Dev tools · alternatives · 2026
24 alternatives to Token compression CLI to save Codex/Astra costs
This command-line tool helps developers reduce token usage when working with Codex and Astra APIs, lowering associated costs. It compresses input text and code before sending requests to these services. The tool is… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.
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Paritok▲258Spend up to 85% less and run 3× longer coding agent sessions
Aug 2026 · paritok.com · its alternatives →
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CodeX-Editor▲125A web code editor with AI & multi-language support
2025 · x-codex.vercel.app · its alternatives →
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AgentReady▲118Compression API that reduces prompt size by 40-60% before sending to your LLM. Your API key never leaves your environment.
Feb 2026 · agentready.cloud · its alternatives →
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2020 · npmjs.com · its alternatives →
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Every MCP server injects its full tool schemas into context on every turn — 30 tools costs ~3,600 tokens/turn whether the model uses them or not. Over 25 turns with 120 tools, that's 362,000 tokens just for schemas. mcp2cli turns any MCP server or OpenAPI spec into a CLI at runtime. The LLM discovers tools on demand: mcp2cli --mcp https://mcp.example.com/sse --list # ~16 tokens/tool mcp2cli --mcp https://mcp.example.com/sse create-task --help # ~120 tokens, once mcp2cli --mcp https://mcp.example.com/sse create-task --title "Fix bug" No…
Mar 2026 · github.com · its alternatives →
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Context Gateway▲220We built an open-source proxy that sits between coding agents (Claude Code, OpenClaw, etc.) and the LLM, compressing tool outputs before they enter the context window. Demo: https://www.youtube.com/watch?v=-vFZ6MPrwjw#t=9s. Motivation: Agents are terrible at managing context. A single file read or grep can dump thousands of tokens into the window, most of it noise. This isn't just expensive — it actively degrades quality. Long-context benchmarks consistently show steep accuracy drops as context grows (OpenAI's GPT-5.4 eval goes from 97.2% at 32k to 36.6% at 1M…
Mar 2026 · github.com · its alternatives →
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Codex Plugins▲202Package Codex skills and app integrations as plugins
Mar 2026 · learn.chatgpt.com · its alternatives →
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Built this after realizing I was spending ~$1400/week on Claude Code with almost no visibility into what was actually consuming tokens. Tools like ccusage give a cost breakdown per model and per day, but I wanted to understand usage at the task level. CodeBurn reads the JSONL session transcripts that Claude Code stores locally (~/.claude/projects/) and classifies each turn into 13 categories based on tool usage patterns (no LLM calls involved). One surprising result: about 56% of my spend was on conversation turns with no tool usage. Actual coding (edits/writes) was…
Apr 2026 · github.com · its alternatives →
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Zero-dep CLI: one MCP config synced to every agent. A 255-tool listing costs 581 tokens, not 71,929 - schemas never enter context. - activeing123/mcptoon
Aug 2026 · github.com · its alternatives →
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Save 89% of wasted tokens on your AI coding agent
Mar 2026 · rtk-ai.app · its alternatives →
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Onboard-CLI—a blazing-fast developer tool I built in Go. It uses AST parsing (Tree-sitter) to map out codebase architecture and automatically blocks spaghetti code and bad dependencies locally before you even commit. I heavily optimized the concurrency, so it can parse 50k+ files in under 10 seconds.
Jul 2026 · github.com · its alternatives →
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Clawgate▲7Cost control and governance for Claude Code and Codex
Jul 2026 · opviera.ai · its alternatives →
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JFrog Boost▲59Save AI tokens & sharpen your coding agents
Sep 2026 · boost.jfrog.com · its alternatives →
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Tokimeter▲14Local usage analytics for Claude, Codex, Cursor, Grok & More
Aug 2026 · tokimeter.com · its alternatives →
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Tl;dr: I trained a classifier to route to the least expensive model and reasoning depth to complete the request. Coupling that with additional automated token efficiency techniques has yielded 3x usage for the same spend. For anyone interested in trying it themselves: https://nerfguard.com Various teammates and I switched over to Codex from Claude Code recently. We still bounce between the tools, but Codex’s speed and steerability coupled with performance gains were hard to ignore. One of the downsides was that the per token pricing kicked in way sooner. This is happening across…
Jun 2026 · its alternatives →
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Hey HN - there are lots of tools to understand how many tokens you use and how much it costs, but we haven't found any that tell you where those tokens are going! Decant helps you understand what you are spending tokens on (context gathering, planning, code, chat, etc), so you can optimize it.
Aug 2026 · github.com · its alternatives →
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I built Hydra because I kept losing my flow when Claude Code hit usage limits mid-task. I would copy context, open another tool, and then re-explain everything. This would be super annoying for me. Hydra wraps your AI coding CLIs (Claude Code, Codex, OpenCode, Pi, or any terminal-based tool) in a single command. It monitors terminal output for rate limit patterns, and when one provider runs out, you switch to another with one keypress. Your conversation history, git diff, and recent commits are automatically copied to your clipboard so you can paste and keep going. The fallback chain is…
Apr 2026 · github.com · its alternatives →
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Hi HN, I'm building Librarian (https://uselibrarian.dev/), an open-source (MIT) context management tool that stops AI agents from burning tokens by blindly re-reading their entire conversation history on every turn. The Problem: If you're building agentic loops in frameworks like LangGraph or OpenClaw, you hit two walls fast: Financial Cost: Token usage scales quadratically over long conversations. Passing the whole history every time gets incredibly expensive. Context Rot: As the context window fills up, the LLM suffers from the "Lost in the Middle" effect. Response latency…
Feb 2026 · uselibrarian.dev · its alternatives →
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Hi HN! Token cost has started to become a high topic of concern to all of us. I tried a few (awesome) tools such as rtk, caveman, and the recent (hillarious but effective) ponytail. What they usually do, is in-line token reduction, e.g. try to compress requests / responses as much as possible. But then it hit me (and I’m sure others had similar ideas) - just like we have routers that pick the right model, why not have something that will also narrow down the amount of available tools, skills and mcps based on repo/context? People usually accumulate skills, agents, MCP servers,…
Jun 2026 · github.com · its alternatives →
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Save 30% token costs when using Claude Code, Codex, OpenCode for free - with open source, local semantic search. Works for small and large codebases and monorepos! Enterprise-ready and fully compliant via Ollama and SQLite-vec. - ory/lumen
Mar 2026 · github.com · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →