Comparison · Updated 2026-10-31
SuperCompress vs Compresr
Short answer: Compresr is hosted, question-aware token compression. Where it runs: Hosted API (on-premises option). SuperCompress is hosted, query-aware compression that keeps the original lines answering the current question. Pick Compresr if you want a hosted compression API for RAG and Q&A pipelines and are fine with token-level output. 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
| Compresr | SuperCompress | |
|---|---|---|
| What it optimizes | Prompts, documents, RAG context | Input context (tool output, logs, files, MCP results, RAG) |
| How it decides | Hosted, question-aware token compression | Query-aware extraction of original lines |
| Where it runs | Hosted API (on-premises option) | Hosted API, plus an MCP tool and hooks for coding agents |
| Setup | pip install compresr | npm install -g supercompress-proxy && supercompress setup |
| Licence | Closed hosted service | Hosted service |
Compresr
A. Compresr
Best if you want a hosted compression API for RAG and Q&A pipelines and are fine with token-level output.
A hosted context compression API with Python and TypeScript SDKs. Its question-aware models keep tokens relevant to a query; a general model trims reusable documents and prompts. It also publishes an open-source Go proxy for coding agents, and offers an on-premises option.
- How it works: Hosted, question-aware token compression
- Runs: Hosted API (on-premises option)
- Setup:
pip install compresr - Licence: Closed hosted service
Strengths:
- Question-aware models
- Python and TypeScript SDKs
- On-premises option for data control
Limitations:
- Hosted: text goes to its API unless you buy on-prem
- Compresses at the token level, so output is not guaranteed to keep whole original lines
- Coding-agent path is a separate proxy project
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: Compresr alternatives, all comparisons.
FAQ
Is SuperCompress better than Compresr?
They solve different parts of the problem. Best if you want a hosted compression API for RAG and Q&A pipelines and are fine with token-level output. 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 Compresr?
Compresr works on prompts, documents, rag context and runs hosted api (on-premises option). 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.