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KOKONUT BUILDERS / OPEN REGENERATION INFRASTRUCTURE

Build what helps the real world grow.

Connect software, data, governance, and AI to real regenerative work. Build with open tools, clear ownership boundaries, and evidence that can be inspected.

From farm records and MRV to human-supervised AI assistance and governed onchain coordination, the right contribution starts with the right source of truth.

Find your building path Read the full builder contract
OPEN SOURCEGOVERNED DATAREAL FARM CONTEXT

01 / WHY WE BUILD

Real-world regeneration needs real digital infrastructure.

Regenerative farms produce plans, field observations, expenses, harvests, impact evidence, decisions, and community knowledge. Those records become useful when they can be understood across teams and systems without losing their meaning.

Kokonut opens up the infrastructure for builders to improve how that work is coordinated, recorded, reviewed, analyzed, and shared.

Understand the ecosystem first ↗

FEATURED BUILDER RESOURCE / INTERACTIVE

Find the challenge. Trace the system response.

Explore 29 real-asset and ReFi challenges across six connected systems. Search land stewardship, liquidity, methodology, governance, privacy or adoption—and inspect the proposed Kokonut Intelligence workflows and controls.

29 challenges6 systemsSearchable explorer
Open the RWA × ReFi challenge map
CHALLENGE MAP / EXAMPLE QUERYKI × RWA
03 / PLACE & RIGHTSTurn tenure into a governed stewardship commitmentLand Stewardship Trust · PostGIS · Farm registry
05 / EVIDENCE & FIELDWORKConnect every claim to method and evidenceField data · Versioned metrics · Evidence maturity
ILLUSTRATIVE PREVIEW · OPEN THE FULL INTERACTIVE MAP ↗

02 / CHOOSE YOUR SURFACE

Find the system that owns your work.

Six official open-source entry points, each with a distinct responsibility. Check their current README, deployment and branch state before implementing integrations.

01 / KNOWLEDGE & METHODSPUBLIC REPO

Kokonut Public Site

Improve Framework documentation, schemas, evidence definitions, navigation, diagrams, and the public developer experience.

MintlifyMDXFramework
Browse the source repository ↗
02 / GOVERNED DATA & ANALYTICSACTIVE PLATFORM

Kokonut Intelligence

Build data pipelines, governed records, field collection, MRV, analytics, reporting, APIs and bounded agent workflows.

PostgreSQLDirectusPython
Explore the architecture ↗Open GitHub repository ↗
04 / SYNTROPIC AI AGENTEARLY SOURCE

Syntropic Agent

Follow the human-supervised agent's Hermes integrations, farm-analysis workflows and service implementation as code is published.

HermesAgentsReview
Explore the agent ↗Official GitHub repository ↗
06 / PUBLIC IMPACT PLATFORMPUBLIC REPO

Kokonut Foundation

Contribute to the nonprofit's Cloudflare-native website, impact publishing, multilingual content and reporting workflows.

CloudflareAstroReporting
Explore the Foundation ↗Official GitHub repository ↗

These official repositories identify development ownership—not a claim that every implementation or deployment is live. Syntropic Agent and Protocol currently have introductory README content on main; the Marketplace implementation is on develop. Check branches, releases and onchain records before shipping.

03 / THE BUILDER MAP

Connect the layers. Respect the boundaries.

Different systems are canonical for different kinds of work. An integration should not turn a governance decision into farm authority—or a data record into a scientific conclusion.

RESPONSIBILITY FLOWREFERENCE ARCHITECTURE
01
Local farm operatorsSource activity, decisions and land stewardship
LOCAL
02
Kokonut FrameworkShared methods and compatible 13-field baseline
METHOD
03
Kokonut IntelligenceCanonical governed records, permissions, analytics and APIs
DATA
04
Review, MRV & publicationSource evidence, bounded claims and published interfaces
EVIDENCE
05
Human and governance decisionsAppropriate reviewers, local operators and DAO scope
AUTHORITY
Agents may assist these workflows; they do not inherit approval, certification or treasury execution rights.
BUILDING ACROSS CHAINS
GNOSISCapital governanceMoloch DAO and related treasury decisions↗CELOEvidence provenanceEAS attestations for selected claims and records↗NEAR / PROPOSEDInteroperability policyApproved design direction—not deployed capability by assumption↗AGENT LAYERBounded assistanceDraft, validate, analyze and route for human review↗

04 / BUILD AGAINST CONTRACTS

Make data reusable. Keep its meaning intact.

