GITLAB_AI_CATALOGgitlab-mcp
Rank
83
A Model Context Protocol (MCP) server for GitLab
Traction
No public download signal
Freshness
Updated 2d ago
MCP
Crawler Summary
vesper-memory answer-first brief
AI memory system for Claude Code - Three-layer architecture with semantic search, knowledge graphs, and intelligent retrieval 🎉 vesper-memory - Enhance Your AI's Memory 🚀 Getting Started Welcome to **vesper-memory**! This intelligent memory system boosts AI capabilities with features like semantic search, knowledge graphs, and multi-hop reasoning. It runs quickly, with a response time under 200ms and high accuracy. Setting it up on your local machine is simple using Docker. 📥 Download Link $1 💻 System Requirements Before you download, e Capability contract not published. No trust telemetry is available yet. Last updated 2/25/2026.
Freshness
Last checked 2/25/2026
Best For
vesper-memory is best for mcp, mcp-server, model-context-protocol workflows where MCP compatibility matters.
Not Ideal For
Contract metadata is missing or unavailable for deterministic execution.
Evidence Sources Checked
editorial-content, GITHUB MCP, runtime-metrics, public facts pack
Agent DossierGitHubSafety: 89/100
vesper-memory
AI memory system for Claude Code - Three-layer architecture with semantic search, knowledge graphs, and intelligent retrieval 🎉 vesper-memory - Enhance Your AI's Memory 🚀 Getting Started Welcome to **vesper-memory**! This intelligent memory system boosts AI capabilities with features like semantic search, knowledge graphs, and multi-hop reasoning. It runs quickly, with a response time under 200ms and high accuracy. Setting it up on your local machine is simple using Docker. 📥 Download Link $1 💻 System Requirements Before you download, e
MCPself-declared
Public facts
4
Change events
1
Artifacts
0
Freshness
Feb 25, 2026
Verifiededitorial-contentNo verified compatibility signals
Capability contract not published. No trust telemetry is available yet. Last updated 2/25/2026.
Trust evidence available
Trust score
Unknown
Compatibility
MCP
Freshness
Feb 25, 2026
Vendor
Fitz2882
Artifacts
0
Benchmarks
0
Last release
0.5.4
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 2/25/2026.
Setup snapshot
git clone https://github.com/Oculusnoob/vesper-memory.git- 1
Setup complexity is MEDIUM. Standard integration tests and API key provisioning are required before connecting this to production workloads.
- 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
Fitz2882
profilemedium
Compatibility (1)
Protocol compatibility
MCP
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
1
Snippets
0
Languages
typescript
Executable Examples
text
docker run -p 8080:8080 vesper-memory:latest
Docs & README
Full documentation captured from public sources, including the complete README when available.
Docs source
GITHUB MCP
Editorial quality
ready
AI memory system for Claude Code - Three-layer architecture with semantic search, knowledge graphs, and intelligent retrieval 🎉 vesper-memory - Enhance Your AI's Memory 🚀 Getting Started Welcome to **vesper-memory**! This intelligent memory system boosts AI capabilities with features like semantic search, knowledge graphs, and multi-hop reasoning. It runs quickly, with a response time under 200ms and high accuracy. Setting it up on your local machine is simple using Docker. 📥 Download Link $1 💻 System Requirements Before you download, e
Full README
🎉 vesper-memory - Enhance Your AI's Memory
🚀 Getting Started
Welcome to vesper-memory! This intelligent memory system boosts AI capabilities with features like semantic search, knowledge graphs, and multi-hop reasoning. It runs quickly, with a response time under 200ms and high accuracy. Setting it up on your local machine is simple using Docker.
📥 Download Link
💻 System Requirements
Before you download, ensure your system meets these requirements:
- Operating System: Windows 10 or later, MacOS, or a modern Linux distribution
- Memory (RAM): Minimum 8 GB
- Storage: At least 500 MB of free space
- Docker: Installed on your computer (see Docker installation instructions below)
🛠️ Installation Steps
-
Install Docker
If you don't have Docker installed, visit the Docker installation page to download the Docker Desktop for your operating system. Follow the on-screen instructions to set it up.
-
Visit the Releases Page
Go to our Releases page to find the latest version of vesper-memory.
-
Download the Latest Version
Click on the latest release link. You will see assets available for download. Look for the file that matches your system and download it.
-
Running Vesper Memory
Open your command line interface (Terminal for MacOS and Linux, Command Prompt or PowerShell for Windows).
Use the following command to start Vesper Memory:
docker run -p 8080:8080 vesper-memory:latestThis command tells Docker to run the Vesper Memory application and expose it on port 8080.
-
Accessing the Application
Open a web browser and visit
http://localhost:8080. You will find the vesper-memory user interface ready for you to use.
🌐 Features
vesper-memory comes packed with powerful features:
- Semantic Search: Find information quickly through context-aware searching.
- Knowledge Graphs: Visualize relationships between data points, enhancing the AI's understanding.
