Implemented in source
Knowledge Image verification, deterministic query plans and receipts, migration, policy and authority primitives, durable runs, replay, diagnostics, and TypeScript/Rust conformance.
HIVE · Production systems on Knolo
Production AI needs knowledge it can prove.
Knolo turns approved knowledge into portable, verifiable Knowledge Images. HIVE takes that foundation from workflow evaluation into production.
Evidence over demos. Models are replaceable. The system is the product.
KNOLO · REFERENCE SURFACE/legal-msa-v3.knolo
local · mountedV5 SOURCE
Evidence query
What does the 2024 MSA say about indemnification for subcontractors?
Answer · strict
lexical first · rerank off
Indemnification for subcontractors is in §8.3 of the 2024 MSA. The contractor remains liable for subcontractor acts as if they were its own, with a written flow-down required before any subcontract is effective.
MSA-2024.pdfp.41 §8.3 · ev-8.3
rider-b-subs.pdfp.3 · ev-rB
memo-counsel-0312.pdfp.2 · ev-m12
Current source
V5 foundation active
Compatibility
V4 preserved
License
Apache-2.0
Published package
@knolo/core 4.0.0
North star
One .knolo artifact should answer:
01
What did the agent know?
02
What evidence did it use?
03
What was it authorized to do?
04
What did it change?
05
Can another machine reproduce and verify the result?
Software
Portable knowledge. Deterministic evidence. Verifiable runtime state.
Knowledge Image
One mountable file: knowledge + state + policy + proofs.
Receipts
What was read, written, and run — with a trail another machine can verify.
Runtime
Verifiable state, durable runs, policy primitives, replay, and diagnostics. V5 foundation active.
Bootcamp
How work starts. One corpus, one workflow, scoped after intake.
Failure mode
Prototypes die for boring reasons.
Not because the model is dull. Because the system cannot prove what it used, who allowed the action, or whether yesterday’s answer still holds.
01
Wrong document
The model answers. The source is the draft, the email, or last year’s policy.
02
No approval path
An agent can write, send, or file. Nobody can stop it with a record.
03
No evaluation
Quality is a demo reaction. Production has no defined pass/fail.
04
No owner
A prototype has sponsors, but no accountable production owner.
05
Wrong cloud
Privileged files sit in a vendor’s default region because the slide said “secure.”
Inspect the foundation
The source is public. The boundary is explicit.
Knolo is Apache-2.0 software, not a slide about future software. The current source tree implements the V5 foundation while preserving the V4 retrieval path. Its contracts are actively hardening.
Still follow-on work
General transactional mutation, production multi-writer coordination, hosted orchestration, and the complete Studio service and interface.
How clients start
Start with one real workflow.
01
Define the workflow
Name one valuable workflow, the representative source material, the owner, and what a correct result must prove.
02
Bootcamp
Five focused engineering days produce an evaluated workflow on Knolo and a clear production recommendation.
03
Deploy
A bounded 6–12 week engagement adds production integrations, identity, approvals, observability, and operational hardening.
04
Operate
The customer can self-operate, use HIVE-managed operations, or choose a hybrid support boundary.
The product
One portable knowledge layer across models, frameworks, and environments.
Knolo complements the models, frameworks, and databases already in your stack. The current source implements the V5 foundation with V4 compatibility preserved; broader transactional and coordination surfaces remain in development.
01
Knolo Runtime
Durable agent runs: tools, budgets, approvals, resume, audit.
V5 foundation active; contracts are hardening
02
KnoloDB
Embedded transactional knowledge database inside the runtime.
Transactional mutation remains follow-on work
03
.knolo Knowledge Image
One mountable file: knowledge + state + policy + proofs.
V4 compatible; V5 container foundation implemented in source
04
EQL
Evidence Query Language. Canonical evidence packages.
V5 query-planning foundation active
05
Cortex
Agent memory on the same ledger.
V4: overlay log. V5: ledger-backed views
06
Knolo Receipt
Read / write / run evidence.
V4: read receipts. V5: read + write + run
07
Knolo Studio
Open one artifact. Inspect roots, timelines, plans, runs.
Read-only V5 snapshot contract; full UI remains follow-on work
Who it is for
Teams that need evidence, control, and reproducibility.
- Engineering teams building controlled AI products on sensitive knowledge.
- Legal, compliance, and professional-services teams that need cited evidence.
- Insurance SIU and investigation teams working across complex files.
- Financial-review teams that must reconstruct how a decision was reached.
- Organizations that need local, private, or customer-controlled deployment.
Who it is not for
A focused fit, not a generic AI engagement.
- Teams looking only for a generic marketing chatbot.
- Experiments without an accountable owner or acceptance criteria.
- Staff-augmentation requests without an owned system outcome.
- Projects where evidence, provenance, and control do not materially matter.
Founder-led engineering
Built by an engineer, not a marketing committee.
Sam Paniagua is HIVE’s founder and Principal AI Architect. He has spent more than two decades building software and systems across private AI, retrieval, agents, and production infrastructure. He leads the architecture behind Knolo and the systems HIVE takes from evaluation into production.
KNOLO BOOTCAMP
Evaluate your workflow.
A focused five-day engineering evaluation using representative source material and the deployment boundary you name. Friday brings an evaluated workflow, evidence path, findings, architecture, and a production recommendation.
Bootcamp scope and pricing are confirmed after technical intake. Not ready to evaluate a workflow? Talk to engineering.
Explore Knolo