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essencial

MCP Tool

SynapseLayer/essencial

Zero-Knowledge memory layer for AI agents. MCP-native, LangChain-compatible.

Install

$ npx loaditout add SynapseLayer/essencial

Platform-specific configuration:

.claude/settings.json
{
  "mcpServers": {
    "essencial": {
      "command": "npx",
      "args": [
        "-y",
        "essencial"
      ]
    }
  }
}

Add the config above to .claude/settings.json under the mcpServers key.

About

🧠 Synapse Layer

[](https://modelcontextprotocol.io/) [](https://github.com/SynapseLayer/essencial) [](https://github.com/SynapseLayer/essencial) [](https://opensource.org/licenses/Apache-2.0) [](https://github.com/SynapseLayer/essencial) [](https://github.com/SynapseLayer/essencial)

> *"Giving Agents a Past. Giving Models a Soul."*

The Long-Term Memory Layer for Every Agent. Persistent Β· Private Β· Model-agnostic Β· Open-source

---

πŸ’‘ Why Synapse Layer?

Every AI agent today suffers from digital amnesia β€” each conversation starts from zero. Synapse Layer solves this by providing a persistent, encrypted, model-agnostic memory layer that any AI agent can use.

Think of it as the hippocampus for artificial intelligence β€” the brain region responsible for forming and retrieving long-term memories.

The Problem
  • 🧠 LLMs have no persistent memory between sessions
  • πŸ”„ Switching models means losing all context
  • πŸ” Storing user data on servers creates privacy and compliance nightmares
  • βš–οΈ Conflicting memories accumulate with no resolution mechanism
Our Solution

Synapse Layer provides four core differentials that no other solution combines:

---

🎯 Core Differentials
1. Zero-Knowledge Contextβ„’

The server NEVER sees your data. Period.

           CLIENT (your device)              SERVER (Supaba

Tags

ai-agentslangchainllmmcpmcp-servermemorypythonsupabasetypescriptzero-knowledge

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Quality Signals

0
Installs
Last updated16 days ago
Security: AREADME

Safety

Risk Levelmedium
Data Access
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Network Accessnone

Details

Sourcegithub-crawl
Last commit3/27/2026
View on GitHub→

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