Best tools for Cost Optimization

Turn any MCP server, OpenAPI spec, or GraphQL endpoint into a CLI — at runtime, with zero codegen.

mcp2cli turns MCP servers, OpenAPI specs, and GraphQL endpoints into standard CLIs at runtime — no codegen, no schema bloat. Tools and arguments load only when requested via --list and --help flags, cutting up to 96–99% of the tokens that native MCP integrations waste on schema preloading. Works with Claude Code, Cursor, Codex, and any agent that can call shell commands, and ships with OAuth, stdio/HTTP/SSE transports, and a bake mode for reusable connections.

Cut Claude Code token costs by up to 50% with a local plugin that never uploads your code.

WOZCODE is a Claude Code plugin that reduces token consumption by 25–55% using smarter context reads, batched file edits, AST truncation, and Haiku subagents. It installs in seconds with two CLI commands, runs entirely locally with no code upload, and requires no account sign-up. Developers report finishing the same tasks in fewer tokens without changing their existing editor or workflow.

See where your AI coding tokens actually go

Open-source TUI dashboard and CLI that shows where your AI coding tokens actually go, broken down by task type, tool, model, MCP server, and project. CodeBurn reads local session data directly from Claude Code, Codex, Cursor, OpenCode, Pi, and GitHub Copilot — no wrapper, proxy, or API keys — and layers on one-shot success rates so you can see whether the AI nails work first try or burns budget on edit/test/fix retries. Ships with a macOS menu bar widget and CSV/JSON export.

Unified LLM API gateway and proxy hub

New API is an open-source multi-tenant AI gateway that aggregates and distributes LLM API requests across providers like OpenAI, Claude, and Gemini through a unified proxy interface. It cross-converts requests into OpenAI-compatible, Claude-compatible, or Gemini-compatible formats, with built-in channel management, quota control, token-based authentication, and billing capabilities. Deploy via Docker with SQLite or MySQL for centralized model management.

CLI token usage tracker for AI coding agents

Tokscale is a CLI tool that tracks token usage and costs across AI coding agents including Claude Code, Codex, OpenCode, Gemini CLI, Cursor, and more. Built with a native Rust core for high-performance processing, it provides detailed breakdowns of input, output, cache, and reasoning tokens with real-time pricing calculations via LiteLLM data. Features include interactive 2D/3D contribution graphs, web visualization dashboards, global leaderboards, and JSON export for cost analysis.

Runtime guardrails validating AI agent actions before execution

Salus is a YC W26-backed platform that provides runtime guardrails for AI agents, validating actions before execution using policy-as-code defined in YAML, markdown, or plain English. It features evidence grounding for decision verification, structured feedback enabling 58% recovery rate when actions are blocked, plus PII detection, budget protection, and human-in-the-loop escalation. Agents with Salus follow policies at up to 60% lower cost with 52% reduced misalignment on frontier models.

AI agent safety SDK with guard, redact, and scan modules

Superagent is an open-source AI agent safety SDK that provides runtime protection through four modules: Guard for detecting prompt injections and unsafe tool calls, Redact for removing PII and secrets, Scan for analyzing repos against AI-targeted attacks, and Test for red-team evaluations. It works with any LLM provider and includes open-weight guard models from 0.6B to 4B parameters with 50-100ms latency for real-time protection.

Smart LLM router that cuts inference costs up to 70%

Manifest is an open-source smart model router that intelligently routes LLM requests to the cheapest capable model, reducing inference costs by up to 70% without sacrificing output quality. It uses a 23-dimension scoring algorithm to evaluate 300+ models across providers including OpenAI, Anthropic, Google, and DeepSeek, with automatic fallbacks and budget controls. Manifest can be deployed as a cloud service, local plugin, or self-hosted Docker container with transparent routing logic.

Super-fast Rust-based JavaScript compiler

SWC is a super-fast JavaScript and TypeScript compiler written in Rust that serves as a drop-in replacement for Babel. It compiles modern JavaScript and TypeScript to backward-compatible versions up to 20x faster than Babel by leveraging Rust performance and parallelism. SWC handles JSX transformation, TypeScript stripping, module transpilation, and minification in a single tool, and powers major frameworks including Next.js, Parcel, and Deno.

Automated code review for any linter on CI

reviewdog is an open-source automated code review tool that integrates any linter or static analysis tool with GitHub, GitLab, Bitbucket, and Gitea pull requests. Parses output in errorformat, Checkstyle XML, SARIF, and JSON formats to post inline review comments on changed lines only. Works with GitHub Actions, Travis CI, CircleCI, GitLab CI, and Jenkins. Supports 40+ languages through universal linter adapter architecture.

Instant isolated dev environments powered by Nix

Devbox is an open-source command-line tool that creates instant, reproducible development environments using Nix packages without requiring you to learn Nix. Define your project dependencies in a simple devbox.json file and get isolated shells with access to over 400,000 package versions. It eliminates dependency conflicts between projects and ensures every team member works in an identical environment, with support for devcontainers, Docker, and cloud deployment.

