kanguruonline/claude-batchy-bulk

Cut inference costs without dumbing down your agent.

MCP server to consult a language model with large context size

brick is a smart AI Models router, based on complexity & capabilities extraction from the query to the models via proprietary spatial embedding algorythm

🍱 Semantically create chunks from large document for passing to LLM workflows

🚀 MassGen is an open-source multi-agent scaling system that runs in your terminal, autonomously orchestrating frontier models and agents to collaborate, reason, and produce high-quality results. | Join us on Discord: discord.massgen.ai

MCP server: delegate heavy-token tasks from Claude Code to DeepSeek, Kimi, GLM, Qwen, Grok, or any OpenAI-compatible model. Mix providers per task, cost receipt on every call. Zero dependencies.

utilities for batched llm calls with retries

Four Claude Code / Codex plugins for spending tokens where they change the outcome

Cost-optimised agent router for Claude Code: sends every sub-task to the cheapest model that can do it, and escalates only on verified failure.