docs(README): comprehensive refresh — landing-page icon (light/dark SVG) + 8 runtimes + Canvas v4 + Memory v2 + SaaS + channel plugin #5

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claude-ceo-assistant merged 2 commits from docs/readme-comprehensive-refresh-2026-05-06 into staging 2026-05-07 11:46:29 +00:00
4 changed files with 145 additions and 42 deletions

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<div align="center">
<p>
<img src="./docs/assets/branding/molecule-icon.png" alt="Molecule AI Icon Logo" width="160" />
<img src="./docs/assets/branding/molecule-icon.svg" alt="Molecule AI" width="160" />
</p>
<p>
@ -39,8 +39,8 @@
<a href="./docs/agent-runtime/workspace-runtime.md"><strong>Workspace Runtime</strong></a>
</p>
[![Deploy on Railway](https://railway.app/button.svg)](https://railway.app/new/template?template=https://git.moleculesai.app/molecule-ai/molecule-monorepo)
[![Deploy to Render](https://render.com/images/deploy-to-render-button.svg)](https://render.com/deploy?repo=https://git.moleculesai.app/molecule-ai/molecule-monorepo)
[![Deploy on Railway](https://railway.app/button.svg)](https://railway.app/new/template?template=https://git.moleculesai.app/molecule-ai/molecule-core)
[![Deploy to Render](https://render.com/images/deploy-to-render-button.svg)](https://render.com/deploy?repo=https://git.moleculesai.app/molecule-ai/molecule-core)
</div>
@ -53,8 +53,8 @@ Molecule AI is the most powerful way to govern an AI agent organization in produ
It combines the parts that are usually scattered across demos, internal glue code, and framework-specific tooling into one product:
- one org-native control plane for teams, roles, hierarchy, and lifecycle
- one runtime layer that lets LangGraph, DeepAgents, Claude Code, CrewAI, AutoGen, and OpenClaw run side by side
- one memory model that keeps recall, sharing, and skill evolution aligned with organizational boundaries
- one runtime layer that lets **eight** agent runtimes — LangGraph, DeepAgents, Claude Code, CrewAI, AutoGen, **Hermes**, **Gemini CLI**, and OpenClaw run side by side behind one workspace contract
- one memory model that keeps recall, sharing, and skill evolution aligned with organizational boundaries (Memory v2 backed by pgvector for semantic recall)
- one operational surface for observing, pausing, restarting, inspecting, and improving live workspaces
Most teams can build a workflow, a strong single agent, a coding agent, or a custom multi-agent graph.
@ -75,7 +75,7 @@ You do not wire collaboration paths by hand. Hierarchy defines the default commu
### 3. Runtime choice stops being a dead-end decision
LangGraph, DeepAgents, Claude Code, CrewAI, AutoGen, and OpenClaw can all plug into the same workspace abstraction. Teams can standardize governance without forcing every group onto one runtime.
LangGraph, DeepAgents, Claude Code, CrewAI, AutoGen, Hermes, Gemini CLI, and OpenClaw can all plug into the same workspace abstraction. Teams can standardize governance without forcing every group onto one runtime.
