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Helix: the enterprise context layer for AI agents

Your agents can reach your data. Helix tells them what it means. It stores what your company knows once, keeps it current, and gives each agent only the context it is allowed to see.

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How Helix works

Helix sits between your systems and everything that uses them. Read the stack from the top: what your agents get, what Helix does, and where the context comes from.

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 agents, and your own agents get context before they act.

Apps and services

MCP Studio, Express, DataOps, and third-party apps build on the same context.

People

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

One interface: the Context API and CLI

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

What Helix does

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

Ingest
Pulls schemas, flows, specs, docs, and live signals.
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

Where context comes from

Helix reads from the systems that already hold the truth about your data.

Nexla Platform

Admin API, flows, Nexsets

Connectors and specs

Connector Builder, API specs

External sources

Docs, slides, wikis, runbooks

Signals and feedback

Live probes, telemetry, past agent runs

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 open. Your team can edit the context engine, add sources, 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. People can explore, validate, and add context, and your team can edit the context engine itself.