Memory

Velixar MCP Server

The first cognitive memory server for AI assistants. Not a vector database wrapper — a full reasoning layer that gives your AI persistent memory, a knowledge graph, identity awareness, contradiction detection, and belief tracking across every session.

Works with any Model Context Protocol client: Claude Desktop, Kiro, Cursor, Windsurf, Continue.dev, or custom hosts.

Why This Exists

Every AI assistant starts from zero every conversation. Velixar fixes that — but not by just storing and retrieving text. The MCP server gives your assistant the ability to:

• Orient itself in a workspace with a single call — no manual context assembly
• Track how beliefs evolve over time and surface when they contradict
• Build and traverse a knowledge graph of entities and relationships it discovers
• Maintain a persistent identity model of who you are, what you prefer, and how you work
• Distill sessions into durable memories automatically, with deduplication
• Import and export your entire memory corpus for backup or migration

25 tools. 5 live resources. 16 workflow prompts. One npm install.

Quick Start

npm install -g velixar-mcp-server

Get an API key at velixarai.com/settings/api-keys, then add to your MCP client:

{
  "mcpServers": {
    "velixar": {
      "command": "velixar-mcp-server",
      "env": {
        "VELIXAR_API_KEY": "vlx_your_key_here"
      }
    }
  }
}

Restart your assistant. Done.

Tool Surface

Memory

Tool	What it does
velixar_store	Store a memory with tags, tier, and type
velixar_search	Semantic search across all memories
velixar_list	Browse with pagination and filtering
velixar_update	Edit content or tags on an existing memory
velixar_delete	Remove a memory

Cognitive

Tool	What it does
velixar_context	Synthesized workspace briefing — orientation in one call
velixar_identity	Get, store, or update the user's profile, preferences, and expertise
velixar_contradictions	Surface conflicting facts or beliefs with resolution guidance
velixar_timeline	How a topic or belief evolved over time
velixar_patterns	Recurring problem/solution motifs across your history
velixar_inspect	Deep inspection of a specific memory with full provenance chain
velixar_graph_traverse	Walk entity relationships — "what connects to X?"
velixar_distill	Extract durable memories from session content with deduplication

Lifecycle

Tool	What it does
velixar_session_save	Save a session summary for later recall
velixar_session_recall	Restore context from a previous session
velixar_batch_store	Store up to 20 memories in one call
velixar_batch_search	Run up to 10 search queries simultaneously
velixar_consolidate	Merge related memories into a single durable memory
velixar_retag	Bulk update tags across memories
velixar_export	Export memories as JSON or Markdown, optionally with graph data
velixar_import	Bulk import from JSON, Markdown, Notion, or Obsidian exports

System

Tool	What it does
velixar_health	Backend connectivity, latency, workspace status
velixar_debug	Cache state, circuit breaker, API timings
velixar_capabilities	Feature list, tool inventory, resource URIs
velixar_security	Get or set content scanning mode

Live Resources

Resources are injected into your assistant's context automatically — no tool call needed.

Resource	What it provides
velixar://system/constitution	Behavioral rules and cognitive modes for the assistant
velixar://identity/current	Your persistent user profile
velixar://memories/recent	Most recent memories (compact)
velixar://memories/relevant	Contextually relevant memories based on current activity
velixar://domains/{domain}/shadow_graph	Knowledge graph view for a specific domain

Workflow Prompts

16 built-in prompts that guide multi-step reasoning workflows:

• Orientation — recall prior reasoning, build project context, profile an entity, orient-then-narrow
• Conflict — resolve contradictions, identify knowledge gaps
• Continuity — trace belief evolution, resume sessions, reconstruct decision paths
• Lifecycle — distill sessions, consolidate topic memory, retag recent memories
• Identity — summarize user identity, detect preference shifts, align response style
• Enterprise — evaluate enterprise fit for a domain

Workspace Isolation

Memories are scoped to workspaces. Your personal project never bleeds into work.

Priority	Source	How
1	VELIXAR_WORKSPACE_ID env var	Explicit
2	.velixar.json in project root	{ "workspace_id": "my-project" }
3	Git root directory name	Automatic

Host Compatibility

Host	Tools	Resources	Prompts
Kiro CLI	✅	✅	✅
Claude Desktop	✅	✅	✅
Cursor	✅	⚠️	—
Windsurf	✅	⚠️	—
Continue.dev	✅	✅	✅

When a host doesn't support resources or prompts, the server degrades gracefully — all tools still work independently.

Environment Variables

Variable	Required	Description
VELIXAR_API_KEY	Yes	Your API key (starts with vlx_)
VELIXAR_WORKSPACE_ID	No	Explicit workspace scope
VELIXAR_API_URL	No	Custom API endpoint
VELIXAR_USER_ID	No	User ID for memory scoping
VELIXAR_DEBUG	No	true for verbose logging
VELIXAR_LOG_FORMAT	No	json for structured Datadog/CloudWatch logging
VELIXAR_HEALTH_PORT	No	Port for HTTP health check endpoint

Reliability

• Automatic retry with exponential backoff (3 attempts)
• Circuit breaker — opens after sustained failures, auto-recovers
• Cache fallback — serves stale data during outages rather than failing
• Structured logging compatible with Datadog and CloudWatch

SDKs

Use Velixar directly from code:

• JavaScript/TypeScript: npm install velixar — docs
• Python: pip install velixar — docs

CI/CD Integration

• GitHub Actions: velixar-memory-sync — distill PR merges into memories
• GitHub Actions: velixar-decision-capture — store issue resolutions as decisions
• Webhook: POST /webhook/ci — generic CI event ingestion

License

MIT