Edge-native Token Compression

Compress prompts. Keep context. Save tokens.

Edgee compresses prompts sent to coding agents like Claude Code, Codex, and OpenCode. Up to 50% token cost savings, semantically lossless, under 15ms P50 overhead at the edge.

Install Read the technical doc

# Claude Code runs Bash; Edgee compresses the tool result

>Bash({"command":"ls -la src/)
# Raw stdout (~980 tokens) — permissions, owners, timestamps…
-rw-r--r--@ 1 dev staff 1885 Apr 22 20:51 agent-card.tsx
-rw-r--r--@ 1 dev staff 2681 Mar 18 10:25 button.tsx
-rw-r--r--  1 dev staff 1755 Jan 14  2025 card.tsx
-rw-r--
  • 60-80% tool result compression on typical coding agent sessions
  • <15ms P50 overhead compression time at the edge
  • 100% output quality semantically lossless on code tasks
  • 0 code changes drop-in CLI wrapper

How Edgee compresses prompts

Compression happens at the edge, between your coding agent and the LLM provider. We apply a multi-pass pipeline that reduces token count while preserving semantic intent.

  1. Prompt ingress
    Your Claude Code call hits the nearest Edgee edge node.

  2. Tool result compression
    File contents, grep results, shell command output, and API responses are compressed.

  3. Forward to provider
    The compressed prompt is sent to Claude / OpenAI with your original API key.

Compression is designed to be semantically lossless for code-oriented tasks. We validated this on a suite of coding benchmarks where the compressed prompt produced outputs statistically indistinguishable from the original.

Compression is not magic: extremely short prompts compress less, and some highly structured prompts (e.g., tool-use schemas) are passed through without compression to avoid altering their meaning. When in doubt, Edgee skips compression. We'd rather save you 30% reliably than 60% with occasional quality hits.

Drop-in install

Install the CLI once. Launch any supported coding agent through it. Compression runs per session.

Supported Coding Agents

  • Claude Code
    Compression applied to every prompt sent to Anthropic. Full CLAUDE.md + MCP compatibility.

  • OpenAI Codex
    Compresses requests to Codex models while preserving tool-use schemas.

  • OpenCode
    Compression runs transparently on every OpenCode session.

# Install the Edgee CLI
curl -fsSL https://edgee.ai/install.sh | bash

# Launch Claude Code through the compression proxy
dgee launch claude

Measure every saved token

Every session reports its compression ratio, tokens saved, and estimated cost avoided.

  • Per-session compression ratio
  • Tokens saved over time
  • Cost avoided estimation

Compression ratio
39% avg, last 30 days
Cost avoided
$142
3.8M tokens saved

Technical FAQ

Is the compression semantically lossless?

What's the latency overhead?

Does compression affect streaming responses?

Is my prompt data stored anywhere?

How is this different from context pruning in the coding agent itself?

Stop sending verbose prompts. Start compressing.

Works with your existing API keys and plans. No lock-in.