Crawler Summary
自动记忆管理系统。每次响应前检索相关记忆，响应后提取重要信息存储。解决context window爆炸问题。 --- name: memory-engine description: 自动记忆管理系统。每次响应前检索相关记忆，响应后提取重要信息存储。解决context window爆炸问题。 metadata: {"openclaw": {"emoji": "🧠", "requires": {"env": []}, "always": true}} --- 🧠 Memory Engine —— 自动记忆管理 ⚠️ 强制执行规则 **每次收到用户消息时，按以下顺序执行：** 1️⃣ 响应前：检索相关记忆 2️⃣ 正常响应用户 3️⃣ 响应后：提取并存储重要信息 检测以下模式并存储： - 用户说 "记住..." → explicit_memory - 用户表达偏好 → preference - 做出决策 → decision - 解决问题 → error_learned - 任务完成 → task_state --- CLI 命令 读取 Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.
Freshness
Last checked 4/15/2026
Best For
memory-engine is best for general automation workflows where OpenClaw compatibility matters.
Not Ideal For
Contract metadata is missing or unavailable for deterministic execution.
Evidence Sources Checked
editorial-content, GITHUB OPENCLEW, runtime-metrics, public facts pack
自动记忆管理系统。每次响应前检索相关记忆，响应后提取重要信息存储。解决context window爆炸问题。 --- name: memory-engine description: 自动记忆管理系统。每次响应前检索相关记忆，响应后提取重要信息存储。解决context window爆炸问题。 metadata: {"openclaw": {"emoji": "🧠", "requires": {"env": []}, "always": true}} --- 🧠 Memory Engine —— 自动记忆管理 ⚠️ 强制执行规则 **每次收到用户消息时，按以下顺序执行：** 1️⃣ 响应前：检索相关记忆 2️⃣ 正常响应用户 3️⃣ 响应后：提取并存储重要信息 检测以下模式并存储： - 用户说 "记住..." → explicit_memory - 用户表达偏好 → preference - 做出决策 → decision - 解决问题 → error_learned - 任务完成 → task_state --- CLI 命令 读取
Public facts
4
Change events
1
Artifacts
0
Freshness
Apr 15, 2026
Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.
Trust score
Unknown
Compatibility
OpenClaw
Freshness
Apr 15, 2026
Vendor
Bazza1982
Artifacts
0
Benchmarks
0
Last release
Unpublished
Key links, install path, and a quick operational read before the deeper crawl record.
Summary
Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.
Setup snapshot
git clone https://github.com/Bazza1982/memory-engine.gitSetup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.
Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.
Vendor
Bazza1982
Protocol compatibility
OpenClaw
Handshake status
UNKNOWN
Crawlable docs
6 indexed pages on the official domain
Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.
Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.
Extracted files
0
Examples
6
Snippets
0
Languages
typescript
Parameters
bash
node {baseDir}/cli.js read --query "用户消息关键词" --limit 5bash
node {baseDir}/cli.js write --type TYPE --key "KEY" --value "VALUE" --confidence 0.9bash
node {baseDir}/cli.js read --query "关键词" --limit 5bash
node {baseDir}/cli.js write --type preference --key "framework" --value "React" --confidence 0.95 --tags "tech,frontend"bash
node {baseDir}/cli.js statusbash
# 创建任务
node {baseDir}/cli.js task-create --goal "完成数据库设计"
# 查看任务
node {baseDir}/cli.js task-get --id TASK_ID
# 更新任务
node {baseDir}/cli.js task-update --id TASK_ID --status completedFull documentation captured from public sources, including the complete README when available.
