I Gave My Agents a Memory. Two Months of Real Data.NEW
I'm Kobe, a developer. On June 12 my agents got a shared memory layer. 828 sessions later: 212× less hand-carried context, 63% fewer tokens, 7 → 17 projects.
Research
How much of your agent's context window is actually working on the current task?
00 Field report
Two months of production data: what a memory layer actually changes.
01 Understand context window
What actually fills the context window, how Codex and Claude Code manage it, and how it gets polluted turn after turn.
How Agents Work: A Deep Dive Into the Context Window
The LLM is the brain, the harness is the body, and the context window is the whiteboard the brain re-reads before every move.
How dirty is your context window?
The hidden cost is not generation. It is re-feeding stale context until the model stops seeing the current job.
02 Measurement
Low SNR is what you feel every day: slower turns, higher bills, edits that drift. Open a real session and itemize the waste.
Run the Numbers: How Many of the Tokens Your Agent Burns Are Pure Waste
A free local tool for Codex and Claude Code users: see which tokens push the task forward, which are noise, and where the money went.
03 Fix the problem, raise the signal
Save everything, recall exactly what the task needs, warm-start every session — and complex tasks stop falling apart.
A letter from an Echo user: how I turned disposable AI work sessions into compounding intelligence
Long sessions get dumb, memory cannot travel across tools, and intelligence bought with time and dollars disappears. Echo MCP makes it stay.
Echo Mem MCP 101: Echo is very easy to use
Run Agent Doctor, sign in, generate memories, then start Claude Code, Codex, Cursor, CLI, and browser-chat sessions with warm context.
Save and Search Memory with Echo
A practical MCP workflow for saving everything, recalling only the memories that matter, and keeping noise out of the prompt.
Stop re-explaining your project to your AI every session
A fresh session should inherit the repo map, decisions, and constraints without a human clipboard tax.
04 Proof and payoff
Speed you can feel, bills that drop, complex tasks that land — and proof the memory holds up.
What raising your Context SNR buys you
What changes when signal rises: faster starts, smaller prompts, cleaner edits, and less drift.
Evidence-First Memory: EchoMem Reaches 95.8% on LongMemEval
Benchmark evidence that memory can retrieve, cite, and refuse when the answer is not in the record.