Comparison · Updated 2026-10-31
SuperCompress vs Tokenade
Short answer: Tokenade is retrieval plus output filtering plus compression. Where it runs: Locally (binary with agent hooks). SuperCompress is hosted, query-aware compression that keeps the original lines answering the current question. Pick Tokenade if you want one local binary that bundles several token levers (search, filtering, compaction) across many agents. Pick SuperCompress if your agent keeps pulling big tool results, logs or retrieved docs and only a few lines matter for the question at hand, and you want those lines kept verbatim.
Side by side
| Tokenade | SuperCompress | |
|---|---|---|
| What it optimizes | Tool calls, file reads, command and MCP output | Input context (tool output, logs, files, MCP results, RAG) |
| How it decides | Retrieval plus output filtering plus compression | Query-aware extraction of original lines |
| Where it runs | Locally (binary with agent hooks) | Hosted API, plus an MCP tool and hooks for coding agents |
| Setup | See the Tokenade install guide | npm install -g supercompress-proxy && supercompress setup |
| Licence | MIT or Apache-2.0 | Hosted service |
Tokenade
A. Tokenade
Best if you want one local binary that bundles several token levers (search, filtering, compaction) across many agents.
A local Rust binary that sits between an agent and its tools, combining code search, output filtering, skeleton compression, sandboxed execution and MCP proxying, with a savings dashboard. MIT or Apache-2.0. Its author also maintains the THOL leaderboard it cites, and discloses that.
- How it works: Retrieval plus output filtering plus compression
- Runs: Locally (binary with agent hooks)
- Setup:
See the Tokenade install guide - Licence: MIT or Apache-2.0
Strengths:
- Local and dependency-light
- Bundles several mechanisms in one install
- Publishes agent-facing install briefs
Limitations:
- The benchmark it leads is maintained by its own author (disclosed)
- Many mechanisms means more behaviour to understand and tune
- Not query-aware extraction of a single large result
SuperCompress
B. SuperCompress (our product)
Best if your agent keeps pulling big tool results, logs or retrieved docs and only a few lines matter for the question at hand, and you want those lines kept verbatim.
Hosted, query-aware context compression. Your agent or app sends a bulky block (tool output, a log, a diff, a file read, an MCP result, retrieved docs) with the current question, and the hosted Neural Keep model keeps the original lines that answer it, word for word, and drops the rest.
- How it works: Query-aware extraction of original lines
- Runs: Hosted API, plus an MCP tool and hooks for coding agents
- Setup:
npm install -g supercompress-proxy && supercompress setup - Licence: Hosted service
Strengths:
- Keeps original lines verbatim, so error messages, paths, IDs and code survive exactly
- Query-aware: what is kept depends on the current question, not only on the content type
- One setup command wires an MCP tool into each detected coding agent (Claude Code, Cursor, Codex, Windsurf, Cline, Gemini CLI, OpenCode and more), plus hooks where supported
- HTTP API returns original_tokens and kept_tokens so you can measure on your own traffic
- Works with any model provider because the output is plain text
Limitations:
- Hosted: the context you compress is sent to the SuperCompress API
- Compresses input only; it does not change how verbose model replies are
- Not a code index or retrieval system; it shrinks what is already being sent
How to test any of these fairly
Every tool here, including ours, publishes its own numbers. Fewer tokens do not always mean a smaller bill once prompt caching, retries and extra agent turns are counted. Run the same tasks with and without a tool, check the tasks still succeed, and compare cost per finished task on your provider bill.
Disclosure: SuperCompress publishes this page and is listed first because it is ours. Every claim about other tools comes from their own docs or repositories as of 2026-10-31; tell us if anything is out of date and we will fix it.
See also: Tokenade alternatives, all comparisons.
FAQ
Is SuperCompress better than Tokenade?
They solve different parts of the problem. Best if you want one local binary that bundles several token levers (search, filtering, compaction) across many agents. Best if your agent keeps pulling big tool results, logs or retrieved docs and only a few lines matter for the question at hand, and you want those lines kept verbatim.
What is the main difference between SuperCompress and Tokenade?
Tokenade works on tool calls, file reads, command and mcp output and runs locally (binary with agent hooks). SuperCompress works on input context and is hosted.
Can I use both?
Usually, if they act on different tokens. Measure cost per finished task with each on and off.