Docs source
GITHUB OPENCLEW
Editorial quality
ready
自动记忆管理系统。每次响应前检索相关记忆，响应后提取重要信息存储。解决context window爆炸问题。 --- name: memory-engine description: 自动记忆管理系统。每次响应前检索相关记忆，响应后提取重要信息存储。解决context window爆炸问题。 metadata: {"openclaw": {"emoji": "🧠", "requires": {"env": []}, "always": true}} --- 🧠 Memory Engine —— 自动记忆管理 ⚠️ 强制执行规则 **每次收到用户消息时，按以下顺序执行：** 1️⃣ 响应前：检索相关记忆 2️⃣ 正常响应用户 3️⃣ 响应后：提取并存储重要信息 检测以下模式并存储： - 用户说 "记住..." → explicit_memory - 用户表达偏好 → preference - 做出决策 → decision - 解决问题 → error_learned - 任务完成 → task_state --- CLI 命令 读取
每次收到用户消息时，按以下顺序执行：
node {baseDir}/cli.js read --query "用户消息关键词" --limit 5
检测以下模式并存储：
explicit_memorypreferencedecisionerror_learnedtask_statenode {baseDir}/cli.js write --type TYPE --key "KEY" --value "VALUE" --confidence 0.9
node {baseDir}/cli.js read --query "关键词" --limit 5
node {baseDir}/cli.js write --type preference --key "framework" --value "React" --confidence 0.95 --tags "tech,frontend"
Event Types: preference, fact, decision, task_state, error_learned, explicit_memory
node {baseDir}/cli.js status
# 创建任务
node {baseDir}/cli.js task-create --goal "完成数据库设计"
# 查看任务
node {baseDir}/cli.js task-get --id TASK_ID
# 更新任务
node {baseDir}/cli.js task-update --id TASK_ID --status completed
| 用户说的话 | 类型 | 示例 | |-----------|------|------| | "记住..." | explicit_memory | "记住我的生日是1月28日" | | "我喜欢/偏好..." | preference | "我喜欢用React" | | "决定/选择..." | decision | "我们决定用方案A" | | "问题解决了" | error_learned | 问题+解决方案 | | "任务完成" | task_state | 任务进度 |
记忆存储在 workspace 的 memory/ 目录：
memory/events.jsonl - 事件流memory/tasks/ - 任务状态memory/vector-index.json - 向量索引用户： 记住我喜欢用 TypeScript
执行：
node {baseDir}/cli.js read --query "TypeScript"node {baseDir}/cli.js write --type preference --key "language" --value "TypeScript" --confidence 1.0 --tags "explicit,tech"下次对话：
用户： 帮我写个前端项目
执行：
node {baseDir}/cli.js read --query "前端 项目"Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.
Contract coverage
Status
missing
Auth
None
Streaming
No
Data region
Unspecified
Protocol support
Requires: none
Forbidden: none
Guardrails
Operational confidence: low
curl -s "https://xpersona.co/api/v1/agents/bazza1982-memory-engine/snapshot"
curl -s "https://xpersona.co/api/v1/agents/bazza1982-memory-engine/contract"
curl -s "https://xpersona.co/api/v1/agents/bazza1982-memory-engine/trust"
Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.
Trust signals
Handshake
UNKNOWN
Confidence
unknown
Attempts 30d
unknown
Fallback rate
unknown
Runtime metrics
Observed P50
unknown
Observed P95
unknown
Rate limit
unknown
Estimated cost
unknown
Do not use if
Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.
Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.
Rank
70
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
Traction
No public download signal
Freshness
Updated 2d ago
Rank
70
AI productivity studio with smart chat, autonomous agents, and 300+ assistants. Unified access to frontier LLMs
Traction
No public download signal
Freshness
Updated 5d ago
Rank
70
Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!
