Reusable research for coding tools

RLM Agent

Bring literature research and reusable memory into an MCP-compatible coding workflow, with public source code available to review.

RLM Agent case study

RLM Agent workflow stages: Intake and Validate, Dedup, Route Models, Retrieve, Orchestrate, Sandbox, Persist, Recall.
The challenge
Research is difficult to reuse when papers, code, prior findings, and the path to each conclusion live in separate places.
Who it helps
Developers and researchers who want literature research inside an MCP-compatible coding tool.
The result
A local research service that gathers sources, preserves findings, and makes previous work available to future coding sessions.

System workflow

See how the system handles the work.

Choose a stage to see what happens, what supports it, and where the system stops, falls back, or asks for help.

Request-to-result workflow
choose a stage to see its role