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AionUi
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MCPOPENCLAW
Crawler Summary
logicmem-examples answer-first brief
Example integrations for LogicMem — LangChain, AutoGPT, CrewAI, n8n, and more. 🧠 LogicMem — AI Agents That Actually Remember **"Every AI forgets. LogicMem remembers."** $1 $1 $1 **The memory layer your AI agents have been missing.** Store decisions, track outcomes, and retrieve what matters — with none of the "where did we leave off?" moments. --- ⚡ Quick Start **That's it.** 3 lines to add memory to any AI agent. --- ✨ Why LogicMem? 🎯 Outcome-Weighted Retrieval Not all memories are equal. Wh Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.
Freshness
Last checked 10/9/2026
Best For
logicmem-examples is best for crewai, multi-agent 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
Agent DossierGITHUB REPOSSafety: 66/100
logicmem-examples
Example integrations for LogicMem — LangChain, AutoGPT, CrewAI, n8n, and more. 🧠 LogicMem — AI Agents That Actually Remember **"Every AI forgets. LogicMem remembers."** $1 $1 $1 **The memory layer your AI agents have been missing.** Store decisions, track outcomes, and retrieve what matters — with none of the "where did we leave off?" moments. --- ⚡ Quick Start **That's it.** 3 lines to add memory to any AI agent. --- ✨ Why LogicMem? 🎯 Outcome-Weighted Retrieval Not all memories are equal. Wh
OpenClawself-declared
Public facts
4
Change events
1
Artifacts
0
Freshness
Oct 9, 2026
Verifiededitorial-contentNo verified compatibility signals
Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.
Trust evidence available
Trust score
Unknown
Compatibility
OpenClaw
Freshness
Oct 9, 2026
Vendor
Creedlab
Artifacts
0
Benchmarks
0
Last release
Unpublished
Executive Summary
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 10/9/2026.
Setup snapshot
- 1
Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
- 2
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.
Evidence Ledger
Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.
Vendor (1)
Vendor
Creedlab
profilemedium
Compatibility (1)
Protocol compatibility
OpenClaw
contractmedium
Security (1)
Handshake status
UNKNOWN
trustmedium
Integration (1)
Crawlable docs
6 indexed pages on the official domain
search_documentmedium
Release & Crawl Timeline
Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.
Artifacts Archive
Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.
Extracted files
0
Examples
6
Snippets
0
Languages
python
Executable Examples
bash
pip install logicmem # Set your API key (free at https://logicmem.io) export LOGICMEM_API_KEY=lm_your_key_here
python
from logicmem import MemoryClient
client = MemoryClient()
# Store something important
client.store("Customer wants annual billing", outcome_score=0.9)
# Retrieve it later — weighted by outcome
results = client.retrieve("what does this customer want?")python
# First attempt
client.store("Suggested monthly plan", outcome_score=0.0)
# What worked
client.store("Suggested annual plan → customer bought", outcome_score=1.0)
# Retrieval knows which to surface
results = client.retrieve("what should we suggest?")
# → "Suggested annual plan → customer bought" (weighted higher)python
usage = client.usage()
print(f"{usage['used']}/{usage['limit']} ops used")
# → "847/1000 ops used"python
client.store("Decided to use Stripe for payments")
# Retrieval understands context
results = client.retrieve("what payment processor did we pick?")
# → "Decided to use Stripe for payments" ✓text
┌─────────────────────────────────────────────────────────────────┐
│ Your AI Agent │
└─────────────────────────┬───────────────────────────────────────┘
│ 1. client.store(text, outcome_score?)
│ 2. client.retrieve(query)
▼
┌─────────────────────────────────────────────────────────────────┐
│ LogicMem API │
│ │
│ ┌──────────────┐ ┌──────────────┐ ┌──────────────┐ │
│ │ Vector DB │◄──►│ Outcome │◄──►│ Semantic │ │
│ │ (storage) │ │ Weights │ │ Retrieval │ │
│ └──────────────┘ └──────────────┘ └──────────────┘ │
│ │
│ Your data → encrypted at rest → delivered in milliseconds │
└─────────────────────────────────────────────────────────────────┘Docs & README
Full documentation captured from public sources, including the complete README when available.
