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Helix: The Enterprise Context Layer for AI Agents

Helix is the open context layer by Nexla. It connects to your enterprise systems through Nexla connectors and learns what your data means: what each field is, which system is right, and how fresh it is. Because Helix is open, you can build a context layer of your own on it, curated for your organization, and serve it to every agent and app with the right permissions.

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How Helix works

Helix sits between your systems and everything that uses them. Follow it in order: where context comes from, what Helix does, and who uses it.

Keep scrolling to move through the stack.

Where context comes from

Helix connects to your enterprise systems through Nexla’s 1,000+ connectors and reads context from the places that already hold the truth about your data.

Enterprise systems

Databases, warehouses, SaaS apps, and APIs, reached through Nexla connectors, Connector Builder, and API specs.

For example

Snowflake
Databricks
Salesforce
PostgreSQL

Nexla Platform

The flows and Nexsets you already run in Nexla, plus the Admin API that describes them.

Includes

Admin API
Flows
Nexsets

External sources

The docs, slides, wikis, and runbooks where your teams write down how things work.

For example

Google Drive
Confluence
Notion
Google Slides

Signals and feedback

Live probes, telemetry, and past agent runs tell Helix what is current and what worked.

Includes

Live probes
Telemetry
Past agent runs

What Helix does

Each fact is stored once, kept current, and served scoped and ranked.

Ingest
Pulls schemas, docs, and live signals from your systems through Nexla connectors.
Understand
Merges duplicates, adds meaning, flags what is stale.
Connect
Links related entries across systems.
Serve
Returns in-scope context, ranked by relevance.

Context Corpus

The store itself. Portable, open, fresh, and scoped to your org only.

Per-org agents

Keep learning from usage signals and connected systems, with tenant isolation.

Synthesizer

An agent loop that reconciles duplicates, enriches entries, and refreshes what has gone stale.

Serving

The Context API and CLI that every client above uses.

Scope is structural. Every entry is shared, tenant, external, or restricted, and Helix checks scope before it serves anything.

Shared
Tenant
External
Restricted

What your agents get

Every client reads the same context, through the same interface, filtered to what it is allowed to see.

AI agents

Coding agents, Nexla MCP servers, and your own agents get context before they act.

For example

Claude Code
Cursor
GitHub Copilot
LangChain agents

Apps and services

Task-specific MCP servers built in MCP Studio, plus the apps your teams already use. Run Helix as your company’s own context layer and connect any app to it.

For example

Slack bots
Tableau
Looker
Jira

People

Your team can explore the context, validate it, and add what is missing.

Typical roles

Data engineers
Analysts
Domain experts
Data stewards

One interface for all three: the Context API and CLI

searchFind relevant context
traverseFollow links between related entries
getFetch a specific entry
writeAdd or correct context

What changes for an agent

Same tool call, same data. The difference is what arrives with it.

Without Helix

cust_id_v2An unlabeled ID
revA number with no units
q3_2024Looks current

The agent answers with confidence, and the answer is wrong for the business.

With Helix

cust_id_v2Canonical customer ID
revRevenue, reported in thousands
q3_2024Q3 2024, from the legacy ERP, 90 days behind

The agent gets the data and its meaning, so the answer holds up.

What you can count on

Unified context

Schemas, docs, business logic, and history live in one place. Each fact is stored once, so every agent reads the same version. An agent knows that rev_adj means revenue net of refunds without anyone adding it to a prompt.

Agent-ready interfaces

Agents, apps, and people use the same Context API and CLI. The task-specific MCP servers that MCP Studio builds use it too.

Provenance and versioning

Each entry records where it came from and how it has changed, so you can trace the context behind any answer.

Extensible by design

Helix is an open context engine. Take it and build a context layer of your own, curated for your organization: choose the sources, shape the entries, and decide who sees what. Run it with your own team or bring in Nexla as a technical partner. Your context is never shared with other customers.

Common questions

About Helix

What is a context layer?

A shared store of what your company knows about its data: what fields mean, which systems are the source of truth, and how things relate. Agents read from it before they act, so they do not have to guess.

How is Helix different from a vector database?

A vector database stores and retrieves text. Helix also keeps context current with a synthesizer loop, links entries across systems, records where each entry came from, and checks scope before it serves anything. Storage is one part of Helix, not the whole of it.

Is my context shared with other customers?

No. Each organization’s context is scoped to that organization, and its per-org agents run with tenant isolation.

How do agents and apps use Helix?

Through the Context API and CLI, which support search, traverse, get, and write. The task-specific MCP servers built in MCP Studio use the same interface.

Can my team edit the context?

Yes. Helix is an open context engine. People can explore, validate, and add context, and your team can take the engine itself and build a context layer curated for your organization.