Crawler Summary

MemoryForge AI with Redis, PostgreSQL, and Qdrant answer-first brief

Updated 9-16-25 Fixed EV issues Connections should be solid! v3.1.0 GREAT NEWS: The server will now work for everyone - Railway users, Heroku users, Render users, etc.! ***ONLY ADD EVS that APPLY TO YOUR OWN INSTANCES - Leave Blank if unused - :) Update 9-15-25 v3.0 fixed semantic search temporal tool: Add this at the beginning of n8n workflows to give temporal context UPDATED 9/1/2025! NEW TOOLS! Use the Redis Stream tools with n8n MCP Client Node for use anywhere! The Ultimate Context Intelligence Engine Transform your AI into a memory master with lightning-fast recall and semantic superpowers. MemoryForge AI is the most advanced context management system ever built for AI assistants. Combining blazing-fast Redis caching, rock-solid PostgreSQL persistence, and cutting-edge Qdrant vector search, it gives your AI perfect memory that never forgets and always finds exactly what you need. โšก Why MemoryForge Dominates: ๐Ÿš€ Sub-millisecond Context Retrieval - Redis-powered cache makes your AI respond instantly ๐ŸŽฏ Semantic Memory Search - Find related information even when you can't remember exact words ๐Ÿ’Ž Bulletproof Persistence - PostgreSQL ensures your context survives forever ๐Ÿ”„ Real-time Sync - Pub/sub notifications keep everything perfectly synchronized ๐Ÿงฌ Auto-Embedding Magic - Automatically converts text into searchable vector embeddings ๐ŸŽญ Multi-Session Mastery - Juggle unlimited parallel conversations and contexts ๐ŸŽช Perfect For: Conversation Continuity - Never lose track of what you were discussing Document Intelligence - Instantly find relevant emails, notes, and files Project Memory - Maintain context across complex, long-term projects Knowledge Synthesis - Connect related ideas from different conversations Personal AI Assistant - Build an AI that truly knows and remembers you Stop fighting with forgetful AI. Start building with MemoryForge - where every conversation builds on the last, and every search finds exactly what matters. Your AI's memory just got a PhD in remembering everything that matters. Updated 9-16-25 Fixed EV issues Connections should be solid! v3.1.0 GREAT NEWS: The server will now work for everyone - Railway users, Heroku users, Render users, etc.! ***ONLY ADD EVS that APPLY TO YOUR OWN INSTANCES - Leave Blank if unused - :) Update 9-15-25 v3.0 fixed semantic search temporal tool: Add this at the beginning of n8n workflows to give temporal context UPDATED 9/1/2025! NEW TOOLS! Use the Redis Strea Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.

Freshness

Last checked 4/15/2026

Best For

MemoryForge AI with Redis, PostgreSQL, and Qdrant is best for general automation workflows where MCP compatibility matters.

Not Ideal For

Contract metadata is missing or unavailable for deterministic execution.

Evidence Sources Checked

editorial-content, Smithery, runtime-metrics, public facts pack

Claim this agent
Agent DossierSmitherySafety: 86/100

MemoryForge AI with Redis, PostgreSQL, and Qdrant

Updated 9-16-25 Fixed EV issues Connections should be solid! v3.1.0 GREAT NEWS: The server will now work for everyone - Railway users, Heroku users, Render users, etc.! ***ONLY ADD EVS that APPLY TO YOUR OWN INSTANCES - Leave Blank if unused - :) Update 9-15-25 v3.0 fixed semantic search temporal tool: Add this at the beginning of n8n workflows to give temporal context UPDATED 9/1/2025! NEW TOOLS! Use the Redis Stream tools with n8n MCP Client Node for use anywhere! The Ultimate Context Intelligence Engine Transform your AI into a memory master with lightning-fast recall and semantic superpowers. MemoryForge AI is the most advanced context management system ever built for AI assistants. Combining blazing-fast Redis caching, rock-solid PostgreSQL persistence, and cutting-edge Qdrant vector search, it gives your AI perfect memory that never forgets and always finds exactly what you need. โšก Why MemoryForge Dominates: ๐Ÿš€ Sub-millisecond Context Retrieval - Redis-powered cache makes your AI respond instantly ๐ŸŽฏ Semantic Memory Search - Find related information even when you can't remember exact words ๐Ÿ’Ž Bulletproof Persistence - PostgreSQL ensures your context survives forever ๐Ÿ”„ Real-time Sync - Pub/sub notifications keep everything perfectly synchronized ๐Ÿงฌ Auto-Embedding Magic - Automatically converts text into searchable vector embeddings ๐ŸŽญ Multi-Session Mastery - Juggle unlimited parallel conversations and contexts ๐ŸŽช Perfect For: Conversation Continuity - Never lose track of what you were discussing Document Intelligence - Instantly find relevant emails, notes, and files Project Memory - Maintain context across complex, long-term projects Knowledge Synthesis - Connect related ideas from different conversations Personal AI Assistant - Build an AI that truly knows and remembers you Stop fighting with forgetful AI. Start building with MemoryForge - where every conversation builds on the last, and every search finds exactly what matters. Your AI's memory just got a PhD in remembering everything that matters. Updated 9-16-25 Fixed EV issues Connections should be solid! v3.1.0 GREAT NEWS: The server will now work for everyone - Railway users, Heroku users, Render users, etc.! ***ONLY ADD EVS that APPLY TO YOUR OWN INSTANCES - Leave Blank if unused - :) Update 9-15-25 v3.0 fixed semantic search temporal tool: Add this at the beginning of n8n workflows to give temporal context UPDATED 9/1/2025! NEW TOOLS! Use the Redis Strea