### 4. Memory is treated like infrastructure
@ -117,6 +117,8 @@ Molecule AI is not trying to replace the frameworks below. It is the system that
| **Claude Code** | Shipping on `main` | Real coding workflows, CLI-native continuity | Secure workspace abstraction, A2A delegation, org boundaries, shared control plane |
| **CrewAI** | Shipping on `main` | Role-based crews | Persistent workspace identity, policy consistency, shared canvas and registry |
| **AutoGen** | Shipping on `main` | Assistant/tool orchestration | Standardized deployment, hierarchy-aware collaboration, shared ops plane |
| **Hermes 4** | Shipping on `main` | Hybrid reasoning, native tools, json_schema (NousResearch/hermes-agent) | Option B upstream hook, A2A bridge to OpenAI-compat API, multi-provider provider derivation |
| **Gemini CLI** | Shipping on `main` | Google Gemini CLI continuity | Workspace lifecycle, A2A, hierarchy-aware collaboration, shared ops plane |
| **OpenClaw** | Shipping on `main` | CLI-native runtime with its own session model | Workspace lifecycle, templates, activity logs, topology-aware collaboration |
| **NemoClaw** | WIP on `feat/nemoclaw-t4-docker` | NVIDIA-oriented runtime path | Planned to join the same abstraction once merged; not yet part of `main` |
@ -182,9 +184,10 @@ The result is not just “an agent that learns.” It is **an organization that
## What Ships In `main`
### Canvas
### Canvas (v4)
- Next.js 15 + React Flow + Zustand
- **warm-paper theme system** — light / dark / follow-system, SSR cookie + nonce'd boot script + ThemeProvider; terminal + code surfaces stay dark unconditionally
- drag-to-nest team building
- empty-state deployment + onboarding wizard
- template palette
@ -193,8 +196,9 @@ The result is not just “an agent that learns.” It is **an organization that
### Platform
- Go/Gin control plane
- workspace CRUD and provisioning
- Go 1.25 / Gin control plane (80+ HTTP endpoints + Gorilla WebSocket fanout)
- workspace CRUD and provisioning (pluggable Provisioner — Docker locally, EC2 + SSM in production)
- **A2A response path is a typed discriminated union (RFC #2967)** — frozen dataclasses + total parser; 100% unit + adversarial fuzz coverage
- registry and heartbeats
- browser-safe A2A proxy
- team expansion/collapse
@ -204,10 +208,10 @@ The result is not just “an agent that learns.” It is **an organization that
### Runtime
- unified `workspace/` image
- adapter-driven execution
- unified `workspace/` image; thin AMI in production (us-east-2)
- adapter-driven execution across **8 runtimes** (Claude Code, Hermes, Gemini CLI, LangGraph, DeepAgents, CrewAI, AutoGen, OpenClaw)
- Agent Card registration
- awareness-backed memory integration
- awareness-backed memory integration; **Memory v2 backed by pgvector** for semantic recall
- plugin-mounted shared rules/skills
- hot-reloadable local skills
- coordinator-only delegation path
@ -221,6 +225,21 @@ The result is not just “an agent that learns.” It is **an organization that
- runtime tiers
- direct workspace inspection through terminal and files
### SaaS (via [`molecule-controlplane`](https://github.com/Molecule-AI/molecule-controlplane))
- multi-tenant on AWS EC2 + Neon (per-tenant Postgres branch) + Cloudflare Tunnels (per-tenant, no public ports)
- WorkOS AuthKit + Stripe Checkout + Customer Portal
- AWS KMS envelope encryption (DB / Redis connection strings); AWS Secrets Manager for tenant bootstrap