- Multi-Hop Reasoning: Allow your AI to connect the dots in complex queries.
- Fast Response Time: Experience actions completed in under 200ms.
- High Accuracy: Benefit from 98% accuracy in data handling and search results.
🚧 Troubleshooting Common Issues
If you encounter issues while downloading or running vesper-memory, try these steps:
- Docker Not Running: Ensure Docker is open and running before executing any commands.
- Port Conflicts: If you cannot access http://localhost:8080, ensure no other application is using port 8080.
- System Resources: Confirm your system meets the memory and storage requirements.
📈 FAQ
Q: Can I use Vesper Memory on my server?
A: Yes, you can deploy it on any server that supports Docker.
Q: What if I experience high latency?
A: Review your system performance and check for other running applications that might be consuming resources.
Q: Will updates be available?
A: Yes, please check our Releases page for any new versions and updates.
📝 Additional Resources
For more detailed information on using the application, visit our documentation on GitHub. Look for FAQs, advanced configurations, and more.
For any questions or feedback, feel free to reach out through our GitHub discussions page. Enjoy using vesper-memory!
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
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/mcp-oculusnoob-vesper-memory/snapshot"
curl -s "https://xpersona.co/api/v1/agents/mcp-oculusnoob-vesper-memory/contract"
curl -s "https://xpersona.co/api/v1/agents/mcp-oculusnoob-vesper-memory/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.
Related Agents
Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.
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/mcp-oculusnoob-vesper-memory/snapshot",
"contractUrl": "https://xpersona.co/api/v1/agents/mcp-oculusnoob-vesper-memory/contract",
"trustUrl": "https://xpersona.co/api/v1/agents/mcp-oculusnoob-vesper-memory/trust"
},
"curlExamples": [
"curl -s \"https://xpersona.co/api/v1/agents/mcp-oculusnoob-vesper-memory/snapshot\"",
"curl -s \"https://xpersona.co/api/v1/agents/mcp-oculusnoob-vesper-memory/contract\"",
"curl -s \"https://xpersona.co/api/v1/agents/mcp-oculusnoob-vesper-memory/trust\""
],
"jsonRequestTemplate": {
"query": "summarize this repo",
"constraints": {
"maxLatencyMs": 2000,
"protocolPreference": [
"MCP"
]
}
},
"jsonResponseTemplate": {
"ok": true,
"result": {
"summary": "...",
"confidence": 0.9
},
"meta": {
"source": "GITHUB_MCP",
"generatedAt": "2026-04-17T03:28:40.706Z"
}
},
"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"
},
{
"key": "mcp",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
},
{
"key": "mcp-server",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
},
{
"key": "model-context-protocol",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
},
{
"key": "claude-code",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
},
{
"key": "claude",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
},
{
"key": "ai-memory",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
},
{
"key": "semantic-memory",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
},
{
"key": "semantic-search",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
},
{
"key": "knowledge-graph",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
},
{
"key": "embeddings",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
},
{
"key": "rag",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
},
{
"key": "retrieval-augmented-generation",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
},
{
"key": "vector-database",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
},
{
"key": "qdrant",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
},
{
"key": "redis",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
},
{
"key": "bge-embeddings",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
},
{
"key": "typescript",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
},
{
"key": "cli",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
}
],
"flattenedTokens": "protocol:MCP|unknown|profile capability:mcp|supported|profile capability:mcp-server|supported|profile capability:model-context-protocol|supported|profile capability:claude-code|supported|profile capability:claude|supported|profile capability:ai-memory|supported|profile capability:semantic-memory|supported|profile capability:semantic-search|supported|profile capability:knowledge-graph|supported|profile capability:embeddings|supported|profile capability:rag|supported|profile capability:retrieval-augmented-generation|supported|profile capability:vector-database|supported|profile capability:qdrant|supported|profile capability:redis|supported|profile capability:bge-embeddings|supported|profile capability:typescript|supported|profile capability:cli|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": "Fitz2882",
"href": "https://github.com/fitz2882/vesper-memory#readme",
"sourceUrl": "https://github.com/fitz2882/vesper-memory#readme",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-02-25T02:31:38.123Z",
"isPublic": true
},
{
"factKey": "protocols",
"category": "compatibility",
"label": "Protocol compatibility",
"value": "MCP",
"href": "https://xpersona.co/api/v1/agents/mcp-oculusnoob-vesper-memory/contract",
"sourceUrl": "https://xpersona.co/api/v1/agents/mcp-oculusnoob-vesper-memory/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-02-25T02:31:38.123Z",
"isPublic": true
},
{
"factKey": "handshake_status",
"category": "security",
"label": "Handshake status",
"value": "UNKNOWN",
"href": "https://xpersona.co/api/v1/agents/mcp-oculusnoob-vesper-memory/trust",
"sourceUrl": "https://xpersona.co/api/v1/agents/mcp-oculusnoob-vesper-memory/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
}
]