velixar-mcp-server
About
Persistant AI Memory Browse Velixar MCP Server for Claude, Cursor, VS Code, and other AI agents.
Details
- Author
- velixarai
- Categories
- Developer Tools, AI
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Setup
Install velixar-mcp-server in your MCP client (Claude Desktop, Cursor, Windsurf, and others).
Repository: https://github.com/velixarai/velixar-mcp-server
Follow the installation instructions in the repository README, then restart your MCP client.
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 anyModel Context Protocolclient: Claude Desktop, Kiro, Cursor, Windsurf, Continue.dev, or custom hosts.
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 itselfin a workspace with a single call — no manual context assembly
- Track how beliefs evolveover time and surface when they contradict
- Build and traverse a knowledge graphof entities and relationships it discovers
- Maintain a persistent identity modelof who you are, what you prefer, and how you work
- Distill sessionsinto durable memories automatically, with deduplication
- Import and exportyour entire memory corpus for backup or migration
40 tools. 5 live resources. 19 workflow prompts. Onenpm install.
Get an API key atvelixarai.com/settings/api-keys, then add to your MCP client:
{ "mcpServers": { "velixar": { "command": "velixar-mcp-server", "env": { "VELIXAR_API_KEY": "vlx_your_key_here" } } } }
Resources are injected into your assistant's context automatically — no tool call needed.
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
Memories are scoped to workspaces. Your personal project never bleeds into work.
When a host doesn't support resources or prompts, the server degrades gracefully — all tools still work independently.
- 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
- JavaScript/TypeScript:npm install velixar—docs
- Python:pip install velixar—docs
- 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
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