook AI Research, are on board with our vision. What Cognee Does Say you're building an agent that needs to learn from every interaction. It should connect facts, track how knowledge evolves, and get more accurate over time. You shouldn't have to hand-wire every relationship. Cognee turns scattered data into a self-improving memory graph. Our ECL pipeline (Extract, Cognify, Load) ingests data from 38+ sources, structures it into a knowledge graph with embeddings and relationships, and makes it searchable. The memify layer then refines this graph through feedback loops: rated responses feed back into edge weights, so the memory gets sharper with use. Cognee unifies three storage layers (relational, vector, and graph) into a single engine. It plugs into the tools teams already use: Claude Agent SDK, OpenAI Agents SDK, LangGraph, Google ADK, n8n, Amazon Neptune, Neo4j, and more. What's Next With this funding, we're doubling down on four things: Cloud platform. Our goal is to make AI Memory accessible at scale, so any team can add structured memory to their agents without managing infrastructure. Rust engine for edge devices. We want to bring memory to local and on-device agents, where latency and privacy matter the most. Cognitive memory research. We want to take cutting edge research to practice. We are motivated to apply cutting edge cognitive science and turn it into production-ready tools. Open-source acceleration. We’ll be adding multi-database support, user database isolation, new memory approaches, and 30+ new data source connectors shipping in Q1 and Q2. Cognee is not building another enterprise platform. We're building the memory layer that makes agents intelligent, and we're keeping it open source at the core. Let's Build What Agents Remember Agents without memory are toys. Let's give them something to remember.In this storyIn this storyCognee is the fastest way to start building reliable Al agent memory.Try Cognee CloudTalk to UsLooking for a custom deployment? Chat with our engineers!Contact usLatest all postsDeep DivesMar 26, 2026Expanding Custom Graph Models for Reliable Agent Memory & RetrievalLearn how Custom Graph Models in cognee create a stable, domain-aware memory layer for agents — and how the Cascade feature progressively discovers missing schema from real data.Deep DivesMar 24, 2026Memory as a Harness: Turning Execution Into LearningMemory as a Harness: Turning Execution Into LearningDeep DivesMar 17, 2026Grounding AI Memory: How Cognee Uses Ontologies to Build Structured KnowledgeLearn how ontology-based validation grounds AI memory in structured knowledge graphs. Reduce entity duplication and boost retrieval quality. Try Cognee now.Deep DivesMar 26, 2026Expanding Custom Graph Models for Reliable Agent Memory & RetrievalLearn how Custom Graph Models in cognee create a stable, domain-aware memory layer for agents — and how the Cascade feature progressively discovers missing schema from real data.Deep DivesMar 24, 2026Memory as a Harness: Turning Execution Into LearningMemory as a Harness: Turning Execution Into LearningDeep DivesMar 17, 2026Grounding AI Memory: How Cognee Uses Ontologies to Build Structured KnowledgeLearn how ontology-based validation grounds AI memory in structured knowledge graphs. Reduce entity duplication and boost retrieval quality. Try Cognee now.