ClawXMemory Model Card
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ClawXMemory Model Card
| Field | Value |
|---|---|
| Repository | OpenBMB/ClawXMemory |
| Category | OpenClaw Long-Term Memory Module |
| Stars / forks snapshot | 33 / 8 |
| Language | TypeScript |
| License | MIT |
| Raw capture | raw-github/openbmb_clawxmemory.md |
| Updated by | hourly public metadata update, 2026-05-27 16:00 +0800 |
1. Role in Self Evolve
ClawXMemory is a multi-level OpenClaw memory plugin that writes durable file-based long-term memory and performs model-guided recall for project/user context. It matters because self-evolving agents need repeatable harness control, measurable feedback loops, and reusable skill procedures before claiming stable improvement.
2. Working Principle
background indexing of chat sessions -> markdown file memories + sqlite control-plane -> model-guided recall selection -> dashboard traces for recall/index/dream lifecycle
3. Evidence Path
web-observed GitHub page showed 33 stars, 8 forks, 50 commits, MIT license, and README architecture notes for markdown memory files, background indexing, Dream reorganization, and selective retrieval. 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 Long-Term Memory Module: 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.