AI & LLM Engineering · ai-dynamo/dynamo

Drives persistent Claude Code, Codex, or OpenCode agent sessions through a Dynamo OpenAI/Anthropic-compatible endpoint over Agent Client Protocol (ACP).

ai-dynamo/dynamo

Benchmark and profile the Dynamo frontend (dynamo.frontend HTTP + tokenizer + KV router) against mock workers (dynamo.mocker).

ai-dynamo/dynamo

Sets up a structured debugging session for a Dynamo bug — pull the report from a Linear ticket, GitHub issue, or pasted text, capture the environment, create a persistent worklog markdown file, and…

ai-dynamo/dynamo

Runs deterministic byte-parity and paired performance campaigns for Dynamo offline KV-aware replay across native-G1 vLLM and SGLang configurations, including forced scheduler-pressure and…

ai-dynamo/dynamo

Answers "for this model, this hardware, this GPU budget and this workload, what is the best known serving configuration, and how much do I trust it?" by walking an ordered set of recipe catalogs…

ai-dynamo/dynamo

Adversarially reviews an evidence-backed Dynamo optimization proposal and DGD draft for comparability, duplication, attribution, correctness, feasibility, and worthwhile GPU spend.

ai-dynamo/dynamo

Synthesizes a canonical userworkload.yaml and captures the user's immutable DynamoGraphDeployment from an optimization user's initial request, attachments, and minimal follow-up interview.

ai-dynamo/dynamo

Drafts a candidate baseline DynamoGraphDeployment from interview requirements when no catalog recipe matches the user's model, hardware, and backend, presenting per-decision evidence for the user's…

ai-dynamo/dynamo