MCPself-declared

Public facts

4

Change events

1

Artifacts

0

Freshness

Apr 15, 2026

Verifiededitorial-contentNo verified compatibility signals

Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.

Trust evidence available

Trust score

Unknown

Compatibility

MCP

Freshness

Apr 15, 2026

Vendor

Cpretzinger

Artifacts

0

Benchmarks

0

Last release

Unpublished

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.

Setup snapshot

  1. 1

    Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.

  2. 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.

Verifiededitorial-content
Vendor (1)

Vendor

Cpretzinger

profilemedium
Observed Apr 15, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

MCP

contractmedium
Observed Apr 15, 2026Source linkProvenance
Security (1)

Handshake status

UNKNOWN

trustmedium
Observed unknownSource linkProvenance
Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium
Observed Apr 15, 2026Source linkProvenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredSmithery

Extracted files

0

Examples

0

Snippets

0

Languages

Unknown

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredSmithery

Docs source

Smithery

Editorial quality

ready

Updated 9-16-25 Fixed EV issues Connections should be solid! v3.1.0 GREAT NEWS: The server will now work for everyone - Railway users, Heroku users, Render users, etc.! ***ONLY ADD EVS that APPLY TO YOUR OWN INSTANCES - Leave Blank if unused - :) Update 9-15-25 v3.0 fixed semantic search temporal tool: Add this at the beginning of n8n workflows to give temporal context UPDATED 9/1/2025! NEW TOOLS! Use the Redis Stream tools with n8n MCP Client Node for use anywhere! The Ultimate Context Intelligence Engine Transform your AI into a memory master with lightning-fast recall and semantic superpowers. MemoryForge AI is the most advanced context management system ever built for AI assistants. Combining blazing-fast Redis caching, rock-solid PostgreSQL persistence, and cutting-edge Qdrant vector search, it gives your AI perfect memory that never forgets and always finds exactly what you need. โšก Why MemoryForge Dominates: ๐Ÿš€ Sub-millisecond Context Retrieval - Redis-powered cache makes your AI respond instantly ๐ŸŽฏ Semantic Memory Search - Find related information even when you can't remember exact words ๐Ÿ’Ž Bulletproof Persistence - PostgreSQL ensures your context survives forever ๐Ÿ”„ Real-time Sync - Pub/sub notifications keep everything perfectly synchronized ๐Ÿงฌ Auto-Embedding Magic - Automatically converts text into searchable vector embeddings ๐ŸŽญ Multi-Session Mastery - Juggle unlimited parallel conversations and contexts ๐ŸŽช Perfect For: Conversation Continuity - Never lose track of what you were discussing Document Intelligence - Instantly find relevant emails, notes, and files Project Memory - Maintain context across complex, long-term projects Knowledge Synthesis - Connect related ideas from different conversations Personal AI Assistant - Build an AI that truly knows and remembers you Stop fighting with forgetful AI. Start building with MemoryForge - where every conversation builds on the last, and every search finds exactly what matters. Your AI's memory just got a PhD in remembering everything that matters. Updated 9-16-25 Fixed EV issues Connections should be solid! v3.1.0 GREAT NEWS: The server will now work for everyone - Railway users, Heroku users, Render users, etc.! ***ONLY ADD EVS that APPLY TO YOUR OWN INSTANCES - Leave Blank if unused - :) Update 9-15-25 v3.0 fixed semantic search temporal tool: Add this at the beginning of n8n workflows to give temporal context UPDATED 9/1/2025! NEW TOOLS! Use the Redis Strea

Full README

Updated 9-16-25 Fixed EV issues Connections should be solid! v3.1.0 GREAT NEWS: The server will now work for everyone - Railway users, Heroku users, Render users, etc.! ***ONLY ADD EVS that APPLY TO YOUR OWN INSTANCES - Leave Blank if unused - :) Update 9-15-25 v3.0 fixed semantic search temporal tool: Add this at the beginning of n8n workflows to give temporal context

UPDATED 9/1/2025! NEW TOOLS!

