Project onboarding
Help new team members understand architecture, terminology, standards, and previous decisions.
Engineering knowledge
ContextHarbor makes architecture, standards, project documentation, implementation guidance, and reusable delivery knowledge available to approved AI tools.
Teams can retrieve project-relevant context from Cursor, Cline, internal assistants, the command line, or custom applications without placing every knowledge source directly inside each tool.
The context problem
Architecture decisions, engineering standards, API specifications, platform guidance, runbooks, and previous delivery lessons frequently sit outside the current repository.
Help new team members understand architecture, terminology, standards, and previous decisions.
Retrieve design documents and decision records while investigating an unfamiliar system.
Make approved implementation patterns and engineering standards easier to apply.
Make reusable solutions discoverable across explicitly approved project boundaries.
Search runbooks, operational guidance, and technical documentation from one knowledge layer.
Expose organizational knowledge to portals, assistants, and automation through defined interfaces.
Engineering workflow
Submit a project-specific question from an MCP-compatible client or internal tool.
Search only the configured ContextHarbor knowledge namespace.
Combine conceptual retrieval with API names, error codes, identifiers, and technical terms.
Supply project context together with information about its original source.
Use the retrieved material while reviewing the source when the decision requires it.
Example question
Why does this service publish events instead of calling the downstream system directly?
ContextHarbor can retrieve the relevant architecture decision, integration standard, and operational constraints from the approved project knowledge.
The development assistant can use that context when explaining the design or proposing a change.
Demonstrations
These are client workflows, not product dependencies. Compatibility depends on the interfaces supported by the selected tool.
45–60 seconds
Ask a project question and retrieve approved architecture context with source information.
Private demonstration available45–60 seconds
Request an implementation pattern from the selected engineering knowledge namespace.
Private demonstration available30–45 seconds
Review the project, retrieved passages, processing status, and original knowledge source.
Private demonstration availableContextHarbor does not require a particular coding assistant and does not imply a partnership with third-party AI-tool vendors.
ContextHarbor
See how ContextHarbor could support a controlled operational or engineering knowledge workflow within your environment.
Pricing is available on request and depends on deployment, integration, support, and evaluation requirements.