Docs source
GITHUB REPOS
Editorial quality
ready
Example integrations for LogicMem — LangChain, AutoGPT, CrewAI, n8n, and more. 🧠 LogicMem — AI Agents That Actually Remember **"Every AI forgets. LogicMem remembers."** $1 $1 $1 **The memory layer your AI agents have been missing.** Store decisions, track outcomes, and retrieve what matters — with none of the "where did we leave off?" moments. --- ⚡ Quick Start **That's it.** 3 lines to add memory to any AI agent. --- ✨ Why LogicMem? 🎯 Outcome-Weighted Retrieval Not all memories are equal. Wh
Full README
🧠 LogicMem — AI Agents That Actually Remember
"Every AI forgets. LogicMem remembers."
The memory layer your AI agents have been missing. Store decisions, track outcomes, and retrieve what matters — with none of the "where did we leave off?" moments.
⚡ Quick Start
pip install logicmem
# Set your API key (free at https://logicmem.io)
export LOGICMEM_API_KEY=lm_your_key_here
from logicmem import MemoryClient
client = MemoryClient()
# Store something important
client.store("Customer wants annual billing", outcome_score=0.9)
# Retrieve it later — weighted by outcome
results = client.retrieve("what does this customer want?")
That's it. 3 lines to add memory to any AI agent.
✨ Why LogicMem?
🎯 Outcome-Weighted Retrieval
Not all memories are equal. When you store an outcome score (0.0 = failed, 1.0 = succeeded), retrieval automatically boosts what actually worked.
# First attempt
client.store("Suggested monthly plan", outcome_score=0.0)
# What worked
client.store("Suggested annual plan → customer bought", outcome_score=1.0)
# Retrieval knows which to surface
results = client.retrieve("what should we suggest?")
# → "Suggested annual plan → customer bought" (weighted higher)
📊 Usage Monitoring Built-In
Know exactly where you stand with client.usage().
usage = client.usage()
print(f"{usage['used']}/{usage['limit']} ops used")
# → "847/1000 ops used"
🔍 Semantic Search
Store anything. Retrieve by meaning — no exact matches required.
client.store("Decided to use Stripe for payments")
# Retrieval understands context
results = client.retrieve("what payment processor did we pick?")
# → "Decided to use Stripe for payments" ✓
🔧 How It Works
┌─────────────────────────────────────────────────────────────────┐
│ Your AI Agent │
└─────────────────────────┬───────────────────────────────────────┘
│ 1. client.store(text, outcome_score?)
│ 2. client.retrieve(query)
▼
┌─────────────────────────────────────────────────────────────────┐
│ LogicMem API │
│ │
│ ┌──────────────┐ ┌──────────────┐ ┌──────────────┐ │
│ │ Vector DB │◄──►│ Outcome │◄──►│ Semantic │ │
│ │ (storage) │ │ Weights │ │ Retrieval │ │
│ └──────────────┘ └──────────────┘ └──────────────┘ │
│ │
│ Your data → encrypted at rest → delivered in milliseconds │
└─────────────────────────────────────────────────────────────────┘
1. Store — Send text + optional outcome score (0.0–1.0) and importance (1–10)
2. Weights — Outcome scores train retrieval to favor successful patterns
3. Retrieve — Query in natural language, get back relevant memories ranked by score
🎁 Free Tier — No Credit Card Required
| | Free | Pro | Business | |---|---|---|---| | Operations/month | 1,000 | 50,000 | 500,000 | | Price | $0 | $29/mo | $99/mo | | Credit card? | ❌ No | $29 | $99 | | Outcome tracking | ✅ | ✅ | ✅ | | Semantic search | ✅ | ✅ | ✅ | | API access | ✅ | ✅ | ✅ |
👉 Get your free API key at logicmem.io (1,000 ops/month, forever)
📦 Installation
pip install logicmem
Requires Python 3.9+. No external dependencies — just the logicmem package.