The most important rules protect compatibility and the difference between information, evidence, forecasts, and authority.

01 / FARM BASELINE↗
13 fields

A stable starting point.

Shared project context for intake and interoperability—not a complete operational database, funding approval, or proof of impact.

Explore the Common Data Schema
02 / MRV↗

Evidence before interpretation.

Keep source observations, measured facts, optional attestations, published states, and impact claims distinguishable.

Read the evidence contract
03 / RECORD LIFECYCLE↗

Governed by design.

Draft, submitted, verified and published are different record states. A workflow status is not scientific certification.

Explore Intelligence
04 / COMPATIBILITY↗

Changes need context.

Protect schema fields, API semantics, privacy, permissions, migrations, and downstream consumers.

Read the complete rules
A RECORD HAS A LIFECYCLENOT A SHORTCUT TO TRUTH
draft→submitted→verified→published

Publication, provenance, scientific validity, privacy and permissions are separate dimensions. Records can also require rejection or rework; forecasts and actuals must remain distinct.

05 / INTELLIGENCE & AUTOMATION

Make agents useful. Keep humans accountable.

AI can help prepare farm reports, detect evidence gaps, analyze operational data, draft proposals, and organize contributions. But it must not quietly award itself verification, publishing, financial, or farm-operating authority.

Explore AI agent architecture ↗Meet the proposed Syntropic Agent ↗
AGENT AUTHORITY MODELREVIEW REQUIRED
✓
PrepareDraft records, reports, analyses and proposals
ALLOWED IN SCOPE
✓
RecommendIdentify gaps, compare forecasts and route review work
ALLOWED IN SCOPE
×
Self-certifyTurn model output into verified ecological or financial truth
NOT AUTOMATIC
×
Self-executePublish trusted claims or transfer treasury funds on its own
NOT AUTOMATIC

Permissions must be scoped to the owning system. Human review, farm authority and Safe owner approvals remain separate controls.

06 / EXPLORE THE STACK

Follow the technology behind the work.

Discover the specialized implementations below this Builder landing page. Each page separates current capabilities from proposed architecture.

01 / DATA & ANALYTICSKokonut Intelligence

Governed data, APIs, evidence, reports and decision support.

Explore platform ↗02 / INTEROPERABILITYKokonut Protocol

NEAR-based cross-chain policy and execution design—not assumed production deployment.

Explore proposed design ↗03 / AUTOMATIONKokonut × AI Agents

Bounded AI workflows, review rules and marketplace integration boundaries.

Explore agent systems ↗04 / FIELD ORCHESTRATIONSyntropic Agent

The proposed multichain agent interface connecting regenerative work and infrastructure.

Meet the agent ↗05 / APPLIED REFIRegenerative Finance Playbook

Connect farm economics, open coordination, evidence and practical implementation.

Explore the playbook ↗06 / SHARED METHODOLOGYKokonut Framework

Farm data, developmental phases, ecological methods and evidence interpretation.

Learn the Framework ↗

07 / GET INVOLVED

Start with something useful and reviewable.

Good first contributions create clarity, correctness, or better evidence—not extra complexity for its own sake.

01

Choose an owning repo

Docs, governed data, agent marketplace, DAO interfaces or MRV—the right team owns the right change.

02

Check the canonical contract

Read current schemas, API definitions, deployment manifests, permissions, and evidence states.

03

Make a bounded improvement

Fix a document, strengthen validation, clarify data provenance, or improve a reviewer workflow.

04

Submit evidence with the change

Include relevant tests, before/after examples, migration notes, or rendered previews for review.

Good first places to help

Documentation quality · schema validation · evidence QA · forecast reconciliation · public dashboards · agent review tooling · governance readers

Explore collaboration opportunities ↗

08 / FULL TECHNICAL REFERENCE

A compelling entry point. Nothing important left behind.

The complete original builder guide remains available, including TypeScript interfaces, repository responsibility maps, MRV payloads, attestation details, compatibility rules, authority models, privacy, and quality checklists.

THE COMPLETE ORIGINAL GUIDERead the detailed builder contract ↗Source contracts · lifecycle · governance · privacy · contribution workflowCOMPATIBILITY BASELINECommon Data Schema ↗The current 13-field contract and semanticsEVIDENCE BASELINEMRV Methodology ↗Source records, review, publication and interpretation

BUILD WITH KOKONUT

Open code. Real context. Shared progress.

Start with the documentation, inspect the source, and contribute a clearly scoped improvement to the infrastructure behind regenerative work.

Browse the official repositories ↗Meet the community ↗