Persistent memory of what your code actually does — queryable by any agent in cents per call.
Your AI tools forget. Every conversation starts from zero. Restrictions of Context Window and Context Rot are real obstacles, particularly in dealing with really large codebases. We give them durable memory of what your code actually does.
DevLoops ingests your git history and builds a graph of skills — descriptions of what each function, class, and mechanism in your code achieves — stored in your dedicated Redis Cloud instance and connected via vector search. Instead of re-reading the codebase every prompt, agents query the skill graph: cents per query, answers grounded in real structure, persistent across sessions and tools.
We expose this as an API. Any agent — Claude Code, spec-driven dev tools, your custom stack — can integrate and instantly understand any codebase its user has ingested. Standard queries answer complex architectural questions for around $0.03. Deep mode runs full security reviews and cross-cutting analyses for $0.10.
The thesis: why compete with every dev tool when you can be the layer every dev tool needs? DevLoops is the comprehension infrastructure underneath the AI coding stack. Accuracy. Speed. Persistent memory. Every agent above it gets smarter.
Battling context rot, one skill at a time.