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
Semantic memory for AI agents. 95% token savings with vector search. --- name: memorylayer description: Semantic memory for AI agents. 95% token savings with vector search. homepage: https://memorylayer.clawbot.hk metadata: clawdbot: emoji: "🧠" --- MemoryLayer Semantic memory infrastructure for AI agents that actually scales. Features - **95% Token Savings** - Retrieve only relevant memories - **Semantic Search** - Find memories by meaning, not keywords - **Sub-200ms** - Lightning-fa Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.
Freshness
Last checked 4/15/2026
Best For
memorylayer 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
Semantic memory for AI agents. 95% token savings with vector search. --- name: memorylayer description: Semantic memory for AI agents. 95% token savings with vector search. homepage: https://memorylayer.clawbot.hk metadata: clawdbot: emoji: "🧠" --- MemoryLayer Semantic memory infrastructure for AI agents that actually scales. Features - **95% Token Savings** - Retrieve only relevant memories - **Semantic Search** - Find memories by meaning, not keywords - **Sub-200ms** - Lightning-fa
Public facts
3
Change events
0
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
Clawbot
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Unpublished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/davidhx1000-cloud/memorylayer-skill.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
Clawbot
Protocol compatibility
OpenClaw
Handshake status
UNKNOWN
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
# Option 1: Email/Password export MEMORYLAYER_EMAIL=your@email.com export MEMORYLAYER_PASSWORD=your_password # Option 2: API Key (recommended for production) export MEMORYLAYER_API_KEY=ml_your_api_key_here
bash
pip install memorylayer
javascript
// In your Clawdbot agent
const memory = require('memorylayer');
// Store a memory
await memory.remember(
'User prefers dark mode UI',
{ type: 'semantic', importance: 0.8 }
);
// Search memories
const results = await memory.search('UI preferences');
console.log(results[0].content); // "User prefers dark mode UI"python
from plugins.memorylayer import memory
# Store
memory.remember(
"Boss prefers direct reporting with zero bullshit",
memory_type="semantic",
importance=0.9
)
# Search
results = memory.recall("What are Boss's preferences?")
for r in results:
print(f"{r.relevance_score:.2f}: {r.memory.content}")python
# Inject entire memory files
context = open('MEMORY.md').read() # 10,500 tokens
prompt = f"{context}\n\nUser: What are my preferences?"python
# Inject only relevant memories
context = memory.get_context("user preferences", limit=5) # ~500 tokens
prompt = f"{context}\n\nUser: What are my preferences?"Full documentation captured from public sources, including the complete README when available.
Docs source
GITHUB OPENCLEW
Editorial quality
ready
Semantic memory for AI agents. 95% token savings with vector search. --- name: memorylayer description: Semantic memory for AI agents. 95% token savings with vector search. homepage: https://memorylayer.clawbot.hk metadata: clawdbot: emoji: "🧠" --- MemoryLayer Semantic memory infrastructure for AI agents that actually scales. Features - **95% Token Savings** - Retrieve only relevant memories - **Semantic Search** - Find memories by meaning, not keywords - **Sub-200ms** - Lightning-fa
Semantic memory infrastructure for AI agents that actually scales.
Visit https://memorylayer.clawbot.hk and sign up with Google. You'll get:
# Option 1: Email/Password
export MEMORYLAYER_EMAIL=your@email.com
export MEMORYLAYER_PASSWORD=your_password
# Option 2: API Key (recommended for production)
export MEMORYLAYER_API_KEY=ml_your_api_key_here
pip install memorylayer
// In your Clawdbot agent
const memory = require('memorylayer');
// Store a memory
await memory.remember(
'User prefers dark mode UI',
{ type: 'semantic', importance: 0.8 }
);
// Search memories
const results = await memory.search('UI preferences');
console.log(results[0].content); // "User prefers dark mode UI"
from plugins.memorylayer import memory
# Store
memory.remember(
"Boss prefers direct reporting with zero bullshit",
memory_type="semantic",
importance=0.9
)
# Search
results = memory.recall("What are Boss's preferences?")
for r in results:
print(f"{r.relevance_score:.2f}: {r.memory.content}")
Before MemoryLayer:
# Inject entire memory files
context = open('MEMORY.md').read() # 10,500 tokens
prompt = f"{context}\n\nUser: What are my preferences?"
