Context engineering · Agent handoff
Autocompaction is not memory
Built-in context compaction helps an individual agent survive a long chat. A local handoff control plane helps a team preserve the operational state that the next agent needs to act safely.
Short answer: larger context windows and automatic chat summaries delay context failure. They do not make state portable, auditable, or shared across Claude Code, Codex, Cursor, Windsurf, a remote Mini, and background MCP workflows.
What built-in autocompaction does well
Long-running coding agents already summarize. That is useful. A product-level compaction pass can keep a conversation moving after the raw context becomes too large.
But the summary is usually local to one product session. It is optimized for keeping the current conversation alive, not for handing the work to a different agent surface with approvals, risks, and exact values intact.
The missing layer is operational handoff
A team workflow needs something stricter than a narrative summary after context pressure is already high. It needs a handoff contract that preserves what the next agent must know before it acts.
For us, that means a local handoff MCP that can preserve:
- the objective and done condition;
- loaded instructions and constraints;
- approval state;
- exact values that must not drift;
- risks and red flags;
- actions already taken;
- errors and fixes;
- the next recommended step;
- what the next agent should not redo.
Autocompaction vs local handoff MCP
| Capability | Built-in autocompaction | Local handoff MCP |
|---|---|---|
| Scope | Usually one product session | Shared workspace protocol |
| Timing | Often after context pressure is high | Pre-score before the window is full |
| State | Narrative summary | Operational contract with approvals and risks |
| Portability | Product-specific | Claude Code, Codex, Cursor, and Windsurf vocabulary |
| Measurement | Usually opaque | Resume success, re-read rate, token estimate, and leak rate |
Why 1M context is not enough
A 1M context window is valuable. It lets the agent keep more code, logs, source material, and prior reasoning available before it needs compression.
But it does not solve the coordination problem. A larger window delays the failure mode. It does not automatically mark which facts are trusted, which approvals were granted, which values must not change, or what a fresh agent should avoid redoing.
The real product is not compression. It is continuity.
The mechanism we are building
- Pre-score before the context window is full.
- Trigger red flags when approvals, secrets, live ops, or exact values are at risk.
- Write a structured handoff contract, not a vibe summary.
- Resume with a blind gate: can a fresh agent continue from the handoff alone?
- Measure resume success, re-read rate, token estimate, and leak rate.
Sources
Two axes nobody measures in coding-agent stacks
The local measurement frame behind byte saving, cache-friendliness, and prompt-context economics.
[2] Agentic engineeringAgentic engineering for marketing teams
The shared operator vocabulary for Claude Code, Codex, Cursor, Windsurf, n8n, MCP, proof loops, and quality gates.
[3] Failure loopsAI agent failure loops
The QA and stop-rule note behind red-first gates, blind validation, rejected examples, and failure-loop control.
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