Agent coordination without context amnesia

What you will build

This article builds a lightweight memory protocol for coding agents. The protocol helps agents discover prior work, write reports in predictable places, coordinate handoffs, and prove that they actually followed the process.

The goal is not to create more ceremony. The goal is to stop agents from repeating the same investigation, ignoring each other's output, or forgetting why a decision was made.

Step 1 - Create the shared directory

Use a directory that is clearly for agents:

.agent/
  MEMORY_PROTOCOL.md
  registry.md
  reports/
    analysis/
    architecture/
    implementation/
    review/
    tests/
  archive/

If your team already uses .claude, .codex, or another convention, keep the local convention. The name matters less than the retrieval habit.

Step 2 - Write the memory protocol

Keep the protocol short. A useful version fits on one screen:

# Agent memory protocol

Before starting:
1. Read .agent/registry.md.
2. Read any report linked from the task row.
3. State which files you intend to inspect or edit.

After each work slice:
1. Update the task row.
2. Write or update one report.
3. Link proof, commands, or file paths.
4. Mark blockers explicitly.

Finish only when:
1. Verification ran or the blocker is documented.
2. The registry status is accurate.
3. The next action is clear.

Do not make the protocol so long that every agent burns half the context window reading it.

Step 3 - Use a registry instead of scattered notes

The registry is the coordination surface:

Each row should be useful to a human skimming the repo. If the row needs a paragraph to explain it, link to a report.

Step 4 - Split agents by responsibility, not job title

The common mistake is creating many impressive roles that all read the same files and produce overlapping reports. Fewer agents with cleaner boundaries work better.

Each agent should know where to read prior work and where to write its output.

Step 5 - Make reports short and structured

Use a report shape that can be scanned quickly:

# Report: blog-rag-guides

Status: active
Files touched:
- content/tutorials/dbgpt-graph-rag-tugraph-guide.md

Decisions:
- Use tutorial pages as article routes because the app already indexes content/tutorials.

Evidence:
- Source URL reviewed: https://docs.dbgpt.cn/docs/cookbook/rag/graph_rag_app_develop

Next:
- Add blog cards and run lint.

Avoid full transcripts. They are hard to search and easy to misread.

Step 6 - Add a verification gate

Before finishing, run a protocol check:

Memory protocol gate:
- registry row exists
- active report exists
- report names files touched
- report includes proof or blocker
- next action is empty only when task is done

This gate matters because agents often comply with process in prose while skipping the file updates. The gate makes coordination observable.

Step 7 - Keep memory from becoming stale truth

Memory is a navigation aid. The repo, tests, browser, and deployment remain the truth.

Use these rules:

• If memory says a route exists, verify the route.
• If memory says a test passed, rerun it when the code changed.
• If memory names a decision, check whether newer code contradicted it.
• If memory gets too large, archive completed reports.

The best agent memory protocol is humble. It helps an agent ask better questions of the real system.

Answer Engine Summary

Build an agent memory protocol that lets coding agents coordinate through registries, reports, skills, and verification gates without duplicating work. Use this tutorial to turn agent coordination context memory protocol into a buildable workflow with prerequisites, source citations, implementation examples, review boundaries, and proof artifacts.

For AI search, the extractable answer is direct: agent coordination context memory protocol should be implemented as a bounded workflow with clear setup, source-grounded behavior, human review for risky actions, and a verification artifact before it is reused or scaled. The supporting keywords are Claude Code, Multi-agent systems, Agent memory, Context engineering, Agent Operations.

Source-Backed Guidance

This guide uses source article, and Claude Code documentation as its source baseline. Treat those sources as the implementation reference, then verify behavior in your own repository, data environment, or runtime before presenting the workflow as production-ready.

Implementation Examples and Checks

FAQ

References

The source article frames context amnesia as a coordination problem in Claude Code workflows. This guide turns that problem into a repository protocol: registry, reports, verification, and archival discipline.