After MemoryLayer:
# Inject only relevant memories
context = memory.get_context("user preferences", limit=5) # ~500 tokens
prompt = f"{context}\n\nUser: What are my preferences?"
Result: 95% token reduction, $900/month savings at scale
memory.remember(content, options)Store a new memory.
Parameters:
content (string): Memory contentoptions.type (string): 'episodic' | 'semantic' | 'procedural'options.importance (number): 0.0 to 1.0options.metadata (object): Additional tags/dataReturns: Memory object with id
memory.search(query, limit)Search memories semantically.
Parameters:
query (string): Search query (natural language)limit (number): Max results (default: 10)Returns: Array of SearchResult objects
memory.get_context(query, limit)Get formatted context for prompt injection.
Parameters:
query (string): What context do you need?limit (number): Max memories (default: 5)Returns: Formatted string ready for prompt
memory.stats()Get usage statistics.
Returns: Object with total_memories, memory_types, operations_this_month
Episodic - Events and experiences
memory.remember('Deployed MemoryLayer on 2026-02-03', { type: 'episodic' });
Semantic - Facts and knowledge
memory.remember('Boss prefers concise reports', { type: 'semantic' });
Procedural - How-to and processes
memory.remember('To restart server: ssh root@... && systemctl restart...', { type: 'procedural' });
memory.remember('User likes blue', {
type: 'semantic',
metadata: {
category: 'preferences',
subcategory: 'colors',
source: 'user_profile'
}
});
const stats = await memory.stats();
console.log(`Total memories: ${stats.total_memories}`);
console.log(`Operations this month: ${stats.operations_this_month}`);
console.log(`Plan: ${stats.plan} (${stats.operations_limit}/month)`);
FREE Plan (Current)
Pro Plan ($99/mo)
Enterprise (Custom)
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/davidhx1000-cloud-memorylayer-skill/snapshot"
curl -s "https://xpersona.co/api/v1/agents/davidhx1000-cloud-memorylayer-skill/contract"
curl -s "https://xpersona.co/api/v1/agents/davidhx1000-cloud-memorylayer-skill/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/davidhx1000-cloud-memorylayer-skill/snapshot",
"contractUrl": "https://xpersona.co/api/v1/agents/davidhx1000-cloud-memorylayer-skill/contract",
"trustUrl": "https://xpersona.co/api/v1/agents/davidhx1000-cloud-memorylayer-skill/trust"
},
"curlExamples": [
"curl -s \"https://xpersona.co/api/v1/agents/davidhx1000-cloud-memorylayer-skill/snapshot\"",
"curl -s \"https://xpersona.co/api/v1/agents/davidhx1000-cloud-memorylayer-skill/contract\"",
"curl -s \"https://xpersona.co/api/v1/agents/davidhx1000-cloud-memorylayer-skill/trust\""
],
"jsonRequestTemplate": {
"query": "summarize this repo",
"constraints": {
"maxLatencyMs": 2000,
"protocolPreference": [
"OPENCLEW"
]
}
},
"jsonResponseTemplate": {
"ok": true,
"result": {
"summary": "...",
"confidence": 0.9
},
"meta": {
"source": "GITHUB_OPENCLEW",
"generatedAt": "2026-04-16T23:29:20.119Z"
}
},
"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": "vendor",
"category": "vendor",
"label": "Vendor",
"value": "Clawbot",
"href": "https://memorylayer.clawbot.hk",
"sourceUrl": "https://memorylayer.clawbot.hk",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-04-15T02:17:14.818Z",
"isPublic": true
},
{
"factKey": "protocols",
"category": "compatibility",
"label": "Protocol compatibility",
"value": "OpenClaw",
"href": "https://xpersona.co/api/v1/agents/davidhx1000-cloud-memorylayer-skill/contract",
"sourceUrl": "https://xpersona.co/api/v1/agents/davidhx1000-cloud-memorylayer-skill/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-04-15T02:17:14.818Z",
"isPublic": true
},
{
"factKey": "handshake_status",
"category": "security",
"label": "Handshake status",
"value": "UNKNOWN",
"href": "https://xpersona.co/api/v1/agents/davidhx1000-cloud-memorylayer-skill/trust",
"sourceUrl": "https://xpersona.co/api/v1/agents/davidhx1000-cloud-memorylayer-skill/trust",
"sourceType": "trust",
"confidence": "medium",
"observedAt": null,
"isPublic": true
}
]Change Events JSON
[]
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