Oracle-grounded reasoning
Oracle-tuned prompt orchestration combines APEX metadata, PL/SQL, current documentation, and patch intelligence through retrieval-augmented generation and live dependency grounding.
囲い The Oracle APEX AI companion
Kakoi is purpose-trained and prompt-optimized for Oracle Database and Oracle APEX, including Oracle’s latest releases, documentation, and patches. Its local open-weight model understands metadata, PL/SQL, page dependencies, and the full application lifecycle inside your air-gapped environment.
Developers get GitLab source control and CI, Liquibase migrations, SQLcl and ORDS tooling, APEX import/export, utPLSQL testing, PL/SQL linting, and automated validation and deployment. Kakoi runs on premises or in your cloud VPC, private cloud, or bare-metal infrastructure as a self-managed platform you control.
› Add salary validation to the employee form and commit the change.
01 / ORACLE-NATIVE BY DESIGN
Generic coding assistants tokenize files. Kakoi grounds each prompt in live Oracle context. It builds an on-the-fly knowledge graph across schemas, packages, APEX pages, processes, dynamic actions, and shared components, then injects the exact dependency closure into the model context. The agent can build, validate, and version a real application change.
02 / INSIDE THE ENCLOSURE
Oracle-tuned prompt orchestration combines APEX metadata, PL/SQL, current documentation, and patch intelligence through retrieval-augmented generation and live dependency grounding.
A tool-calling agent coordinates Oracle Database, APEX, ORDS, Git, SQL tooling, semantic retrieval, and policy services from one persistent workspace.
Developers get autonomous, metadata-aware tool use. Administrators govern model routes, prompt policies, credentials, skills, and execution permissions.
03 / THE WORK
The agent assembles Oracle-specific context, reasons across a live dependency graph, changes the application, validates the result, and returns verified work to source control.
Build the page, component, schema, and PL/SQL dependency graph.
Use Oracle-optimized prompts and approved tools to create the change.
Compile, inspect, and test model output against the live environment.
Commit the verified change through the team’s controlled Git workflow.
› Add salary validation to the employee form and commit the change.
7d3c2e1 to feature/salary-validation
Complete. No external route used.
04 / THE CONTROLLED GATE
The Oracle-aware agent can call real development tools without controlling its own inference perimeter.
The open-weight model, vector retrieval, prompt stack, and Oracle knowledge graph stay inside your enclave.
AI policy lives outside the agent’s shell.
05 / DEVELOPER EXPERIENCE
Each developer gets an isolated, Oracle-aware agent workspace with persistent context. Browser and SSH access return to the same model session, tool state, and application knowledge graph.
kakoi.ai/workspacessh psehgal-kakoiContext engine RAG + live graph
Inference route local open-weight
AI perimeter fully air-gapped
Prompt domain Oracle APEX
PRIVATE PREVIEW
See an Oracle-tuned agent ground a prompt, build the dependency graph, generate the APEX and PL/SQL change, validate it, and commit it without crossing your AI perimeter.