A forum user spent half a day doing a deep dive into the AgentScope/HiClaw project. Below are the core findings, translated and summarized.
What It Is
HiClaw is an open-source multi-agent collaboration platform built by Alibaba Cloud's Higress team. The concept is straightforward: one Manager Agent oversees a group of Worker Agents, all working inside the same Matrix chat room—fully visible to humans, interruptible at any time.
It does not implement agent logic itself; it only handles orchestration. An analogy: OpenClaw is like Docker—running a single agent. HiClaw is like Kubernetes—orchestrating a team of agents.
The Smartest Architectural Choice: Zero Credential Exposure
Workers never hold real API keys or GitHub PATs—they only get a consumer token. All real credentials are locked inside the Higress gateway. This means:
- Even if a Worker installs a malicious skill from the 80,000+ community skills on skills.sh, it cannot steal any real credentials.
- Permission revocation is fast—remove a Consumer from the
allowedConsumerslist, and the WASM hot update takes effect within seconds. - Alibaba Cloud SRE: the Manager receives alerts and generates tickets; Workers handle fault localization and capacity prediction. MTTR dropped 60%, and major incident rate dropped 85%.
- Financial microservices development: requirement-to-release time shrank from 21 days to 9 days.
- The Matrix protocol adds extra infrastructure dependencies.
- A full deployment consumes 4–5GB of memory.
- Six releases in three months—evidence of strong team investment, but also a sign the project is still changing rapidly. The Q3 v2.0 release is billed as the key step for cross-cloud deployment and security compliance.
According to the author, among the dozens of open-source multi-agent projects currently available, no other has achieved this.
Three Runtimes, One Chat Room
| Runtime | Language | Memory | Best At | |---|---|---|---| | OpenClaw | Node.js | ~500MB | Tool calling, task orchestration | | QwenPaw | Python | ~150MB | Browser automation, lightweight tasks | | Hermes | Python | ~400MB | Autonomous coding, skill self-evolution |
Recommended setup: use OpenClaw/QwenPaw as the Leader to break down tasks, and Hermes as the Coder to write code.
Real-World Cases
Concerns
Who It's For
Suitable if you: need to manage a 3–10 agent team; care about credential security; need auditable agent communication; and can accept Docker/K8s deployment.
Not suitable if you: only want a personal coding assistant like Claude Code; have a machine with only 4GB of RAM; or need out-of-the-box enterprise support.
GitHub: https://github.com/agentscope-ai/HiClaw Official site: https://www.hiclaw.io/