docs(README): refresh — landing-page icon + 8 runtimes + Canvas v4 + Memory v2 + SaaS surface
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The README was lagging current main: - Top icon was a PNG; switch to the canonical landing-page SVG (matches moleculesai.app + favicon). - Runtime list was 6 (LangGraph, DeepAgents, Claude Code, CrewAI, AutoGen, OpenClaw); main actually ships 8 (add Hermes 4 + Gemini CLI). The "Runtime Compatibility, Compared" table now lists all 8. - Canvas section: add the v4 warm-paper theme system (light/dark/follow-system, terminal/code surfaces stay dark unconditionally). - Platform section: name the typed-discriminated-union A2A response path (RFC #2967). - Runtime section: add Memory v2 (pgvector semantic recall), thin AMI mention. - New SaaS section under "What Ships In `main`" — multi-tenant on EC2 + Neon + Cloudflare Tunnels, KMS, WorkOS, Stripe, tenant_resources audit + 30-min reconciler. Points users at molecule-controlplane. - Architecture diagram: provisioner is "Docker (local) / EC2 + SSM (prod)" — Fly is decommissioned. Add SaaS control plane block. - Deploy buttons + quick-start: Molecule-AI/molecule-monorepo URLs replaced with molecule-core (the repo was renamed). - "Current Scope" footer: 6 → 8 adapters; mention Canvas v4, Memory v2, RFC #2967, and cross-link molecule-controlplane. Adds two SVGs to docs/assets/branding/: molecule-icon.svg (rounded square, prefers-color-scheme aware) and molecule-logo.svg (bare lines, transparent).
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Hongming Wang
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README.md
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README.md
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<div align="center">
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<p>
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<img src="./docs/assets/branding/molecule-icon.png" alt="Molecule AI Icon Logo" width="160" />
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<img src="./docs/assets/branding/molecule-icon.svg" alt="Molecule AI" width="160" />
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</p>
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<p>
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@ -39,8 +39,8 @@
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<a href="./docs/agent-runtime/workspace-runtime.md"><strong>Workspace Runtime</strong></a>
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</p>
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[](https://railway.app/new/template?template=https://github.com/Molecule-AI/molecule-monorepo)
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[](https://render.com/deploy?repo=https://github.com/Molecule-AI/molecule-monorepo)
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[](https://railway.app/new/template?template=https://github.com/Molecule-AI/molecule-core)
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[](https://render.com/deploy?repo=https://github.com/Molecule-AI/molecule-core)
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</div>
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@ -53,8 +53,8 @@ Molecule AI is the most powerful way to govern an AI agent organization in produ
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It combines the parts that are usually scattered across demos, internal glue code, and framework-specific tooling into one product:
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- one org-native control plane for teams, roles, hierarchy, and lifecycle
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- one runtime layer that lets LangGraph, DeepAgents, Claude Code, CrewAI, AutoGen, and OpenClaw run side by side
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- one memory model that keeps recall, sharing, and skill evolution aligned with organizational boundaries
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- 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
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- one memory model that keeps recall, sharing, and skill evolution aligned with organizational boundaries (Memory v2 backed by pgvector for semantic recall)
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- one operational surface for observing, pausing, restarting, inspecting, and improving live workspaces
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Most teams can build a workflow, a strong single agent, a coding agent, or a custom multi-agent graph.
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@ -75,7 +75,7 @@ You do not wire collaboration paths by hand. Hierarchy defines the default commu
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### 3. Runtime choice stops being a dead-end decision
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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.
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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.
