Neotask adds vector memory to your automation stack via Qdrant - storing knowledge and retrieving semantically similar content so your agents learn and recall like humans.
Agent memory persists and compounds - your agent stores information in Qdrant and retrieves semantically relevant context on demand, giving every workflow access to accumulated knowledge
Semantic search replaces brittle keyword lookups - your agent finds conceptually related content rather than exact matches, surfacing what matters not just what was typed
Knowledge bases grow and stay useful - documents, decisions, and outputs get stored in Qdrant as your agents work, creating a searchable operational memory that improves over time
What You Can Do
The Qdrant integration gives Neotask 2 vector database actions for storing and retrieving information semantically.
qdrant-store - save any content to Qdrant as a vector embedding with metadata and collection assignment
qdrant-find - search Qdrant for content semantically similar to a query, returning the most relevant stored items
Every action runs autonomously or requires your approval - you decide.
Try Asking
"Store the output of today's strategy meeting in Qdrant under the 'decisions' collection"
"Find everything we've stored in Qdrant related to our pricing strategy decisions"
"Search our knowledge base for content similar to 'enterprise onboarding challenges'"
"Store this customer interview transcript in Qdrant and tag it with the customer segment"
Pro Tips
Pair Qdrant with every agent workflow that produces valuable output - store summaries, decisions, and research so future agents can retrieve them
Use qdrant-find as the memory layer for multi-agent teams: a research agent stores findings and a synthesis agent retrieves and combines them
Build semantic search into customer support workflows - your agent finds the most relevant past solutions before generating a new answer
Collections let you organize knowledge by domain: separate collections for product decisions, customer insights, engineering patterns, and marketing research
Multiple workspaces and capacity for larger teams.
More Data & Analytics Integrations
Omni Analytics - Getting an answer from your company's data usually means either writing SQL or hunting through a dashboard someone else built.
Enterpret - Enterpret builds a knowledge graph out of everything customers say — support tickets, sales calls, app reviews, NPS responses, Slack…
Neon - Neotask manages your Neon Postgres databases - run SQL, create branches, tune queries, and manage projects without touching a terminal.
Pendo - Neotask surfaces user behavior and product feedback from Pendo - analyze feature adoption, retention, and visitor segments through conversation without opening dashboards.
Starburst - Neotask makes your Starburst data lakehouse conversational - running read-only SQL queries and engaging Starburst's data product AI agents through a single business interface.
SimilarWeb - Neotask unlocks competitive intelligence - analyze any website's traffic, audience, advertising, and SEO performance in plain English.