Knowledge Bases For Agents

Agents don't need wikis. They need judgment at runtime.

Most LLM knowledge bases help humans organize information. Datalox gives agents the missing layer: skills to execute, knowledge to decide, and retrieval during execution. We are starting with biotech, where there is no clean reward signal and experience matters.

Skills to execute
Knowledge to decide
Retrieval at runtime
See The Example Join Waitlist
Starting in biotech, built for expert workflows where knowing what works matters more than generic docs.
SOPs
Patterns
Judgment
Retrieval

Human Knowledge Bases Stop Too Early

Today's LLM knowledge bases mostly help humans think. Agents need something different: procedures plus retrievable judgment during the task.

Without Datalox

Agents can read docs, but docs do not tell them what actually works when the decision is messy.

  • Skills and SOPs explain steps, but not when to trust a path, back off, or apply an exception.
  • Patterns, prior cases, and reviewer judgment stay trapped in notes, memory, and scattered files.
  • Without runtime retrieval, agents execute mechanically instead of querying experience.

With Datalox

Datalox turns expert experience into something agents can query while they work.

  • Store skills as procedures and knowledge as patterns, exceptions, and judgment.
  • Retrieve the most relevant prior cases and guidance at the exact decision point.
  • Keep citations attached so the agent's reasoning stays auditable.

How Datalox Fits Into A Repo

For teams already using agent repos, Datalox can start from a small opt-in block in AGENTS.md. That block tells the agent to separate skills from knowledge, retrieve judgment at runtime, and keep outputs cited.

Example AGENTS.md
This repo uses Datalox as an agent-facing knowledge layer.

Before acting in this workflow:
- Use skills for procedures and execution steps.
- Query Datalox for relevant patterns, prior cases, and expert judgment.
- Retrieve during execution, not only at planning time.
- Cite what you used so decisions remain reviewable.
01

Capture Skills

Store repeatable procedures the agent can execute reliably.

02

Store Judgment

Save patterns, exceptions, and prior rulings as knowledge instead of burying them in notes.

03

Retrieve At Runtime

Pull the right experience into the exact step where the decision is made.

Step 1: Add The Opt-In Block

Mark the repo as Datalox-enabled.

Step 2: Separate Skills And Knowledge

Keep procedures distinct from patterns and judgment.

Step 3: Run Agents As Usual

Query Datalox at real decision points.

Step 4: Keep Outputs Cited

Ground decisions in retrieved sources.

Join The Early Access Waitlist

We are onboarding biotech teams first, then expanding to other expert workflows where agents need runtime judgment, not just docs.

Start Narrow

Pick one assay, protocol, or analysis workflow.

Get A Retrieval Key

We issue access manually during the early rollout.

Load Existing Experience

SOPs, notes, prior cases, reviewer guidance, and reports.

Run With Agents

Retrieve guidance during execution and review cited output.

We onboard in batches and reply with next steps by email.