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### 4. Memory is treated like infrastructure
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@ -117,6 +117,8 @@ Molecule AI is not trying to replace the frameworks below. It is the system that
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| **Claude Code** | Shipping on `main` | Real coding workflows, CLI-native continuity | Secure workspace abstraction, A2A delegation, org boundaries, shared control plane |
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| **CrewAI** | Shipping on `main` | Role-based crews | Persistent workspace identity, policy consistency, shared canvas and registry |
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| **AutoGen** | Shipping on `main` | Assistant/tool orchestration | Standardized deployment, hierarchy-aware collaboration, shared ops plane |
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| **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 |
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| **Gemini CLI** | Shipping on `main` | Google Gemini CLI continuity | Workspace lifecycle, A2A, hierarchy-aware collaboration, shared ops plane |
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| **OpenClaw** | Shipping on `main` | CLI-native runtime with its own session model | Workspace lifecycle, templates, activity logs, topology-aware collaboration |
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| **NemoClaw** | WIP on `feat/nemoclaw-t4-docker` | NVIDIA-oriented runtime path | Planned to join the same abstraction once merged; not yet part of `main` |
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@ -182,9 +184,10 @@ The result is not just “an agent that learns.” It is **an organization that
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## What Ships In `main`
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### Canvas
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### Canvas (v4)
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- Next.js 15 + React Flow + Zustand
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- **warm-paper theme system** — light / dark / follow-system, SSR cookie + nonce'd boot script + ThemeProvider; terminal + code surfaces stay dark unconditionally
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- drag-to-nest team building
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- empty-state deployment + onboarding wizard
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- template palette
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### Platform
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- Go/Gin control plane
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- workspace CRUD and provisioning
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- Go 1.25 / Gin control plane (80+ HTTP endpoints + Gorilla WebSocket fanout)
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- workspace CRUD and provisioning (pluggable Provisioner — Docker locally, EC2 + SSM in production)
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- **A2A response path is a typed discriminated union (RFC #2967)** — frozen dataclasses + total parser; 100% unit + adversarial fuzz coverage
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- registry and heartbeats
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- browser-safe A2A proxy
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- team expansion/collapse
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### Runtime
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- unified `workspace/` image
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- adapter-driven execution
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- unified `workspace/` image; thin AMI in production (us-east-2)
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- adapter-driven execution across **8 runtimes** (Claude Code, Hermes, Gemini CLI, LangGraph, DeepAgents, CrewAI, AutoGen, OpenClaw)
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- Agent Card registration
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- awareness-backed memory integration
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- awareness-backed memory integration; **Memory v2 backed by pgvector** for semantic recall
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- plugin-mounted shared rules/skills
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- hot-reloadable local skills
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- coordinator-only delegation path
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- runtime tiers
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- direct workspace inspection through terminal and files
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### SaaS (via [`molecule-controlplane`](https://github.com/Molecule-AI/molecule-controlplane))
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- multi-tenant on AWS EC2 + Neon (per-tenant Postgres branch) + Cloudflare Tunnels (per-tenant, no public ports)
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- WorkOS AuthKit + Stripe Checkout + Customer Portal
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- AWS KMS envelope encryption (DB / Redis connection strings); AWS Secrets Manager for tenant bootstrap
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- `tenant_resources` audit table + 30-min boot-event-aware reconciler — every CF / AWS lifecycle event recorded, claim vs live state diffed
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## Built For Teams That Need More Than A Demo
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Molecule AI is especially strong when you need to run:
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## Architecture
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```text
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Canvas (Next.js :3000) <--HTTP / WS--> Platform (Go :8080) <---> Postgres + Redis
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| |
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| +--> Docker provisioner / bundles / templates / secrets
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Canvas (Next.js 15, warm-paper :3000) <--HTTP / WS--> Platform (Go 1.25 :8080) <---> Postgres + Redis
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| |
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| +--> Provisioner: Docker (local) / EC2 + SSM (prod)
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| +--> bundles · templates · secrets · KMS
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+-------------------- shows --------------------> workspaces, teams, tasks, traces, events
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+------------------------- shows ------------------------> workspaces, teams, tasks, traces, events
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Workspace Runtime (Python image with adapters)
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- LangGraph / DeepAgents / Claude Code / CrewAI / AutoGen / OpenClaw
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- Agent Card + A2A server
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- heartbeat + activity + awareness-backed memory
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Workspace Runtime (Python ≥3.11, image with adapters)
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- 8 adapters: LangGraph / DeepAgents / Claude Code / CrewAI / AutoGen / Hermes / Gemini CLI / OpenClaw
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- Agent Card + A2A server (typed-SSOT response path, RFC #2967)
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- heartbeat + activity + awareness-backed memory (Memory v2 — pgvector semantic recall)
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- skills + plugins + hot reload
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SaaS Control Plane (molecule-controlplane, private)
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- per-tenant EC2 + Neon (Postgres branch) + Cloudflare Tunnel
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- WorkOS · Stripe · KMS · AWS Secrets Manager
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- tenant_resources audit + 30-min reconciler
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```
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## Quick Start
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```bash
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git clone https://github.com/Molecule-AI/molecule-monorepo.git
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cd molecule-monorepo
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git clone https://github.com/Molecule-AI/molecule-core.git
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cd molecule-core
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cp .env.example .env
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# Defaults boot the stack locally out of the box. See .env.example for
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## Current Scope
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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.
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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.
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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.
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Adjacent runtime work such as **NemoClaw** remains branch-level until merged, and this README keeps that distinction explicit on purpose.
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## License
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.accent { fill: #7fe8d6; }
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@media (prefers-color-scheme: light) {
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.bg { fill: #f5f7fa; }
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.accent { fill: #1a8a72; }
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