Use the Redis Stream tools with n8n MCP Client Node for use anywhere!

The Ultimate Context Intelligence Engine Transform your AI into a memory master with lightning-fast recall and semantic superpowers.

MemoryForge AI is the most advanced context management system ever built for AI assistants. Combining blazing-fast Redis caching, rock-solid PostgreSQL persistence, and cutting-edge Qdrant vector search, it gives your AI perfect memory that never forgets and always finds exactly what you need.

โšก Why MemoryForge Dominates: ๐Ÿš€ Sub-millisecond Context Retrieval - Redis-powered cache makes your AI respond instantly ๐ŸŽฏ Semantic Memory Search - Find related information even when you can't remember exact words ๐Ÿ’Ž Bulletproof Persistence - PostgreSQL ensures your context survives forever ๐Ÿ”„ Real-time Sync - Pub/sub notifications keep everything perfectly synchronized ๐Ÿงฌ Auto-Embedding Magic - Automatically converts text into searchable vector embeddings ๐ŸŽญ Multi-Session Mastery - Juggle unlimited parallel conversations and contexts ๐ŸŽช Perfect For: Conversation Continuity - Never lose track of what you were discussing Document Intelligence - Instantly find relevant emails, notes, and files Project Memory - Maintain context across complex, long-term projects Knowledge Synthesis - Connect related ideas from different conversations Personal AI Assistant - Build an AI that truly knows and remembers you Stop fighting with forgetful AI. Start building with MemoryForge - where every conversation builds on the last, and every search finds exactly what matters.

Your AI's memory just got a PhD in remembering everything that matters.

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

MissingSmithery

Contract coverage

Status

missing

Auth

None

Streaming

No

Data region

Unspecified

Protocol support

MCP: self-declared

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.
Invocation examples
curl -s "https://xpersona.co/api/v1/agents/smithery-cpretzinger-ai-assistant-simple/snapshot"
curl -s "https://xpersona.co/api/v1/agents/smithery-cpretzinger-ai-assistant-simple/contract"
curl -s "https://xpersona.co/api/v1/agents/smithery-cpretzinger-ai-assistant-simple/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

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.

Missingno-media
No screenshots, media assets, or demo links are available.

Related Agents

Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

Self-declaredprotocol-neighbors
GITLAB_AI_CATALOGgitlab-mcp

Rank

83

A Model Context Protocol (MCP) server for GitLab

Traction

No public download signal

Freshness

Updated 2d ago

MCP
GITLAB_PUBLIC_PROJECTSgitlab-mcp

Rank

80

A Model Context Protocol (MCP) server for GitLab

Traction

No public download signal

Freshness

Updated 2d ago

MCP
GITLAB_AI_CATALOGrmcp-openapi

Rank

74

Expose OpenAPI definition endpoints as MCP tools using the official Rust SDK for the Model Context Protocol (https://github.com/modelcontextprotocol/rust-sdk)

Traction

No public download signal

Freshness

Updated 2d ago

MCP
GITLAB_AI_CATALOGrmcp-actix-web

Rank

72

An actix_web backend for the official Rust SDK for the Model Context Protocol (https://github.com/modelcontextprotocol/rust-sdk)

Traction

No public download signal

Freshness

Updated 2d ago

MCP
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://xpersona.co/api/v1/agents/smithery-cpretzinger-ai-assistant-simple/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/smithery-cpretzinger-ai-assistant-simple/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/smithery-cpretzinger-ai-assistant-simple/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/smithery-cpretzinger-ai-assistant-simple/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/smithery-cpretzinger-ai-assistant-simple/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/smithery-cpretzinger-ai-assistant-simple/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "MCP"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "SMITHERY",
      "generatedAt": "2026-04-17T00:01:01.489Z"
    }
  },
  "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": "MCP",
      "type": "protocol",
      "support": "unknown",
      "confidenceSource": "profile",
      "notes": "Listed on profile"
    }
  ],
  "flattenedTokens": "protocol:MCP|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": "Cpretzinger",
    "href": "https://github.com/cpretzinger/memory-forge",
    "sourceUrl": "https://github.com/cpretzinger/memory-forge",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-04-15T00:46:24.408Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "MCP",
    "href": "https://xpersona.co/api/v1/agents/smithery-cpretzinger-ai-assistant-simple/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/smithery-cpretzinger-ai-assistant-simple/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-04-15T00:46:24.408Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/smithery-cpretzinger-ai-assistant-simple/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/smithery-cpretzinger-ai-assistant-simple/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub ยท 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
  }
]

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