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Fix Android-Labs links: mark as private, remove dead URLs
Android-Labs and OpenClaw Collective repos are private. Converted clickable GitHub links to plain-text references with (private) markers so readers understand the context without hitting 404s. Co-Authored-By: Claude Opus 4.6 <[email protected]>
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COLLECTIVE.md

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@@ -8,7 +8,7 @@ The OpenClaw Collective is a self-regulating cluster of AI agents running autono
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This document describes the architecture that makes this work: the supervision hierarchy, the workspace-as-brain pattern for persistent identity, mission-based governance for strategic alignment, session lifecycle management, and a five-layer safety stack that keeps the system running when agents inevitably break things.
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The companion repository [Android-Labs](https://github.com/Light-Heart-Labs/Android-Labs) is the proof of work — 3,464 commits from 3 AI agents over 8 days, producing three shipping products, 50+ technical research documents, and a production infrastructure that runs itself.
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The companion repository **Android-Labs** (private) is the proof of work — 3,464 commits from 3 AI agents over 8 days, producing three shipping products, 50+ technical research documents, and a production infrastructure that runs itself.
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This toolkit provides the infrastructure components. This document explains how they fit together.
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80% of effort goes to product missions (M1-M5, M12). 20% supports the rest. When a mission hits its "done when," effort shifts to the next highest priority.
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See [Android-Labs/MISSIONS.md](https://github.com/Light-Heart-Labs/Android-Labs/blob/main/MISSIONS.md) for the live example.
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The live example is in the Android-Labs repository (`MISSIONS.md`), where the Collective's 12 missions are defined with full problem statements, completion criteria, and priority guidance.
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### Session Lifecycle Management
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### Git as Shared Memory Bus
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The workspace lives in a Git repository ([Android-Labs](https://github.com/Light-Heart-Labs/Android-Labs)) synced across both servers. Every heartbeat cycle, agents pull the latest state. This creates natural sync points without custom infrastructure.
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The workspace lives in a shared Git repository (Android-Labs) synced across both servers. Every heartbeat cycle, agents pull the latest state. This creates natural sync points without custom infrastructure.
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Merge conflicts are a feature, not a bug — they signal coordination problems that need resolution.
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## Proof of Work: Android-Labs
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The architecture described above isn't theoretical. [Android-Labs](https://github.com/Light-Heart-Labs/Android-Labs) is the working repository where the Collective operates.
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The architecture described above isn't theoretical. **Android-Labs** is the working repository where the Collective operates.
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### By the Numbers
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| [Golden Configs](configs/) | Correct OpenClaw + vLLM configuration | Infrastructure |
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| [Workspace Templates](workspace/) | Workspace-as-brain pattern | Identity |
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The toolkit is the infrastructure layer. The [architecture principles](#architecture-principles) are the design layer. [Android-Labs](https://github.com/Light-Heart-Labs/Android-Labs) is the application layer.
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The toolkit is the infrastructure layer. The [architecture principles](#architecture-principles) are the design layer. Android-Labs is the application layer.
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You can use the tools without the architecture. But together, they enable something more than the sum of their parts: a system that runs itself.
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- **[docs/DESIGN-DECISIONS.md](docs/DESIGN-DECISIONS.md)** — Why we made the choices we did (session limits, ping cycles, deterministic supervision, and more)
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- **[docs/PATTERNS.md](docs/PATTERNS.md)** — Six transferable patterns for autonomous agent systems, applicable to any framework
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- **[docs/ARCHITECTURE.md](docs/ARCHITECTURE.md)** — Deep dive on the vLLM Tool Call Proxy internals
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- **[Android-Labs](https://github.com/Light-Heart-Labs/Android-Labs)** — The proof of work
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- **Android-Labs** (private) — The proof of work repository where the Collective operates
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README.md

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An open source operations toolkit for persistent LLM agents. Built for [OpenClaw](https://openclaw.io) but many components work with any agent framework or service stack.
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This toolkit is the infrastructure layer of a proven multi-agent architecture — the [OpenClaw Collective](COLLECTIVE.md) — where 3 AI agents coordinate autonomously on shared projects using local GPU hardware. The companion repository [Android-Labs](https://github.com/Light-Heart-Labs/Android-Labs) is the proof of work: 3,464 commits from 3 agents over 8 days, producing three shipping products and 50+ technical research documents. These tools kept them running.
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This toolkit is the infrastructure layer of a proven multi-agent architecture — the [OpenClaw Collective](COLLECTIVE.md) — where 3 AI agents coordinate autonomously on shared projects using local GPU hardware. The companion repository **Android-Labs** (private) is the proof of work: 3,464 commits from 3 agents over 8 days, producing three shipping products and 50+ technical research documents. These tools kept them running.
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| Component | What it does | Requires OpenClaw? | Platform |
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- **[docs/DESIGN-DECISIONS.md](docs/DESIGN-DECISIONS.md)** — Why we made the choices we did: session limits, ping cycles, deterministic supervision, and more
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- **[docs/PATTERNS.md](docs/PATTERNS.md)** — Six transferable patterns for autonomous agent systems, applicable to any framework
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- **[docs/ARCHITECTURE.md](docs/ARCHITECTURE.md)** — Deep dive on the vLLM Tool Call Proxy internals
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- **[Android-Labs](https://github.com/Light-Heart-Labs/Android-Labs)** — Proof of work: 3,464 commits from 3 AI agents in 8 days
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- **Android-Labs** (private) — Proof of work: 3,464 commits from 3 AI agents in 8 days
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docs/PATTERNS.md

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# Patterns for Autonomous Agent Systems
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These patterns were extracted from operating a multi-agent system in production. They are not theoretical. Each was learned through failure, tuned through iteration, and validated with [real output](https://github.com/Light-Heart-Labs/Android-Labs).
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These patterns were extracted from operating a multi-agent system in production. They are not theoretical. Each was learned through failure, tuned through iteration, and validated with real output (3,464 commits from 3 AI agents over 8 days).
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**The patterns are framework-agnostic.** You do not need OpenClaw, vLLM, or any specific tool to apply them. The implementations in this repo are one way to do it. The principles apply to LangChain, AutoGen, CrewAI, custom agent loops, or anything else.
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### This Toolkit's Implementation
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- [Android-Labs/MISSIONS.md](https://github.com/Light-Heart-Labs/Android-Labs/blob/main/MISSIONS.md) — the live reference example with 12 missions
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- [Android-Labs/PROJECTS.md](https://github.com/Light-Heart-Labs/Android-Labs/blob/main/PROJECTS.md) — the live work board
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- Android-Labs `MISSIONS.md` (private) — the live reference example with 12 missions
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- Android-Labs `PROJECTS.md` (private) — the live work board
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