Structured research
Break research work into explicit retrieval, analysis, synthesis, and output stages instead of treating the task as one opaque model call.
A structured research and synthesis system built around source-aware workflows, persistent context, governed model use, and reusable outputs.
LegClaw is an open-source AI research engine built by Legenyx. Your donation directly funds infrastructure, API costs, and ongoing development.
Choose an amount
API Infrastructure
Claude API & compute costs
Feature Development
New search & memory layers
Open Access
Keep core features free
This public surface avoids hard-coded provider, privacy, source-count, and performance claims unless the current product evidence supports them.
Break research work into explicit retrieval, analysis, synthesis, and output stages instead of treating the task as one opaque model call.
Keep source material and research context visible so outputs can be inspected against the material that informed them.
Route research steps through explicit task logic and system controls rather than granting a model unrestricted authority.
Maintain useful research and workspace context in application-controlled state where it can be reviewed and corrected.
Keep permissions, sensitive operations, and production actions outside model confidence and inside deterministic application controls.
Produce research artifacts that can be reviewed, reused, and incorporated into business or technical workflows.
LEGENYX can scope retrieval, sources, permissions, memory, workflow, evaluation, and output contracts around the actual research environment.
A real engineer reviews every request, not an autoresponder.
Written scope, timeline and price before any work starts.
Code, data, accounts and infrastructure stay in your name.
Layered defenses, access control and review on every release.