Memory

io.github.VelixarAiPublished by GitHub account VelixarAiv0.2.4Updated Oct 24, 2026

Persistent memory for AI assistants. Store, search, and recall across sessions.

The publisher's own server: Memory.fit

VerifiedSTDIODesktop onlyKnowledge & MemoryAI & ML

Overview

AI-generated overview

Velixar Memory gives an AI assistant persistent, searchable memory across sessions, with a knowledge graph, identity profile and contradiction tracking.

What you can do
  • Store, search, browse, update and delete memories, including batch store and batch search
  • Orient in a workspace, inspect a memory's provenance, trace how a topic evolved, and surface contradictions or recurring patterns
  • Build and traverse a knowledge graph of entities and relationships, and maintain a persistent user identity and preference profile
  • Save and recall session summaries, distill sessions into durable memories, consolidate and retag memories
  • Export memories as JSON or Markdown and import from JSON, Markdown, Notion or Obsidian
  • Check backend health, debug state, capabilities and content scanning mode
When to use it
Useful when you want an assistant to remember preferences, decisions and project context between conversations, or to keep a structured knowledge graph and user profile that carries across sessions and workspaces.
Requirements
Runs locally as an npm package (velixar-mcp-server) over stdio and needs Node.js. Requires a Velixar API key in the VELIXAR_API_KEY environment variable and network access to the Velixar backend. Optional variables set workspace scope, API URL, user identity, logging and a health-check port.
Before you install
Memories are stored on Velixar's backend, so conversation content, session summaries and profile details leave your machine. The API key is a secret and should be kept out of shared configs. Tools can update, delete, consolidate, retag and import memories in bulk, and the identity tool can change the stored user profile. Workspace scoping decides which memories are visible, so check it before storing sensitive material.

Installation

In SourceWeft

  1. Open Memory in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.

Other MCP clients

Follow the launch instructions in the repository.

README

Velixar MCP Server

[npm] [License]

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

40 tools. 5 live resources. 19 workflow prompts. One npm install.

Quick Start

bash
npm install -g velixar-mcp-server

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

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

Restart your assistant. Done.

Tool Surface

Memory

ToolWhat it does
velixar_storeStore a memory with tags, tier, and type
velixar_searchSemantic search across all memories
velixar_listBrowse with pagination and filtering
velixar_updateEdit content or tags on an existing memory
velixar_deleteRemove a memory

Cognitive

ToolWhat it does
velixar_contextSynthesized workspace briefing — orientation in one call
velixar_identityGet, store, or update the user's profile, preferences, and expertise
velixar_contradictionsSurface conflicting facts or beliefs with resolution guidance
velixar_timelineHow a topic or belief evolved over time
velixar_patternsRecurring problem/solution motifs across your history
velixar_inspectDeep inspection of a specific memory with full provenance chain
velixar_graph_traverseWalk entity relationships — "what connects to X?"
velixar_distillExtract durable memories from session content with deduplication

Lifecycle

ToolWhat it does
velixar_session_saveSave a session summary for later recall
velixar_session_recallRestore context from a previous session
velixar_batch_storeStore up to 20 memories in one call
velixar_batch_searchRun up to 10 search queries simultaneously
velixar_consolidateMerge related memories into a single durable memory
velixar_retagBulk update tags across memories
velixar_exportExport memories as JSON or Markdown, optionally with graph data
velixar_importBulk import from JSON, Markdown, Notion, or Obsidian exports

System

ToolWhat it does
velixar_healthBackend connectivity, latency, workspace status
velixar_debugCache state, circuit breaker, API timings
velixar_capabilitiesFeature list, tool inventory, resource URIs
velixar_securityGet or set content scanning mode

Live Resources

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

ResourceWhat it provides
velixar://system/constitutionBehavioral rules and cognitive modes for the assistant
velixar://identity/currentYour persistent user profile
velixar://memories/recentMost recent memories (compact)
velixar://memories/relevantContextually relevant memories based on current activity
velixar://domains/{domain}/shadow_graphKnowledge 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.

PrioritySourceHow
1VELIXAR_WORKSPACE_ID env varExplicit
2.velixar.json in project root{ "workspace_id": "my-project" }
3Git root directory nameAutomatic

Host Compatibility

HostToolsResourcesPrompts
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

VariableRequiredDescription
VELIXAR_API_KEYYesYour API key (starts with vlx_)
VELIXAR_WORKSPACE_IDNoExplicit workspace scope
VELIXAR_API_URLNoCustom API endpoint
VELIXAR_USER_IDNoExplicit end-user identity. Leave unset (recommended): the API derives scope from your key — you see your own memories, same as the dashboard. Set it only when one key serves multiple named end users
VELIXAR_DEBUGNotrue for verbose logging
VELIXAR_LOG_FORMATNojson for structured Datadog/CloudWatch logging
VELIXAR_HEALTH_PORTNoPort 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

License

MIT

Source: README.md at commit 3723fb6

Tools

0
SourceWeft has not started this package in its sandbox yet, so its tools are not known.

Version history

1
  1. v0.2.4LatestSep 16, 2026

Score

50% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 days25 pts

    Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.

  • Auth declared10 pts

    Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.

  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts

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