GitHub renders `<org>/.github/profile/README.md` as the org's public landing page. Mirroring the same path here on Gitea so once GitHub access is restored and repo-sync pushes this content over, it lands in the right place automatically — no path translation step. ## Adds - `profile/README.md` — comprehensive org-level intro (different from molecule-core's product-deep README): pitch in 1 paragraph, "what we ship" in 4 bullets, "where to start" routing table, repos-in-this-org index split by purpose (product / adapters / marketing), license + community footer. - `profile/assets/molecule-icon.svg` — same SVG that landed on molecule-core's README in PR #5; light/dark adaptive via prefers-color-scheme styles. - `profile/assets/molecule-logo.svg` — wordmark variant. ## Updates - `README.md` (repo root, not user-visible on the org page) — documents the layout convention + lists the other cross-org defaults GitHub picks up from `<org>/.github/` (CONTRIBUTING.md, SECURITY.md, SUPPORT.md, issue/PR templates, workflow templates) so a future contributor knows where to add things. ## Why this content shape GitHub org-profile READMEs are user-visible on the org's public page. Standard wisdom for that surface: - short — 1-2 screens, not the deep product pitch (which lives at molecule-core) - routes the reader to the right repo for what they actually want (product / SaaS / Claude integration / docs / new runtime) - lists the major repos with one-line descriptions so a visitor can navigate without 30 tabs - names the license model (BSL 1.1 → Apache 2.0 on 2029-01-01) The "Where to start" table is the load-bearing piece — the rest is context. If a visitor only reads the table, they still know where to go. ## Out of scope (parked) - CONTRIBUTING.md, SECURITY.md, SUPPORT.md — would normally live here too. Skipping for now; current per-repo guidance is fine. File when the org has enough cross-cutting policy to warrant it. - GitHub Actions workflow templates — not relevant while we're on Gitea + operator-host deploys. 🤖 Generated with [Claude Code](https://claude.com/claude-code)
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71 lines
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<div align="center">
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<p>
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<img src="./assets/molecule-icon.svg" alt="Molecule AI" width="160" />
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</p>
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<h1>Molecule AI</h1>
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<h3>The Org-Native Control Plane for Heterogeneous AI Agent Teams</h3>
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<p>
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Molecule AI is the operating system for AI agent organizations. One control plane, eight runtimes, organization-aware memory, real ops surfaces — built for teams that want to move past the demo.
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</p>
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<p>
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<a href="https://moleculesai.app"><strong>moleculesai.app</strong></a> ·
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<a href="https://github.com/Molecule-AI/molecule-core"><strong>molecule-core</strong></a> ·
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<a href="https://github.com/Molecule-AI/molecule-mcp-claude-channel"><strong>Claude Code plugin</strong></a> ·
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<a href="https://github.com/Molecule-AI/molecule-core/blob/main/docs/index.md"><strong>Docs</strong></a>
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</p>
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</div>
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---
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## What we ship
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- **Org-native workspace abstraction** — every node is a role with persistent identity, memory boundary, hierarchy position, and A2A interface. Workspaces grow into teams without breaking external integrations.
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- **Eight production agent runtimes** behind one workspace contract — Claude Code, Hermes 4, Gemini CLI, LangGraph, DeepAgents, CrewAI, AutoGen, OpenClaw. Mix them across teams without giving up shared governance.
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- **Memory v2** with pgvector semantic recall, scoped to organizational boundaries (`LOCAL` / `TEAM` / `GLOBAL`). Memories promote into hot-loadable skills as workflows mature.
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- **A real operational plane** — Canvas v4 (warm-paper themed), live activity streams, restart/pause/resume, terminal + files into running workspaces, Langfuse traces, the whole picture.
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## Where to start
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| If you want to … | Go to |
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|---|---|
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| Read the pitch + run it locally | [`molecule-core`](https://github.com/Molecule-AI/molecule-core) — Apache 2.0-converting BSL 1.1, Quick Start in 5 commands |
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| Try the hosted SaaS | [moleculesai.app](https://moleculesai.app) — multi-tenant, EC2 + Cloudflare Tunnels, WorkOS auth, Stripe billing |
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| Bridge a Claude Code session into a Molecule workspace | [`molecule-mcp-claude-channel`](https://github.com/Molecule-AI/molecule-mcp-claude-channel) — `/plugin marketplace add Molecule-AI/molecule-mcp-claude-channel` |
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| Browse the architecture | [docs/architecture/architecture.md](https://github.com/Molecule-AI/molecule-core/blob/main/docs/architecture/architecture.md) |
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| See the memory model | [docs/architecture/memory.md](https://github.com/Molecule-AI/molecule-core/blob/main/docs/architecture/memory.md) |
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| Add a new runtime / template | [`molecule-ai-workspace-runtime`](https://github.com/Molecule-AI/molecule-ai-workspace-runtime) (mirror of `workspace/`) + the `molecule-ai-workspace-template-*` repos |
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## Repos in this org
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### Product
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- **[`molecule-core`](https://github.com/Molecule-AI/molecule-core)** — the platform. Go control plane + Next.js Canvas + Python workspace runtime. Open source under BSL 1.1 (converts to Apache 2.0 on 2029-01-01).
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- **`molecule-controlplane`** — SaaS multi-tenant orchestration on top of `molecule-core`. Private; backs [moleculesai.app](https://moleculesai.app).
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### Adapters & integrations
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- **[`molecule-mcp-claude-channel`](https://github.com/Molecule-AI/molecule-mcp-claude-channel)** — Claude Code MCP plugin: bridges Molecule A2A traffic into a local Claude Code session.
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- **[`molecule-ai-workspace-runtime`](https://github.com/Molecule-AI/molecule-ai-workspace-runtime)** — Python adapter runtime, mirrored from `molecule-core/workspace/`. Published as a PyPI wheel.
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- **`molecule-ai-workspace-template-*`** — one repo per supported runtime template (claude-code, hermes, langgraph, …).
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### Marketing & community
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- **[`landingpage`](https://github.com/Molecule-AI/landingpage)** — [moleculesai.app](https://moleculesai.app) source.
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- **[`molecule-ai-status`](https://github.com/Molecule-AI/molecule-ai-status)** — public status page.
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## License & community
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Most user-facing code is open source under the Business Source License 1.1 (converts to Apache 2.0 on 2029-01-01). Personal, internal, and non-commercial use is permitted without restriction; commercial use that competes with the hosted product is what the BSL gates.
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Issues, PRs, and design discussions land on the individual repos above. The platform repo's [Docs Home](https://github.com/Molecule-AI/molecule-core/blob/main/docs/index.md) is the canonical entry point for engineering depth.
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---
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<sub>Org profile last refreshed 2026-05-06.</sub>
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