MemCore 记忆核心
/install memcore-memory
MemCore 记忆核心
为 OpenClaw 打造的五层自适应记忆系统，自进化。替代全量 MEMORY.md 注入 — 节省 92% token。
Five-tier adaptive memory system with self-evolution for OpenClaw. Drop-in replacement for full MEMORY.md injection — 92% token savings.
Quick Commands
# Startup: generate brief (≤500 tokens, replaces full MEMORY.md)
python3 scripts/memcore/cli.py brief
# Search: 5-tier adaptive fallback
python3 scripts/memcore/cli.py search "\x3Cquery>" -n 5
# Daily maintenance (index new logs → induce patterns → decay → refresh brief)
python3 scripts/memcore/cli.py run-all
# Stats overview
python3 scripts/memcore/cli.py stats
# Feedback: log whether retrieved memory was useful
python3 scripts/memcore/cli.py feedback-log \x3Ctrace_id> used|skipped|good|bad
Startup Integration
On each session start, replace full MEMORY.md loading with:
1. Read SOUL.md → USER.md → MEMORY_BRIEF.md (auto-generated) → .anatomy.md → yesterday+today memory
2. MEMORY.md loaded on-demand only via: python3 scripts/memcore/cli.py search "\x3Ckeywords>"
The brief generator picks top 5 active patterns, top 3 recent lessons, and current taskboard items — all under 500 tokens.
散会 Integration
Add step 3 to 散会 flow:
python3 scripts/memcore/cli.py index && \
python3 scripts/memcore/cli.py induce && \
python3 scripts/memcore/cli.py feedback
This auto-indexes today's log, induces new patterns, and decays stale traces.
Health Check Integration
When running daily health checks (09:00), append MemCore diagnostic:
# Get system stats
python3 scripts/memcore/cli.py stats
# If anomalies found, search historical similar faults
python3 scripts/memcore/cli.py search "\x3Canomaly keywords>" -n 3
Safety rule: Report only. Never auto-fix. Let human decide.
Search & Feedback Flow
After every memory_search call, log feedback:
# If the retrieved memory was helpful:
python3 scripts/memcore/cli.py feedback-log \x3Ctrace_id> used
# If irrelevant:
python3 scripts/memcore/cli.py feedback-log \x3Ctrace_id> skipped
This trains the retrieval system — high-value traces rise, stale ones decay.
Cron Setup
Two 12-hour maintenance jobs (systemEvent, main session, wakeMode: next-heartbeat):
| Time (CST) | Cron expression | Action |
|---|---|---|
| 04:00 | 0 4 * * * |
index + induce + feedback + brief |
| 16:00 | 0 16 * * * |
same |
These are SQLite-only, no model calls, near-zero resource cost.
Rollback
cp memcore_backup_\x3Cdate>/AGENTS.md ~/.openclaw/workspace/
cp memcore_backup_\x3Cdate>/MEMORY.md ~/.openclaw/workspace/
Original MEMORY.md is never modified. All MemCore data lives in separate SQLite files under ~/.openclaw/.
Detailed Reference
- Architecture: See references/architecture.md for L1-L4 model, 5-tier retrieval details, file structure, and CLI reference.
- EXO1 Upgrade: See references/upgrade-guide.md for Syncthing-based deployment to EXO1.
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install memcore-memory - After installation, invoke the skill by name or use
/memcore-memory - Provide required inputs per the skill's parameter spec and get structured output
What is MemCore 记忆核心?
为 OpenClaw 打造的五层自适应记忆检索系统，四层自进化记忆模型（L1轨迹→L2模式→L3世界模型→技能结晶），反馈驱动的价值评分，自动维护与健康诊断。适用场景：(1) 带降级保障的记忆搜索，(2) 带历史故障诊断的健康检查，(3) 每日散会流程自动模式归纳，(4) 生成启动简报替代全量MEMORY.md注... It is an AI Agent Skill for Claude Code / OpenClaw, with 73 downloads so far.
How do I install MemCore 记忆核心?
Run "/install memcore-memory" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is MemCore 记忆核心 free?
Yes, MemCore 记忆核心 is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does MemCore 记忆核心 support?
MemCore 记忆核心 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created MemCore 记忆核心?
It is built and maintained by adchina2025 (@adchina2025); the current version is v1.0.3.