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Connect AI agents andapplications to current data.

Get grounded answers from live data during the request, or from context kept ready from your sources.

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Remac data flowSeveral source categories flow through Remac to the selected outcome.Databases and query systemsPostgreSQL, MySQL, MongoDBSaaS and business applicationsNotion, Slack, SalesforceWeb contentWebsites, Documentation sites, RSSFiles and object repositoriesAmazon S3, Cloudflare R2, Google Cloud StorageCustom service APIsREST, GraphQL, gRPCEvent and messaging systemsKafka, Kinesis, Google Pub/SubDirect application ingestionWebhooks, SDK events, Agent tracesRemacTurn current data into answers/contextthe agent can useAgent or applicationAnswers/Context ready to use
  • Databases and query systems
  • SaaS and business applications
  • Web content
  • Files and object repositories
  • Custom service APIs
  • Event and messaging systems
  • Direct application ingestion
RemacTurn current data into answers/context the agent can use
Agent or applicationAnswers/Context ready to use
Set up Remac with your coding agent

Current data returns to the agent or application.

Spend less. Save time.

Use one data path instead of paying for several aggregation tools.

Connect the systems that hold your business data once. Reuse that setup wherever an agent, application, or analytics workflow needs current facts.

Source aggregation tools
Workflow-specific connectors
Data preparation scripts
Destination delivery jobs
Remac

Spend less

Reduce spending on separate products for collecting and preparing data from different systems.

Save engineering time

Reuse configured sources and data preparation instead of rebuilding them for every workflow.

See more of the business

Give the agent or application producing the insight selected data from multiple business systems.

Serve customers better

Use current account, order, billing, inventory, and policy data when a customer needs an answer.

Move faster

Launch and improve AI workflows without waiting for another aggregation project.

Give the agent the facts for this request.

Example: a support agent needs to resolve a possible duplicate annual charge while the customer is waiting.

Get context

Retrieve answers/context for an agent or application request.

Answer

Based on the current billing records below.

Answered
The second charge is a pending authorization. Void it; do not issue another refund.
Supporting records5 records
SubscriptionAnnual, active
Invoice inv_4821$249, settled
Payment pmt_9027Pending authorization
Case case_1904Duplicate charge reported
Current refund ruleVoid the duplicate pending authorization
Payment pmt_9027

Pending authorization for the annual subscription.

structured
amount
$249
state
pending authorization
invoice
none
case
case_1904
Source
Customer billing database
Context ID
pmt_9027

Keep vectors synchronized as source data changes.

Remac keeps prepared vector records aligned with source changes. Customer systems can use them for retrieval, recommendations, similarity matching, classification, clustering, and other vector-based workflows.

Notion policy page

page
return_policy
title
Final-sale returns
body
Damaged final-sale items can be returned within 14 days.
author_email
ops@store.test
internal_notes
Legal review complete
Keep approved fieldsMask private dataPrepare the selected textCreate the required vector

Qdrant point

operation
upsert
point_id
fa730e66-6cb4-5e16-a0ea-1948451170cf
source_id
src_3IwUXxlSoHblNpB3inaWm1HRthX
item_id
return-policy-final-sale
vector
<Embeddings>
payload
Context Record

The resultIn this example, support searches use the updated return policy.

Activity

Inspect data-flow runs and destination results.

Data flows / Run details

Payment risk delivery

Manual run

Completed
Source
Payment event webhook
Result
4 prepared deliveries
Destination results
Kafka
risk.review.requestedStarts payment review work
Delivered
Amazon S3
risk/pay_78492/evidence.jsonKeeps the review evidence
Delivered
Case service webhook
POST /casesOpens the review case
Delivered
Analytics webhook
POST /risk-eventsAdds the event to analytics
Delivered

Keep operational and analytics systems current.

Example: a payment risk webhook starts one review run. Each connected system receives the data it needs.

Use Remac where you build

Connect without changing your workflow.

Use an SDK, call the API, or connect an agent through MCP. The full setup and examples live in the developer guide.

Application codeTypeScript SDK / Python SDK / Go SDK / HTTP APIView guide
AgentsMCP / Claude Code / Cursor / GitHub Copilot / OpenAI Codex / OpenClaw / Hermes Agent / OpenRouterView guide

Clear responsibility

Remac handles the data path and grounded answer. You control the workflow.

Remac reads or receives selected data, prepares it for the configured use, answers request-time questions from it, and delivers configured outputs. Your application decides what to ask and what happens next.

Remac

01Read selected current data
02Prepare it for the configured use
03Answer the question from that data
04Keep synchronized outputs current

Your application

01Decide when and what to ask
02Provide the required runtime values
03Use the returned answer
04Control what happens next

Build the next agent step on current data.

Connect the sources that hold the facts. Return the right records when the agent needs them.

View developer guide