Skip to content
Development
Skill

/memory-protocol

Universal protocol for total-agent-memory MCP server. Activate at session start, before any non-trivial task, after every significant action, on errors, and at session end. Relevant whenever the user mentions: memory, recall, past context, decisions history, conventions, lessons

From plugin
total-agent-memory
681 skill7 hooks1 MCP
Install
$ npx -y skills add vbcherepanov/total-agent-memory --skill memory-protocol --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/memory-protocol

Context preview

The summary Claude sees to decide when to auto-load this skill.

Universal protocol for total-agent-memory MCP server. Activate at session start, before any non-trivial task, after every significant action, on errors, and at session end. Relevant whenever the user mentions: memory, recall, past context, decisions history, conventions, lessons

SKILL.md

memory-protocol.SKILL.md
name: memory-protocol
version: 10.5.0
description: >
  Universal protocol for total-agent-memory MCP server.
  Activate at session start, before any non-trivial task, after every significant
  action, on errors, and at session end.
  Relevant whenever the user mentions: memory, recall, past context, decisions
  history, conventions, lessons learned, "продолжаем", "сохранись", "resume",
  or any reference to prior sessions / cross-session knowledge.
  Works with Claude Code, Codex CLI, Cursor, Cline, Continue, Aider,
  Windsurf, Gemini CLI, OpenCode, and any client that speaks MCP.
keywords:
  - memory_recall
  - memory_save
  - session_init
  - session_end
  - kg_add_fact
  - workflow_predict
  - self_rules_context

Memory Protocol — Universal Skill

You have access to a persistent cross-session memory via the **total-agent-memory** MCP server (60+ tools). Knowledge survives between sessions and is shared across agents working on the same project.

This skill is **universal** — the same MCP tools, the same triggers, the same templates work in every supported environment (Claude Code, Codex, Cursor, Cline, Continue, Aider, Windsurf, Gemini CLI, OpenCode). Hooks and sub-agents are environment-specific and documented separately (see `references/hooks-explained.md` and `references/ide-setup.md`).

The five non-negotiables

1. **Session start → `session_init` first, then `memory_recall`.** Always. Skip only if you have already called `session_init` in this session. 2. **Before any non-trivial task → `memory_recall(query, project)`.** Use the recipe instead of guessing the convention. 3. **After every significant action → `memory_save` immediately.** Don't batch. A decision, a fix, a new convention — one save per fact, not one save per session. 4. **On error / bash non-zero / stuck → `learn_error` (or `self_error_log`) with root cause + fix.** Pattern auto-consolidates after 3 occurrences. 5. **End of session → `session_end` with summary + next_steps + pitfalls.**

If you only remember one thing: **`session_init` → `memory_recall` → work → `memory_save` → `session_end`.**

Trigger table — when to call what

| Event | Tool | Why | |---|---|---| | Session opens | `session_init(project)` | Returns previous summary + next_steps + pitfalls and marks them consumed. **Call first.** | | Any task starts | `memory_recall(query, project)` | Recipe-first; never invent a convention twice. | | Before edit/write to a file | `file_context(path)` | Returns risk_score + warnings (past errors on this path, hot spots). | | Before architecture choice | `memory_recall` + `analogize(query, exclude_project)` | Cross-project analogy. | | Bash returns non-zero (and reproducible) | `learn_error(file, error, root_cause, fix, pattern)` | Auto-consolidates to a rule after N≥3. | | Architectural decision made | `save_decision(title, options, criteria_matrix, selected, rationale)` | Structured; auto-tagged `structured`; goes into recall with `decisions_only=True` filter. | | Tech-stack/dependency/config change | `kg_add_fact(subject, predicate, object)` | Temporal; auto-invalidates old facts. | | Solution that other projects could reuse | `memory_save(type='solution', tags=['reusable', '<tech>'])` | Surfaces in `analogize()` for sibling projects. | | Reusable pattern / idiom | `memory_save(type='convention')` | | | Lesson learned (regression / postmortem) | `memory_save(type='lesson')` | Higher recall weight on similar tasks. | | Episode (story of how something was done) | `memory_episode_save(narrative, outcome)` | Narrative form — "what was tried, what failed, what worked". | | Error worth a one-time note | `self_error_log(description, category, fix?)` | Cheaper than `learn_error`; no auto-rule. | | User prompt that should be remembered | `save_intent(prompt, project)` | Auto-captured by hook if installed. | | Major task starting | `workflow_predict(task_description)` | If `confidence < 0.3` ask the user about approach. | | Major task ending | `workflow_track(workflow_id, outcome)` | Trains the predictor. | | "What was the stack at date X?" | `kg_at(timestamp)` | Time-travel query. | | "Find similar in other projects" | `analogize(text, exclude_project)` | Jaccard + Dempster-Shafer fusion. | | Indexing an external repo | `ingest_codebase(path, languages)` | AST tree-sitter, 9 languages. | | Show recent saves chronologically | `memory_timeline(limit)` | Replays session → session. | | Build per-project digest | `memory_wiki_generate(project)` | Markdown to `<MEMORY_DIR>/wikis/<project>.md`. | | Session closes ("сохранись" / "save") | `session_end(session_id, summary, next_steps, pitfalls)` + dual-write to Obsidian if available | Picked up by next `session_init`. |

A complete reference for every tool with arguments, return shape, common mistakes, and short examples is in `references/tool-cheatsheet.md`.

Save discipline (template)

`memory_save` content **must** be a structured digest, not a terminal dump:

ЧТО:        one-line summary
ПРОЕКТ:     project name
ФАЙЛЫ:      absolute paths to the key files
СТЕК:       language/framework/version
ПОДХОД:     3–7 key steps, no filler
НЮАНСЫ:     gotchas, edge cases, what didn't work and why

For `type=decision` add **WHY**: context, alternatives considered, trade-offs, when this rule applies and when it does not.

**Tags must include `["reusable", "<tech>"]`** when the recipe applies to other projects (it surfaces in `analogize()`).

**Length cap: ≤ 30 lines.** If your save is longer, you have not distilled — go again.

Recall discipline

1. `memory_recall(query, project=<current>)` — start with the current project. 2. If empty / contradicting / stale → `analogize(text=query)` for sibling projects. 3. Still empty → `WebSearch` / `context7` / first-principles. 4. **Never guess a convention you can recall.**

If a recalled record names a file/function/flag and you are about to *act on* it (not just answer a question about history), ver

Read more
Ships withtotal-agent-memory

The only memory layer that learns how you work — not just what you said. Persistent, local memory for AI coding agents: Claude Code, Codex CLI, Cursor, any MCP client.

Get the whole plugin
Stats
68
Stars
17
Forks
Active
Maintenance
Python
Language
MIT
License
3h ago
Last commit
7mo ago
Created

Repo: vbcherepanov/total-agent-memory