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The Context OS for Agentic Intelligence

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Data & analytics

Context-aware search across enterprise knowledge.

AgentSearch retrieves the right unstructured knowledge with context — so agents and people find what matters without drowning in noise.

  • Unstructured retrieval
  • Contextual relevancy
  • Compliance-aware access
AgentSearch Data & Analytics
Product site agentsearch.co Live
Context OS · decision harness
  • Context compilation
  • Dual-gate policy
  • Decision traces

Context-aware enterprise search across unstructured knowledge bases.

ElixirData parent Hub · /agents Parent

Why AgentSearch

One decision harness for this agent

AgentSearch is not a standalone demo. It compiles context, passes dual-gate policy checks and writes decision traces back into Context OS.

Search with intent

Return passages that match meaning and role — not keyword coincidence.

Cover unstructured estates

Documents, knowledge bases and mixed content in one retrieval layer.

Respect access rules

Retrieval stays inside the same authority model as the rest of Context OS.

Shared business context

AgentSearch reasons on validated, versioned enterprise truth — entities, rules, authority and history.

Governed on Context OS

Outbound actions from AgentSearch are allowed, modified, escalated or blocked before systems of record.

Part of ElixirData

Parented on the /agents hub in the Data & Analytics cluster, with XenonStack as the corporate home.

Where it fits

AgentSearch for the work that needs control

Context-aware enterprise search across unstructured knowledge bases. Put Context OS underneath so every action is checked and traced.

01

Knowledge retrieval

Find the right passage across documents and knowledge bases.

02

Agent context packs

Feed other agents decision-grade unstructured context.

03

Support & product

Cut noise so people and agents see what matches role and intent.

04

With AgentAnalyst

Search knowledge; analyze systems of record in the same cluster.

How the network links

Parent once. Sibling by cluster.

How AgentSearch sits in the ElixirData network — relevance over volume, without a mesh footer of every sister site.

What not to do What ElixirData does
Product site Present AgentSearch as an orphan brand agentsearch.co with ElixirData as platform parent
Parent link No path back to the agents hub One clear path to ElixirData /agents
Siblings Dump every sister site in the footer Directory of the other seven agents by cluster — Data & Analytics first
Brand Hide the corporate relationship Part of ElixirData · A XenonStack company
Runtime Let AgentSearch decide without shared policy Context OS compiles context, checks policy, stores traces

How to start

Put AgentSearch on the decision

Start where risk or value is highest for this agent, then widen once decision traces prove accuracy.

Step 1

Choose

Confirm AgentSearch matches the decision you need to govern or accelerate.

Step 2

Connect

Wire Context OS to the systems, knowledge and policies this agent needs.

Step 3

Shadow

Run alongside people while traces show what the agent would have done.

Step 4

Scale

Raise autonomy where earned and add sibling agents from the Data & Analytics cluster.

FAQ

AgentSearch, answered

Straight answers on what this agent does, how it fits Context OS, and how it links in the network.

AgentSearch is an agentic search layer for unstructured and semi-structured enterprise knowledge.

Search results feed decision-grade context compilation under the same policy and memory layers.

Support, knowledge and product teams that need accurate retrieval at enterprise scale.

Use the ElixirData brand bar, link once to /agents, and show the other agents by cluster — not a full mesh footer.

Put AgentSearch on Context OS

We map the decisions this agent should own, connect Context OS underneath, and keep every action checked and traced.