🔑 Setup
- Get an API key at logicmem.io (free tier: 1,000 ops/month)
- Set the environment variable:
export LOGICMEM_API_KEY=lm_live_your_key_here - Start building:
from logicmem import MemoryClient client = MemoryClient()
📂 Examples
| Example | Description |
|---|---|
| 01_quickstart.py | The 5-line memory agent |
| 02_chatbot.py | Add memory to any chatbot |
| 03_research_agent.py | Research agent that remembers |
| 04_outcome_tracking.py | The DPO pattern (outcome-weighted retrieval) |
| 05_usage_monitoring.py | Monitor your usage + upgrade prompt |
🚀 Use Cases
- Customer Support Agents — Remember preferences, past issues, what worked
- Research Agents — Don't re-search what you already found
- Sales Agents — Track pitch outcomes, learn from wins
- Coding Assistants — Remember architectural decisions, why you chose X
- Autonomous Agents — Build institutional memory that persists across sessions
📚 Full Documentation
- API Reference — All endpoints, parameters, responses
- Quick Start Guide — Step-by-step integration
- Outcome Tracking Guide — The DPO pattern explained
- Pricing — Free forever tier + upgrades
💬 Community
Questions? Ideas? Want to contribute examples?
📄 License
MIT License — use it in personal projects, commercial products, whatever you want.
Built with persistence — because your AI should remember.
Contract & API
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
OpenClaw: self-declared
Requires: none
Forbidden: none
Guardrails
Operational confidence: low
No positive guardrails captured.
Invocation examples
curl -s "https://www.xpersona.co/api/v1/agents/crewai-creedlab-logicmem-examples/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-creedlab-logicmem-examples/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-creedlab-logicmem-examples/trust"
Reliability & Benchmarks
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
Contract metadata is missing or unavailable for deterministic execution.
No benchmark suites or observed failure patterns are available.
Media & Demo
Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.
No screenshots, media assets, or demo links are available.
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Machine Appendix
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://www.xpersona.co/api/v1/agents/crewai-creedlab-logicmem-examples/snapshot",
"contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-creedlab-logicmem-examples/contract",
"trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-creedlab-logicmem-examples/trust"
},
"curlExamples": [
"curl -s \"https://www.xpersona.co/api/v1/agents/crewai-creedlab-logicmem-examples/snapshot\"",
"curl -s \"https://www.xpersona.co/api/v1/agents/crewai-creedlab-logicmem-examples/contract\"",
"curl -s \"https://www.xpersona.co/api/v1/agents/crewai-creedlab-logicmem-examples/trust\""
],
"jsonRequestTemplate": {
"query": "summarize this repo",
"constraints": {
"maxLatencyMs": 2000,
"protocolPreference": [
"OPENCLEW"
]
}
},
"jsonResponseTemplate": {
"ok": true,
"result": {
"summary": "...",
"confidence": 0.9
},
"meta": {
"source": "GITHUB_REPOS",
"generatedAt": "2026-10-10T03:51:34.886Z"
}
},
"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": "crewai",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
},
{
"key": "multi-agent",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
}
],
"flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:crewai|supported|profile capability:multi-agent|supported|profile"
}Facts JSON
[
{
"factKey": "vendor",
"category": "vendor",
"label": "Vendor",
"value": "Creedlab",
"href": "https://github.com/CreedLab/logicmem-examples",
"sourceUrl": "https://github.com/CreedLab/logicmem-examples",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-10-09T19:19:40.876Z",
"isPublic": true
},
{
"factKey": "protocols",
"category": "compatibility",
"label": "Protocol compatibility",
"value": "OpenClaw",
"href": "https://www.xpersona.co/api/v1/agents/crewai-creedlab-logicmem-examples/contract",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-creedlab-logicmem-examples/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-10-09T19:19:40.876Z",
"isPublic": true
},
{
"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": "handshake_status",
"category": "security",
"label": "Handshake status",
"value": "UNKNOWN",
"href": "https://www.xpersona.co/api/v1/agents/crewai-creedlab-logicmem-examples/trust",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-creedlab-logicmem-examples/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
}
]