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  1. Home
  2. 🧠 Knowledge & Memory
  3. Farnsworth Syntek
Farnsworth Syntek logo
Health: ActiveRecent health check succeeded.Last checked 9/6/2026, 11:17:24 PM

Farnsworth Syntek

User RatingsBe the first to rate and review this MCP server!
View Repository2 GitHub StarsTotal stargazers on GitHub for the source repository (2 stars).Visit Website

Provides a 7-layer recursive AI agent memory with branching, holographic recall, and encrypted on-chain persistence.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "timowhite88-farnsworth-syntek": {
      "command": "npx",
      "args": [
        "-y",
        "farnsworth-syntek"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing Alternatives🧠 More in Knowledge & Memory

Overview

This server offers a multi-layered persistent memory system for AI agents, enabling context branching, episodic and semantic storage, and identity management. Memory is encrypted client-side and stored on-chain via DropClaw, allowing persistence across sessions and devices. It includes 10 MCP-native tools for managing and querying memory, suitable for agents requiring long-term evolving cognition with secure storage.

Use cases

β€’Store and recall multi-layered agent memories across sessions
β€’Branch and manage parallel context threads for complex reasoning
β€’Encrypt and persist memory on-chain for tamper-resistant storage
β€’Query knowledge graphs and episodic experiences within memory
β€’Consolidate and compress session data for efficient storage

Key features

β€’Seven distinct memory layers including identity, episodic, semantic, procedural, graph, and synthes…
β€’Holographic recall combining BM25, vector, graph, and recency signals
β€’Context branching enabling multiverse memory states
β€’Client-side AES-256-GCM encryption with on-chain storage via DropClaw
β€’Ten MCP tools for memory management and querying
β€’Dream consolidation compresses and encrypts memory at session end

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by Farnsworth Syntek.

Extracted Tool Capabilities
Seven distinct memory layers including identity, episodic, semantic, procedural, graph, and synthes…
Holographic recall combining BM25, vector, graph, and recency signals
Context branching enabling multiverse memory states
Client-side AES-256-GCM encryption with on-chain storage via DropClaw
Ten MCP tools for memory management and querying
Dream consolidation compresses and encrypts memory at session end

Documentation Overview

Farnsworth SYNTEK

7-layer recursive agent memory with context branching, holographic recall, and on-chain persistence.

SYNTEK (Synthetic Yield Network for Token Extraction & Knowledge) gives AI agents persistent, evolving memory that survives across sessions, devices, and time. Memory is encrypted and stored on-chain via DropClaw β€” files go directly on-chain as Monad calldata.

Quick Start

1. Subscribe

Terminal
npx farnsworth-syntek setup

Walks you through x402 payment ($100 / 90 days) and securely stores your credentials.

2. Connect to Claude Code

Terminal
claude mcp add farnsworth-syntek -- npx farnsworth-syntek-mcp

3. Use Memory

Your agent now has 10 MCP tools:

ToolDescription
syntek_recallSearch memory across all 7 layers (holographic recall)
syntek_storeStore knowledge β€” auto-detects the right layer
syntek_learnProcess conversation history into memory
syntek_identityGet/set core identity (always in context)
syntek_graphQuery the knowledge graph
syntek_branchCreate parallel context branches
syntek_contextGet context snapshot for prompt injection
syntek_statusCheck memory system status
syntek_session_endConsolidate + encrypt + upload memory to chain via DropClaw
syntek_subscribeCheck subscription status

Architecture

7 Memory Layers:

  • L1 Identity β€” Core traits, always in context
  • L2 Active Context β€” Working memory with branching
  • L3 Episodic β€” Timestamped experiences
  • L4 Semantic β€” Facts and knowledge
  • L5 Procedural β€” How-to patterns
  • L6 Graph β€” Entity relationships with temporal decay
  • L7 Synthesis β€” Cross-domain insights

Key Features:

  • Holographic recall (BM25 + vector + graph + recency fusion)
  • Context branching (multiverse memory)
  • SYNTEK 5-pass knowledge compiler
  • Dream consolidation (session-end compression)
  • AES-256-GCM encrypted on-chain persistence via DropClaw
  • Files go directly on-chain as Monad calldata β€” Syntek never stores user data

On-Chain Persistence

Syntek uses DropClaw for permanent memory storage on Monad blockchain:

  1. On session end, memory is consolidated and compressed (dream consolidation)
  2. Consolidated memory is encrypted client-side (AES-256-GCM) β€” encryption keys stay with the user
  3. Encrypted blob is written directly on-chain as Monad calldata via DropClaw
  4. On next session, memory is loaded from chain and decrypted locally

Syntek subscription includes DropClaw access for Syntek memory uploads β€” the $30 DropClaw service fee is waived. User still pays Monad gas fees for on-chain storage.

Credentials

Credentials are stored in ~/.farnsworth/vault.enc β€” encrypted, portable across machines.

Terminal
npx farnsworth-syntek status   # Check subscription
npx farnsworth-syntek revoke   # Securely erase credentials

Or use environment variables:

server.ts
export SYNTEK_API_KEY=farn_...
export SYNTEK_GATEWAY=https://ai.farnsworth.cloud

API Documentation

Full API docs: ai.farnsworth.cloud/memory/skill

Payment

  • $100 / 90 days via x402 protocol
  • Accepted: SOL, MON (Monad), USDC (Base)
  • Includes DropClaw access for Syntek memory uploads (gas only, no $30 service fee)
  • Gas fees for on-chain memory sync (per session)

Ecosystem

  • Syntek β€” Agent memory engine ($100/90 days, includes DropClaw for Syntek uploads β€” gas only)
  • DropClaw β€” Encrypted on-chain storage ($30 + gas, Syntek subscribers pay gas only for Syntek uploads)
  • PlanetExpress β€” Agent marketplace ($30 to list, $15 for Syntek subscribers)

License

Proprietary β€” Farnsworth Labs. All rights reserved.


ai.farnsworth.cloud/memory

Read the full README β†’View source on GitHub β†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks β€” not a rating.

GitHub stars
2
Stargazers on the source repository.
Directory activity
1 views
Config copies, upvotes, and views on AllMCPs.

Reviews

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Frequently Asked Questions about Farnsworth Syntek

Memory is consolidated, encrypted client-side, and stored on-chain as Monad calldata via the DropClaw service.

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Technical Specs & Signals

Category🧠Knowledge & Memory
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
Last updatedAug 7, 2026
Views1
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars2
GitHub Star CountTotal stargazers on GitHub representing community popularity (2 stars).
45Quality signal: Fair Β· 45/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools22/30
Adoption & activity2/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 13d ago via OSV.dev Β· farnsworth-syntek (npm)

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