- `tenant_resources` audit table + 30-min boot-event-aware reconciler — every CF / AWS lifecycle event recorded, claim vs live state diffed
### Bring your own Claude Code session (via [`molecule-mcp-claude-channel`](https://github.com/Molecule-AI/molecule-mcp-claude-channel))
- Claude Code plugin that bridges Molecule A2A traffic into a local Claude Code session via MCP
- subscribe to one or more workspaces; peer messages surface as conversation turns; replies route back through Molecule's A2A
- no tunnel, no public endpoint — the plugin self-registers each watched workspace as `delivery_mode=poll` and long-polls `/activity?since_id=…`
- multi-tenant friendly: one plugin install can watch workspaces across multiple Molecule tenants (`MOLECULE_PLATFORM_URLS` per-workspace)
- install via the standard marketplace flow: `/plugin marketplace add Molecule-AI/molecule-mcp-claude-channel``/plugin install molecule-channel@molecule-mcp-claude-channel`
## Built For Teams That Need More Than A Demo
Molecule AI is especially strong when you need to run:
@ -233,24 +252,30 @@ Molecule AI is especially strong when you need to run:
## Architecture
```text
Canvas (Next.js :3000) <--HTTP / WS--> Platform (Go :8080) <---> Postgres + Redis
| |
| +--> Docker provisioner / bundles / templates / secrets
Canvas (Next.js 15, warm-paper :3000) <--HTTP / WS--> Platform (Go 1.25 :8080) <---> Postgres + Redis
| |
| +--> Provisioner: Docker (local) / EC2 + SSM (prod)
| +--> bundles · templates · secrets · KMS
|
+-------------------- shows --------------------> workspaces, teams, tasks, traces, events
+------------------------- shows ------------------------> workspaces, teams, tasks, traces, events
Workspace Runtime (Python image with adapters)
- LangGraph / DeepAgents / Claude Code / CrewAI / AutoGen / OpenClaw
- Agent Card + A2A server
- heartbeat + activity + awareness-backed memory
Workspace Runtime (Python ≥3.11, image with adapters)
- 8 adapters: LangGraph / DeepAgents / Claude Code / CrewAI / AutoGen / Hermes / Gemini CLI / OpenClaw
- Agent Card + A2A server (typed-SSOT response path, RFC #2967)
- heartbeat + activity + awareness-backed memory (Memory v2 — pgvector semantic recall)
- skills + plugins + hot reload
SaaS Control Plane (molecule-controlplane, private)
- per-tenant EC2 + Neon (Postgres branch) + Cloudflare Tunnel
- WorkOS · Stripe · KMS · AWS Secrets Manager
- tenant_resources audit + 30-min reconciler
```
## Quick Start
```bash
git clone https://git.moleculesai.app/molecule-ai/molecule-monorepo.git
cd molecule-monorepo
git clone https://git.moleculesai.app/molecule-ai/molecule-core.git
cd molecule-core
cp .env.example .env
# Defaults boot the stack locally out of the box. See .env.example for
@ -303,7 +328,11 @@ Then open `http://localhost:3000`:
## Current Scope
The current `main` branch already includes the core platform, canvas, memory model, six production adapters, skill lifecycle, and operational surfaces. Adjacent runtime work such as **NemoClaw** remains branch-level until merged, and this README keeps that distinction explicit on purpose.
The current `main` branch ships the core platform, Canvas v4 (warm-paper themed), Memory v2 (pgvector semantic recall), the typed-SSOT A2A response path (RFC #2967), **eight production adapters** (Claude Code, Hermes, Gemini CLI, LangGraph, DeepAgents, CrewAI, AutoGen, OpenClaw), skill lifecycle, and operational surfaces.
