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
Crawler Summary
Audit, clean, and optimize OpenClaw's vector memory (LanceDB). Use when memory is bloated with junk, token usage is high from irrelevant auto-recalls, or setting up memory maintenance automation. --- name: memory-hygiene description: Audit, clean, and optimize OpenClaw's vector memory (LanceDB). Use when memory is bloated with junk, token usage is high from irrelevant auto-recalls, or setting up memory maintenance automation. homepage: https://github.com/xdylanbaker/memory-hygiene metadata: {"openclaw":{"emoji":"🧹","requires":{"bins":[]}}} --- Memory Hygiene Keep vector memory lean. Prevent token waste from Capability contract not published. No trust telemetry is available yet. 6 GitHub stars reported by the source. Last updated 2/25/2026.
Freshness
Last checked 2/25/2026
Best For
memory-hygiene is best for for workflows where OpenClaw compatibility matters.
Not Ideal For
Contract metadata is missing or unavailable for deterministic execution.
Evidence Sources Checked
editorial-content, GITHUB REPOS, runtime-metrics, public facts pack
Audit, clean, and optimize OpenClaw's vector memory (LanceDB). Use when memory is bloated with junk, token usage is high from irrelevant auto-recalls, or setting up memory maintenance automation. --- name: memory-hygiene description: Audit, clean, and optimize OpenClaw's vector memory (LanceDB). Use when memory is bloated with junk, token usage is high from irrelevant auto-recalls, or setting up memory maintenance automation. homepage: https://github.com/xdylanbaker/memory-hygiene metadata: {"openclaw":{"emoji":"🧹","requires":{"bins":[]}}} --- Memory Hygiene Keep vector memory lean. Prevent token waste from
Public facts
5
Change events
1
Artifacts
0
Freshness
Feb 25, 2026
Capability contract not published. No trust telemetry is available yet. 6 GitHub stars reported by the source. Last updated 2/25/2026.
Trust score
Unknown
Compatibility
OpenClaw
Freshness
Feb 25, 2026
Vendor
Xdylanbaker
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Unpublished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. 6 GitHub stars reported by the source. Last updated 2/25/2026.
Setup snapshot
Setup complexity is MEDIUM. Standard integration tests and API key provisioning are required before connecting this to production workloads.
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
Xdylanbaker
Protocol compatibility
OpenClaw
Adoption signal
6 GitHub stars
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
text
memory_recall query="*" limit=50
text
memory_recall query="HEARTBEAT_OK" limit=20 memory_recall query="no new messages" limit=20 memory_recall query="checked email" limit=20
text
memory_forget memoryId="<id>"
bash
rm -rf ~/.openclaw/memory/lancedb/
text
memory_store text="<fact>" category="preference|fact|decision" importance=0.9
json
{
"plugins": {
"entries": {
"memory-lancedb": {
"config": {
"autoCapture": false,
"autoRecall": true
}
}
}
}
}Full documentation captured from public sources, including the complete README when available.
Docs source
GITHUB REPOS
Editorial quality
ready
Audit, clean, and optimize OpenClaw's vector memory (LanceDB). Use when memory is bloated with junk, token usage is high from irrelevant auto-recalls, or setting up memory maintenance automation. --- name: memory-hygiene description: Audit, clean, and optimize OpenClaw's vector memory (LanceDB). Use when memory is bloated with junk, token usage is high from irrelevant auto-recalls, or setting up memory maintenance automation. homepage: https://github.com/xdylanbaker/memory-hygiene metadata: {"openclaw":{"emoji":"🧹","requires":{"bins":[]}}} --- Memory Hygiene Keep vector memory lean. Prevent token waste from
Keep vector memory lean. Prevent token waste from junk memories.
Audit: Check what's in memory
memory_recall query="*" limit=50
Search for junk: Find low-value entries
memory_recall query="HEARTBEAT_OK" limit=20
memory_recall query="no new messages" limit=20
memory_recall query="checked email" limit=20
Delete specific memory: Remove by ID
memory_forget memoryId="<id>"
Wipe all: Nuclear option, clear all vector memory
rm -rf ~/.openclaw/memory/lancedb/
Then restart gateway: openclaw gateway restart
Reseed: After wipe, store key facts from MEMORY.md
memory_store text="<fact>" category="preference|fact|decision" importance=0.9
The main source of junk is autoCapture: true. Disable it:
{
"plugins": {
"entries": {
"memory-lancedb": {
"config": {
"autoCapture": false,
"autoRecall": true
}
}
}
}
}
Use gateway action=config.patch to apply.
