HyperSpell OpenClaw Memory Engine Model Card
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HyperSpell OpenClaw Memory Engine Model Card
| Field | Value |
|---|---|
| Repository | hyperspell/hyperspell-openclaw |
| Category | OpenClaw Memory and Context Enhancement Runtime |
| Stars / forks snapshot | 181 / 35 |
| Language | TypeScript |
| License | MIT |
| Raw capture | raw-github/hyperspell_hyperspell-openclaw.md |
| Updated by | hourly public metadata update, 2026-06-01 01:50 +0800 |
1. Role in Self Evolve
hyperspell/hyperspell-openclaw extends OpenClaw with memory/context synchronization and retrieval enhancements. It matters because self-evolving agents need repeatable harness control, measurable feedback loops, and reusable skill procedures before claiming stable improvement.
2. Working Principle
capture workspace memory artifacts from OpenClaw sessions -> sync and normalize context into an external memory substrate -> retrieve high-signal notes into follow-up prompts and tool calls -> reinforce long-horizon consistency across evolving agent tasks
3. Evidence Path
web-observed GitHub page showed 181 stars, 35 forks, 60 commits, MIT license, and TypeScript-only implementation. Shell GitHub API access remained blocked by DNS and local gh auth was invalid, so this card treats the snapshot as web-observed rather than API-verified.
4. Teaching Use
Use this card to explain OpenClaw Memory and Context Enhancement Runtime: it shows how harness/runtime/benchmark layers convert agent behavior into reproducible and auditable engineering workflows.
5. Limits
The repository was not cloned in this iteration; no benchmark run, plugin install, workflow execution, or agent loop experiment was executed. Counts and claims are visible public-page/search signals unless independently revalidated later.