The companion private repo [`molecule-controlplane`](https://github.com/Molecule-AI/molecule-controlplane) provides the SaaS surface — multi-tenant orchestration on EC2 + Neon + Cloudflare Tunnels, KMS envelope encryption, WorkOS auth, Stripe billing, and a `tenant_resources` audit table with a 30-min reconciler.
Adjacent runtime work such as **NemoClaw** remains branch-level until merged, and this README keeps that distinction explicit on purpose.
## License

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<div align="center">
<p>
<img src="./docs/assets/branding/molecule-icon.png" alt="Molecule AI 图案 Logo" width="160" />
<img src="./docs/assets/branding/molecule-icon.svg" alt="Molecule AI" width="160" />
</p>
<p>
@ -52,8 +52,8 @@ Molecule AI 是目前最强的 AI Agent 组织治理方案之一,用来把 age
它把过去分散在 demo、内部胶水代码和各类 framework 私有工具里的关键能力,收敛成一个产品:
- 一套组织原生 control plane管理团队、角色、层级和生命周期
- 一套 runtime abstraction让 LangGraph、DeepAgents、Claude Code、CrewAI、AutoGen、OpenClaw 并存运行
- 一套与组织边界对齐的 memory 模型,把 recall、sharing 和 skill evolution 放进同一体系
- 一套 runtime abstraction**8 个** agent runtime —— LangGraph、DeepAgents、Claude Code、CrewAI、AutoGen、**Hermes**、**Gemini CLI**、OpenClaw —— 共用一套 workspace 契约
- 一套与组织边界对齐的 memory 模型,把 recall、sharing 和 skill evolution 放进同一体系Memory v2 由 pgvector 支撑语义召回)
- 一套面向线上 workspace 的运维面,统一完成观测、暂停、重启、检查和持续改进
今天很多团队能做好 workflow、单 agent、coding agent或者自定义 multi-agent graph 中的一种。
@ -74,7 +74,7 @@ Molecule AI 填的就是这个空白。
### 3. Runtime 选择不再是死路
LangGraph、DeepAgents、Claude Code、CrewAI、AutoGen、OpenClaw 都可以挂到同一个 workspace abstraction 下。团队可以统一治理方式,而不必统一到底层 runtime。
LangGraph、DeepAgents、Claude Code、CrewAI、AutoGen、Hermes、Gemini CLI、OpenClaw 都可以挂到同一个 workspace abstraction 下。团队可以统一治理方式,而不必统一到底层 runtime。
### 4. Memory 被当成基础设施来做
@ -116,6 +116,8 @@ Molecule AI 并不是要替代下面这些 framework而是把它们纳入更
| **Claude Code** | `main` 已支持 | 真实编码工作流、CLI-native continuity | 安全 workspace 抽象、A2A delegation、组织边界、共享 control plane |
| **CrewAI** | `main` 已支持 | 角色型 crew 模式清晰 | 持久 workspace 身份、统一策略、共享 Canvas 和 registry |
| **AutoGen** | `main` 已支持 | assistant/tool orchestration | 统一部署、层级协作、共享运维平面 |
| **Hermes 4** | `main` 已支持 | 混合推理、原生工具调用、json_schema 输出NousResearch/hermes-agent | Option B 上游 hook、A2A 桥接 OpenAI 兼容 API、多 provider 自动派生 |
| **Gemini CLI** | `main` 已支持 | Google Gemini CLI 持续会话 | workspace 生命周期、A2A、层级感知协作、共享运维平面 |
| **OpenClaw** | `main` 已支持 | CLI-native runtime自有 session 模型 | workspace 生命周期、templates、activity logs、拓扑感知协作 |
| **NemoClaw** | `feat/nemoclaw-t4-docker` 分支 WIP | NVIDIA 方向 runtime 路线 | 计划并入同一抽象层,但当前还不是 `main` 已合并能力 |
@ -181,9 +183,10 @@ Molecule AI 并不是要替代下面这些 framework而是把它们纳入更
## `main` 分支已经具备什么
### Canvas
### Canvasv4
- Next.js 15 + React Flow + Zustand
- **warm-paper 主题系统** —— light / dark / 跟随系统SSR cookie + nonce'd boot 脚本 + ThemeProvider终端与代码面板始终保持深色
- drag-to-nest 团队构建
- empty state + onboarding wizard
- template palette
@ -192,8 +195,9 @@ Molecule AI 并不是要替代下面这些 framework而是把它们纳入更
### Platform
- Go/Gin control plane
- workspace CRUD 和 provisioning
- Go 1.25 / Gin control plane80+ HTTP 端点 + Gorilla WebSocket fanout
- workspace CRUD 和 provisioning可插拔 Provisioner —— 本地 Docker、生产 EC2 + SSM
- **A2A 响应路径已收敛为类型化的判别联合RFC #2967** —— 冻结 dataclass + 全量 parser100% 单元测试 + 对抗性 fuzz 覆盖
- registry 与 heartbeat
- 浏览器安全的 A2A proxy
- team expansion/collapse
@ -203,10 +207,10 @@ Molecule AI 并不是要替代下面这些 framework而是把它们纳入更
### Runtime
- 统一 `workspace/` 镜像
- adapter 驱动执行
- 统一 `workspace/` 镜像;生产环境采用 thin AMIus-east-2