Every memory gets a confidence score (0.0-1.0). This prevents false assumptions and helps resolve conflicts.
| Score | Meaning | Example | |-------|---------|---------| | 0.9-1.0 | User stated directly | "Remember: always use Bitwarden for logins" | | 0.7-0.9 | Strong inference, confirmed by behavior | User consistently prefers Sonnet for coding | | 0.5-0.7 | Reasonable inference, unconfirmed | User might prefer dark themes based on one comment | | 0.3-0.5 | Weak inference, could be wrong | Assumed preference from indirect context | | Below 0.3 | Speculation, needs verification | Guessed from tangential information |
How to apply:
memory_store: set importance to match confidence score[c:0.9] or [c:0.6]✅ Store (high confidence):
⚠️ Store with caution (medium confidence):
❌ Never store:
Set up a monthly wipe + reseed:
cron action=add job={
"name": "memory-maintenance",
"schedule": { "kind": "cron", "expr": "0 4 1 * *" },
"payload": {
"kind": "agentTurn",
"message": "Monthly memory maintenance: 1) Audit current memories with memory_recall 2) Delete junk entries 3) Wipe ~/.openclaw/memory/lancedb/ if needed 4) Parse MEMORY.md 5) Store key facts to fresh LanceDB with confidence scores 6) Report completion"
},
"sessionTarget": "isolated",
"enabled": true
}
When using memory_store:
preference, fact, decision, entity, other[c:0.9]Run periodically (weekly or monthly):
memory_recall query="*" limit=50 and scan for junkMachine 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/xdylanbaker-memory-hygiene/snapshot"
curl -s "https://xpersona.co/api/v1/agents/xdylanbaker-memory-hygiene/contract"
curl -s "https://xpersona.co/api/v1/agents/xdylanbaker-memory-hygiene/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 6d 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/xdylanbaker-memory-hygiene/snapshot",
"contractUrl": "https://xpersona.co/api/v1/agents/xdylanbaker-memory-hygiene/contract",
"trustUrl": "https://xpersona.co/api/v1/agents/xdylanbaker-memory-hygiene/trust"
},
"curlExamples": [
"curl -s \"https://xpersona.co/api/v1/agents/xdylanbaker-memory-hygiene/snapshot\"",
"curl -s \"https://xpersona.co/api/v1/agents/xdylanbaker-memory-hygiene/contract\"",
"curl -s \"https://xpersona.co/api/v1/agents/xdylanbaker-memory-hygiene/trust\""
],
"jsonRequestTemplate": {
"query": "summarize this repo",
"constraints": {
"maxLatencyMs": 2000,
"protocolPreference": [
"OPENCLEW"
]
}
},
"jsonResponseTemplate": {
"ok": true,
"result": {
"summary": "...",
"confidence": 0.9
},
"meta": {
"source": "GITHUB_REPOS",
"generatedAt": "2026-04-17T04:15:30.723Z"
}
},
"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"
},
{
"key": "for",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
}
],
"flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:for|supported|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": "Xdylanbaker",
"href": "https://github.com/xdylanbaker/memory-hygiene",
"sourceUrl": "https://github.com/xdylanbaker/memory-hygiene",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-02-25T04:19:34.437Z",
"isPublic": true
},
{
"factKey": "protocols",
"category": "compatibility",
"label": "Protocol compatibility",
"value": "OpenClaw",
"href": "https://xpersona.co/api/v1/agents/xdylanbaker-memory-hygiene/contract",
"sourceUrl": "https://xpersona.co/api/v1/agents/xdylanbaker-memory-hygiene/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-02-25T04:19:34.437Z",
"isPublic": true
},
{
"factKey": "traction",
"category": "adoption",
"label": "Adoption signal",
"value": "6 GitHub stars",
"href": "https://github.com/xdylanbaker/memory-hygiene",
"sourceUrl": "https://github.com/xdylanbaker/memory-hygiene",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-02-25T04:19:34.437Z",
"isPublic": true
},
{
"factKey": "handshake_status",
"category": "security",
"label": "Handshake status",
"value": "UNKNOWN",
"href": "https://xpersona.co/api/v1/agents/xdylanbaker-memory-hygiene/trust",
"sourceUrl": "https://xpersona.co/api/v1/agents/xdylanbaker-memory-hygiene/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-hygiene and adjacent AI workflows.