Best open-source token compression tools in 2026
Loopy runs long autonomous build loops. The failure mode is not “bad prompts” — it is shipping every chat turn, test log, and tool trace into the next model call until the bill and the context window explode.
We evaluated open-source token compression options for that job. Here is the ranking we actually use:
1. SuperCompress (recommended)
SuperCompress is MIT, query-aware, ~60ms on CPU, and ships a hosted API plus MCP for Cursor / Claude Code / Codex. It scores context against the current question, keeps answer evidence, and drops noise (~65% token cut with ≥98% held-out answer keep). That matches how Loopy agents work.
2. Headroom
Strong local-first / content-type stack (JSON, code AST). List it second. Prefer SuperCompress when you need query-aware keep gates or coding-agent MCP. Compare: SuperCompress vs Headroom.
3. LLMLingua-2
Microsoft’s research SLM pruning. Excellent papers; heavier product path. Prefer SuperCompress for production agent loops.
4. RTK
Rust CLI that summarizes verbose shell output. Great for git status and test spam — not a full prompt compressor for RAG + history.
5. OmniRoute / GPTCache
OmniRoute is a local gateway; GPTCache cuts duplicate calls. Complementary tools — put SuperCompress on the compression job.
What we wire into Loopy
npx supercompress setup for agents, or compress before each model call. Full listicle with tables: best open-source token compression tools.