- adapter 驱动执行,覆盖 **8 个 runtime**Claude Code、Hermes、Gemini CLI、LangGraph、DeepAgents、CrewAI、AutoGen、OpenClaw
- Agent Card 注册
- awareness-backed memory
- awareness-backed memory**Memory v2 由 pgvector 支撑**语义召回
- plugin 挂载共享 rules/skills
- 本地 skills 热加载
- coordinator-only delegation 路径
@ -220,6 +224,21 @@ Molecule AI 并不是要替代下面这些 framework而是把它们纳入更
- runtime tiers
- 终端与文件层面的 workspace 直接排障
### SaaS由 [`molecule-controlplane`](https://github.com/Molecule-AI/molecule-controlplane) 提供)
- 多租户运行在 AWS EC2 + Neon每租户一个 Postgres branch+ Cloudflare Tunnels每租户一条隧道对外不开任何端口
- WorkOS AuthKit + Stripe Checkout + Customer Portal
- AWS KMS 信封加密DB / Redis 连接串AWS Secrets Manager 负责租户 bootstrap
- `tenant_resources` 审计表 + 30 分钟 boot-event-aware reconciler —— 每个 CF / AWS lifecycle 事件都有记录,每 30 分钟比对 claim 与实际状态
### 在 Claude Code 里直接接入(由 [`molecule-mcp-claude-channel`](https://github.com/Molecule-AI/molecule-mcp-claude-channel) 提供)
- 把 Molecule A2A 流量桥接到本地 Claude Code 会话的 MCP 插件
- 订阅一个或多个 workspacepeer 的消息会以 user-turn 出现,回复会经 Molecule A2A 路由出去
- 无需公网隧道、无需公开端点 —— 插件启动时自动把每个 watched workspace 注册成 `delivery_mode=poll`,长轮询 `/activity?since_id=…`
- 多租户友好:单次安装即可同时 watch 跨多个 Molecule 租户的 workspace`MOLECULE_PLATFORM_URLS` 按 workspace 配置)
- 通过标准 marketplace 流程安装:`/plugin marketplace add Molecule-AI/molecule-mcp-claude-channel` → `/plugin install molecule-channel@molecule-mcp-claude-channel`
## 适合什么团队
Molecule AI 特别适合下面这些场景:
@ -232,17 +251,23 @@ Molecule AI 特别适合下面这些场景:
## 架构总览
```text
Canvas (Next.js :3000) <--HTTP / WS--> Platform (Go :8080) <---> Postgres + Redis
| |
| +--> Docker provisioner / bundles / templates / secrets
Canvas (Next.js 15, warm-paper :3000) <--HTTP / WS--> Platform (Go 1.25 :8080) <---> Postgres + Redis
| |
| +--> Provisioner: Docker (本地) / EC2 + SSM (生产)
| +--> bundles · templates · secrets · KMS
|
+-------------------- 展示 --------------------> workspaces, teams, tasks, traces, events
+------------------------- 展示 ------------------------> workspaces, teams, tasks, traces, events
Workspace Runtime (Python image with adapters)
- LangGraph / DeepAgents / Claude Code / CrewAI / AutoGen / OpenClaw
- Agent Card + A2A server
- heartbeat + activity + awareness-backed memory
Workspace Runtime (Python ≥3.11,含 adapter 集合的镜像)
- 8 个 adapter: LangGraph / DeepAgents / Claude Code / CrewAI / AutoGen / Hermes / Gemini CLI / OpenClaw
- Agent Card + A2A servertyped-SSOT 响应路径RFC #2967
- heartbeat + activity + awareness-backed memoryMemory v2 —— pgvector 语义召回)
- skills + plugins + hot reload
SaaS Control Plane (molecule-controlplane私有)
- 每租户 EC2 + Neon (Postgres branch) + Cloudflare Tunnel
- WorkOS · Stripe · KMS · AWS Secrets Manager
- tenant_resources 审计 + 30 分钟 reconciler
```
## 快速开始
@ -296,7 +321,11 @@ npm run dev
## 当前范围说明
当前 `main` 已经包含核心平台、Canvas、memory model、6 个正式 adapter、skill lifecycle 和主要运维面。像 **NemoClaw** 这样的相邻 runtime 路线仍然属于分支级工作,只有合并后才会进入正式支持列表,这里会明确区分。
当前 `main` 已经包含核心平台、Canvas v4warm-paper 主题、Memory v2pgvector 语义召回、typed-SSOT A2A 响应路径RFC #2967)、**8 个正式 adapter**Claude Code、Hermes、Gemini CLI、LangGraph、DeepAgents、CrewAI、AutoGen、OpenClaw、skill lifecycle以及主要运维面。
配套的私有仓库 [`molecule-controlplane`](https://github.com/Molecule-AI/molecule-controlplane) 提供 SaaS 层 —— 多租户编排EC2 + Neon + Cloudflare Tunnels、KMS 信封加密、WorkOS 鉴权、Stripe 计费,以及 `tenant_resources` 审计表加 30 分钟 reconciler。
**NemoClaw** 这样的相邻 runtime 路线仍然属于分支级工作,只有合并后才会进入正式支持列表,这里会明确区分。
## License

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