Traction
No public download signal
Freshness
Updated 6d ago
Rank
70
The Frontend for Agents & Generative UI. React + Angular
Traction
No public download signal
Freshness
Updated 23d ago
Contract JSON
{
"contractStatus": "missing",
"authModes": [],
"requires": [],
"forbidden": [],
"supportsMcp": false,
"supportsA2a": false,
"supportsStreaming": false,
"inputSchemaRef": null,
"outputSchemaRef": null,
"dataRegion": null,
"contractUpdatedAt": null,
"sourceUpdatedAt": null,
"freshnessSeconds": null
}Invocation Guide
{
"preferredApi": {
"snapshotUrl": "https://xpersona.co/api/v1/agents/bazza1982-memory-engine/snapshot",
"contractUrl": "https://xpersona.co/api/v1/agents/bazza1982-memory-engine/contract",
"trustUrl": "https://xpersona.co/api/v1/agents/bazza1982-memory-engine/trust"
},
"curlExamples": [
"curl -s \"https://xpersona.co/api/v1/agents/bazza1982-memory-engine/snapshot\"",
"curl -s \"https://xpersona.co/api/v1/agents/bazza1982-memory-engine/contract\"",
"curl -s \"https://xpersona.co/api/v1/agents/bazza1982-memory-engine/trust\""
],
"jsonRequestTemplate": {
"query": "summarize this repo",
"constraints": {
"maxLatencyMs": 2000,
"protocolPreference": [
"OPENCLEW"
]
}
},
"jsonResponseTemplate": {
"ok": true,
"result": {
"summary": "...",
"confidence": 0.9
},
"meta": {
"source": "GITHUB_OPENCLEW",
"generatedAt": "2026-04-17T01:42:27.623Z"
}
},
"retryPolicy": {
"maxAttempts": 3,
"backoffMs": [
500,
1500,
3500
],
"retryableConditions": [
"HTTP_429",
"HTTP_503",
"NETWORK_TIMEOUT"
]
}
}Trust JSON
{
"status": "unavailable",
"handshakeStatus": "UNKNOWN",
"verificationFreshnessHours": null,
"reputationScore": null,
"p95LatencyMs": null,
"successRate30d": null,
"fallbackRate": null,
"attempts30d": null,
"trustUpdatedAt": null,
"trustConfidence": "unknown",
"sourceUpdatedAt": null,
"freshnessSeconds": null
}Capability Matrix
{
"rows": [
{
"key": "OPENCLEW",
"type": "protocol",
"support": "unknown",
"confidenceSource": "profile",
"notes": "Listed on profile"
}
],
"flattenedTokens": "protocol:OPENCLEW|unknown|profile"
}Facts JSON
[
{
"factKey": "docs_crawl",
"category": "integration",
"label": "Crawlable docs",
"value": "6 indexed pages on the official domain",
"href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceType": "search_document",
"confidence": "medium",
"observedAt": "2026-04-15T05:03:46.393Z",
"isPublic": true
},
{
"factKey": "vendor",
"category": "vendor",
"label": "Vendor",
"value": "Bazza1982",
"href": "https://github.com/Bazza1982/memory-engine",
"sourceUrl": "https://github.com/Bazza1982/memory-engine",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-04-15T01:14:52.927Z",
"isPublic": true
},
{
"factKey": "protocols",
"category": "compatibility",
"label": "Protocol compatibility",
"value": "OpenClaw",
"href": "https://xpersona.co/api/v1/agents/bazza1982-memory-engine/contract",
"sourceUrl": "https://xpersona.co/api/v1/agents/bazza1982-memory-engine/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-04-15T01:14:52.927Z",
"isPublic": true
},
{
"factKey": "handshake_status",
"category": "security",
"label": "Handshake status",
"value": "UNKNOWN",
"href": "https://xpersona.co/api/v1/agents/bazza1982-memory-engine/trust",
"sourceUrl": "https://xpersona.co/api/v1/agents/bazza1982-memory-engine/trust",
"sourceType": "trust",
"confidence": "medium",
"observedAt": null,
"isPublic": true
}
]Change Events JSON
[
{
"eventType": "docs_update",
"title": "Docs refreshed: Sign in to GitHub · GitHub",
"description": "Fresh crawlable documentation was indexed for the official domain.",
"href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceType": "search_document",
"confidence": "medium",
"observedAt": "2026-04-15T05:03:46.393Z",
"isPublic": true
}
]Sponsored
Ads related to memory-engine and adjacent AI workflows.