Reduce AI costs.
encodr sits between your application and the model, intelligently funneling input before it’s ever billed, a simple drop in system locally for your agents.
Pay for the tokens that matter.
Slide the compression engine below to simulate how encodr distills massive, raw agent tool logs, CSV outputs, or git diffs into pure semantic signal before sending it downstream.
Signal Models
SNR v1 is a keep–drop classifier trained on a Modern Bidirectional Encoder (Dec 2024) backbone, purpose-built for real-time, zero-overhead context optimization.
Dynamic signal architecture.
It scores every token’s contribution to the signal and drops the rest before a request is ever billed. Every token is evaluated in a single forward pass — no summarization step, no round trip to a second model.
Built for how agents actually run.
Simple
One command wraps your agent — no config, no rewrites.
Fast
Compression runs in milliseconds, in front of the request.
Private
Deploy on-premise. Nothing has to leave your infrastructure.
Local run
encodr runs entirely on your machine — nothing is sent to us.
Wrap mode
Turn compression on or off any time, per agent, with a single flag.
Wherever tokenmaxxing piles up.
AI agents & startups
Compress tool output and memory before every reasoning step, not just the first one.
Coding assistants & vibe coding
Keep the diff, drop the noise — built for Claude Code, Codex, and more.
Large software teams
Use across your whole team. Get custom dashboards set up for org-wide visibility.
RAG pipelines
Cut redundant, overlapping retrieved documents before they reach the model.
No sales call to see the price.
- Completely free — yes, really
- Runs 100% locally on your machine
- No neural network required
- Our strongest signal model
- Dedicated support
- $2/mo flat on a Claude Code plan — keep all the savings
- Or pay only 5% of what we save you, for API & custom agents
- Converse with us — we custom-implement your SLA
- Deployed locally, on-prem
- Team & company-wide token monitoring, custom-built