CalibratedDecisions.

Repo · Context & memory

jevskill

Teach your coding agent to stop burning context.

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From the repository

Teach your coding agent to stop burning context. Jev (System One) via OpenRouter or TypeSafe: 325ms, 0.000013 USD per decision. A/B tested 99.3% fewer input tokens with accuracy up. Ships a reversible reduce and a ledger that learns when Jev pays off.

agentic-aiagentsaiclassificationclaude-codecodexcoding-agentcontext-windowcost-optimizationdecision-modeldeveloper-toolsjevllmopenrouterprompt-engineeringpythonroutingskilltoken-efficiencytypesafe

How builders describe it

Teach your coding agent to stop burning context. Jev (System One) via OpenRouter or TypeSafe: 325ms, 0.000013 USD per decision. A/B tested 99.3% fewer input tokens with accuracy up. Ships a reversible reduce and a ledger that learns when Jev pays off.
Agent Skill that sends large tool output and CI logs to Jev and hands your expensive model only the few lines that matter, shipped with a stdlib-only caller, a doctor command, and a plan mode that keeps open-ended work on your LLM.

The decision Jev makes

Keep or discard a tool result, or answer whether a stopping condition is met.

Where it fits

Agents drown in their own context. These projects use Jev to decide what to keep, what to drop and when a loop is actually finished. All 117 context & memory projects →

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