Google's production on-device LLM inference framework

LiteRT-LM is Google's official open-source framework for running large language models on-device across Android, iOS, Web, Desktop, and Raspberry Pi. Already deployed in Chrome and Pixel hardware, it provides production-grade on-device LLM inference with 1.4K+ GitHub stars. Apache 2.0 licensed.

Intelligent model router that balances cost and quality across LLM providers

RouteLLM by LMSYS routes LLM requests to the most cost-effective model that can handle each query's complexity. It uses learned routing models to classify whether a query needs a powerful expensive model or can be handled by a cheaper alternative, reducing costs by up to 85% while maintaining quality. Supports OpenAI, Anthropic, and other providers through an OpenAI-compatible API.

FOCUS-native multi-cloud cost management and FinOps platform

Holori is a multi-cloud cost management platform built on the FOCUS billing data standard. It provides unified cost visibility across AWS, Azure, GCP, and other cloud providers with automated tagging, budget alerts, and optimization recommendations. Features interactive infrastructure diagrams that link architecture visualization directly to cost data for contextual spending analysis.

AI-powered autonomous cloud cost optimization for AWS

Zesty uses AI to automatically optimize AWS cloud costs by analyzing usage patterns and making real-time resource adjustments. It manages Reserved Instance and Savings Plan portfolios autonomously, right-sizes EC2 instances based on actual utilization, and optimizes EBS volumes and storage costs. Claims average 51% savings on AWS compute spend with no engineering effort required.

Agentic IaC platform with AI-powered Terraform code generation

ControlMonkey is an agentic Infrastructure as Code platform that uses AI to automatically generate Terraform code from existing cloud resources. It detects infrastructure drift, converts ClickOps changes into version-controlled Terraform, and enforces IaC-first governance. Raised $7M seed funding to build AI-powered infrastructure management for cloud-native teams.

Infrastructure as Code orchestration and governance platform

env0 is an IaC orchestration platform that manages Terraform, OpenTofu, Pulumi, and CloudFormation workflows with built-in governance, cost estimation, and drift detection. It provides self-service infrastructure provisioning with policy guardrails, automated plan approvals, and budget controls. Supports custom deployment flows with OPA-based policy enforcement and RBAC.

Kubernetes cost monitoring and optimization platform

Kubecost provides real-time cost monitoring and optimization for Kubernetes clusters. It allocates infrastructure costs to namespaces, deployments, pods, and labels with granular accuracy. Acquired by IBM, it has become the standard for K8s cost visibility. Features include savings recommendations, budget alerts, cluster right-sizing, and multi-cluster cost aggregation across AWS, GCP, and Azure.

Autonomous Kubernetes and GPU infrastructure optimization

ScaleOps provides autonomous real-time management of Kubernetes and GPU infrastructure, reducing cloud costs by up to 80 percent without manual configuration. Backed by 130 million in Series C funding at an 800 million dollar valuation, it serves enterprises including Adobe, Wiz, DocuSign, and Salesforce. The platform continuously rightsizes pods, optimizes replicas, manages nodes, and allocates GPUs based on live workload demand rather than static configurations.

Self-hosted UI and API for Ansible, Terraform, and scripts

Semaphore UI provides a web interface and REST API for running Ansible playbooks, Terraform and OpenTofu configurations, Bash scripts, and PowerShell commands from a centralized self-hosted platform. With over 13,000 GitHub stars and 2 million Docker pulls, it replaces AWX and manual terminal execution with a polished dashboard for scheduling, access control, notifications, and execution history across mixed infrastructure automation environments.

IaC orchestration layer for scaling Terraform and OpenTofu

Terragrunt is an infrastructure-as-code orchestration tool that wraps Terraform and OpenTofu to keep configurations DRY, manage remote state, and coordinate multi-module deployments. The 1.0 release introduced stacks, filters, run reports, and backward compatibility guarantees after 900+ releases and tens of millions of infrastructure deployments. It provides a thin orchestration layer that eliminates duplication across environments without replacing the underlying IaC tools.

Open-source control plane for AI workloads across multi-cloud GPU infrastructure

dstack is an open-source platform that orchestrates AI training and inference workloads across heterogeneous GPU infrastructure spanning multiple clouds, Kubernetes clusters, and bare-metal servers. It abstracts away cloud-specific APIs so teams define GPU requirements declaratively and dstack automatically provisions the cheapest available resources from AWS, GCP, Azure, Lambda, or on-premises hardware.

Cost-effective AI inference platform with 86+ models from $0.02/M tokens

DeepInfra is an AI inference platform offering 86+ LLM models with pricing starting at $0.02 per million tokens. Backed by $20.6M in funding including an $18M Series A from Felicis Ventures, it provides OpenAI-compatible endpoints for models including DeepSeek, Llama, and Mistral with pay-as-you-go pricing.

Run GitHub Actions 2x faster at half the cost on bare-metal gaming CPUs

Blacksmith is a drop-in replacement for GitHub-hosted runners that executes Actions on bare-metal gaming CPUs with higher single-core performance. Migration requires one line change in YAML. Features colocated warm caches, persistent Docker layer caching on NVMe, CI observability with log search, and Firecracker microVM isolation. SOC 2 Type II certified, pay-as-you-go at ~$0.004/min versus GitHub's $0.008/min.