Next: Context Selection
Turn evidence into deliberate input.
Choose the detail and context budget for the next model request.
Sources & Retrieval
LeanCTX is the Context Gateway for AI systems. Bring code, documents and business data into the same context flow. LeanCTX finds relevant information across your permitted sources and keeps its origin attached.
The approach
The implementation lives in a repository. The decision lives in a ticket. The current state lives in a database. LeanCTX brings the relevant evidence together for the task.
Your information
Connect a local workspace, a service such as GitLab and a relational database. Each source contributes information through a common contract, with its own permissions and provenance.
A cross-source question
What changed in checkout — and which decision explains it?
Retrieve the implementation, the approved change and the relevant record. Keep each source identifiable as the context is compiled.
Task-aware retrieval
Combine exact search, indexed retrieval and code relationships. Rank candidates for the question, their available freshness and their source authority. A relevant result must also be permitted.
Source lineage
Keep source identity, contributing versions and available freshness metadata with the result. When sources disagree or a detail matters, return to the original before making the next decision.
Permitted knowledge
Source scope follows the identity and policy behind the request. Revoked access, a forbidden source or an invalid record cannot become authorized merely because it matches the question.
Questions & answers
No. LeanCTX uses the sources, indexes and retrieval path relevant to your task. Credentials, source permissions and refresh settings define the available material.
Use a supported provider, MCP bridge or the versioned Engine source interface. Preserve source identity and permissions when your application supplies material.
Start with LeanCTX
Start with a project you know. Add the sources that explain the decisions around it.
Local-first. Model-agnostic. Your context.
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