From 1243b186e1b21c293f79b163b623fed8aaea80bc Mon Sep 17 00:00:00 2001 From: Grivn Date: Sat, 20 Jun 2026 16:24:20 +0000 Subject: [PATCH] docs: complete supported agent vision diagram Update the English and Chinese README vision sections so the multi-agent diagram and support summary include the currently documented setup targets, including TRAE/TRAE Work, Qoder/QoderWork, Hermes Agent, Codex, Cursor, and Nanobot. Validation: not run; documentation-only change. --- README.md | 20 +++++++++++++------- docs/zh/README.md | 20 ++++++++++++++++++-- 2 files changed, 31 insertions(+), 9 deletions(-) diff --git a/README.md b/README.md index 4d753ff..e821b05 100644 --- a/README.md +++ b/README.md @@ -233,7 +233,7 @@ memory is useful. - **Zero user-side operation** — install once; supported runtimes can use hooks, minimal runtimes can use persistent rules - **LLM-supervised** — the host LLM decides what to remember, update, and forget; no embedded LLM, no API keys -- **Multi-framework support** — Claude Code, Codex, Cursor, Qoder, and QoderWork (hooks), OpenClaw (plugins), Pi (extensions), Nanobot (skills), and more +- **Multi-framework support** — Claude Code, Codex, Cursor, TRAE/TRAE Work, Qoder/QoderWork, and Hermes Agent (hooks), OpenClaw (plugins), Pi (extensions), Nanobot (skills), and more - **Markdown-installable harness** — `SKILL.md`, `INSTALL.md`, `GUIDELINE.md`, and four lifecycle reminders - **Four-graph architecture** — temporal, entity, causal, and semantic edges, not just vector similarity - **Intent-native protocol** — three primitives (`remember`, `link`, `recall`) map to the LLM's cognitive vocabulary, not database syntax; structured JSON output with signal transparency @@ -254,10 +254,16 @@ All your local agentic AIs — across sessions and frameworks — sharing one po │ Cursor ───────┤ │ + TRAE ─────────┤ + │ + TRAE Work ────┤ + │ Qoder ────────┤ │ QoderWork ────┤ │ + Hermes Agent ─┤ + │ OpenClaw ─────┤ │ Pi ───────────┤ @@ -272,12 +278,12 @@ All your local agentic AIs — across sessions and frameworks — sharing one po ``` The foundation is in place: a single `~/.mnemon` database that any agent can -read and write. Claude Code, Codex, Cursor, Qoder, and QoderWork setup automate hook -installation; OpenClaw can use plugin hooks; Pi integrates via native skills -and TypeScript lifecycle extensions; Nanobot integrates via skill files; -NanoClaw integrates via container skills and volume mounts. The same harness can -be installed in any LLM CLI that supports skills, rules, system prompts, or -event hooks. +read and write. Claude Code, Codex, Cursor, TRAE/TRAE Work, Qoder/QoderWork, +and Hermes Agent setup automate hook installation; OpenClaw can use plugin +hooks; Pi integrates via native skills and TypeScript lifecycle extensions; +Nanobot integrates via skill files; NanoClaw integrates via container skills and +volume mounts. The same harness can be installed in any LLM CLI that supports +skills, rules, system prompts, or event hooks. The longer-term direction is a **memory gateway**: protocol decoupled from storage engine. The current SQLite backend is the first adapter; the protocol surface (`remember / link / recall`) can sit on top of PostgreSQL, Neo4j, or any graph database. Agent-side optimization (when to recall, what to remember) and storage-side optimization (indexing, graph algorithms) evolve independently. See [Future Direction](docs/design/08-decisions.md#82-future-direction) for details. diff --git a/docs/zh/README.md b/docs/zh/README.md index 098388e..a13ad46 100644 --- a/docs/zh/README.md +++ b/docs/zh/README.md @@ -196,7 +196,7 @@ Agent 工作，并且只在有用时调用 Mnemon - **零用户操作** — 安装一次；支持 hook 的 runtime 可用 hook，minimal runtime 可用持久规则 - **LLM 监督式** — 宿主 LLM 主动决定记什么、更新什么、遗忘什么；无内嵌 LLM，无 API 密钥 -- **多框架支持** — Claude Code、Codex、Cursor、Qoder 和 QoderWork（hooks）、OpenClaw（plugins）、Pi（extensions）、Nanobot（skills）等 +- **多框架支持** — Claude Code、Codex、Cursor、TRAE/TRAE Work、Qoder/QoderWork 和 Hermes Agent（hooks）、OpenClaw（plugins）、Pi（extensions）、Nanobot（skills）等 - **Markdown 可安装 harness** — `SKILL.md`、`INSTALL.md`、`GUIDELINE.md` 和四个生命周期提醒 - **四图架构** — 时序、实体、因果、语义四种边，不仅仅是向量相似度 - **意图原生协议** — 三个原语（`remember`、`link`、`recall`）映射到 LLM 的认知词汇而非数据库语法；结构化 JSON 输出，带信号透明度 @@ -212,10 +212,26 @@ Agent 工作，并且只在有用时调用 Mnemon ``` Claude Code ──┐ │ + Codex ────────┤ + │ + Cursor ───────┤ + │ + TRAE ─────────┤ + │ + TRAE Work ────┤ + │ + Qoder ────────┤ + │ + QoderWork ────┤ + │ + Hermes Agent ─┤ + │ OpenClaw ─────┤ │ Pi ───────────┤ │ + Nanobot ──────┤ + │ NanoClaw ─────┤ ├──▶ ~/.mnemon ◀── 共享记忆 OpenCode ─────┤ @@ -223,7 +239,7 @@ Agent 工作，并且只在有用时调用 Mnemon Gemini CLI ───┘ ``` -基础已就绪：一个 `~/.mnemon` 数据库，任何 agent 都可以读写。Claude Code setup 可自动安装 hook；OpenClaw 可以使用 plugin hooks；Pi 通过原生 skill 和 TypeScript lifecycle extension 集成；NanoClaw 通过容器技能和卷挂载集成。同一个 harness 可以安装到任何支持 skill、rule、system prompt 或 event hook 的 LLM CLI。 +基础已就绪：一个 `~/.mnemon` 数据库，任何 agent 都可以读写。Claude Code、Codex、Cursor、TRAE/TRAE Work、Qoder/QoderWork 和 Hermes Agent setup 可自动安装 hook；OpenClaw 可以使用 plugin hooks；Pi 通过原生 skill 和 TypeScript lifecycle extension 集成；Nanobot 通过 skill 文件集成；NanoClaw 通过容器技能和卷挂载集成。同一个 harness 可以安装到任何支持 skill、rule、system prompt 或 event hook 的 LLM CLI。 更长远的方向是**记忆网关**：协议层与存储引擎解耦。当前 SQLite 后端是第一个适配器；协议面（`remember / link / recall`）可运行在 PostgreSQL、Neo4j 或任何图数据库之上。Agent 侧优化（何时召回、记什么）与存储侧优化（索引、图算法）独立演进。详见[未来方向](design/08-decisions.md#82-未来方向)。