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Synapse Layer

github.comInfrastructure

PulseGate's liveness check found it on 16 Sep 2026; it has been in the index since 16 Sep 2026. How this is checked

Synapse Layer is developer infrastructure for persistent AI agent memory, combining encrypted storage with semantic retrieval and cross-agent continuity. It is designed for developers integrating memory into agent systems through MCP and Python-based tooling.

Inferred · not functionally tested

CLIAPISelf-hosted
Synapse Layer preview
Visit github.com
1alternative
6features
2026since

Overview

6 features

Purpose: Maintaining secure, persistent memory and continuity across AI agents.

Inferred · not functionally tested

Audience: AI developers building agent systems

Inferred · not functionally tested

Functions: rag, agents

Inferred · not functionally tested

Interfaces: API: indicated (inferred, not tested) · MCP: indicated (inferred, not tested) · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)

Recorded constraints: pricing: unknown · license: Proprietary · platforms: API, CLI · deployment: cli, api_only, self_hosted

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: github.com. These links do not verify the individual claims.

Synapse Layer is a Memory & skills project. Inferred · not functionally tested: It focuses on maintaining secure, persistent memory and continuity across AI agents. Inferred · not functionally tested: Synapse Layer is an open-source project aimed at AI developers building agent systems. Basis unknown · not verified: It runs on the command line and API, and it can be self-hosted.

Behind Synapse Layer is SynapseLayer. Inferred · not functionally tested: Key capabilities include encrypted storage, semantic retrieval, and persistent memory. Inferred · not functionally tested: Catalogued interfaces include an MCP server and a public API.

Summary written by a language model from the project’s public pages.

Tasks: Inferred · not functionally tested

  • Encrypted storage
  • Semantic retrieval
  • Persistent memory
  • Cross-agent continuity
  • MCP integration
  • Python installation

Topics: Inferred · not functionally tested

Tags
persistent-agent-memoryencrypted-storagesemantic-retrievalcross-agent-continuitymcp-native
AI capabilities
TextStructured
Inference: Hybrid

JSON profile · Text profile · Access guide

Built with & integrations

AI providers
multiple
Connectors
MCPAPI
Runs on
CLIAPI-onlySelf-hosted
Detected from
multiple
bLangChain in the HTML

Trust & compliance

Public signals
HTTPS

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed16 Sep · 13:15 UTC
    Synapse Layer — Zero-Knowledge Memory seen via MCP Registry (official)
    Source: MCP Registry (official) · Open

Frequently asked questions about Synapse Layer

What does Synapse Layer do?
Inferred · not functionally tested: Synapse Layer focuses on maintaining secure, persistent memory and continuity across AI agents. It is catalogued under Memory & skills on PulseGate.
Who is Synapse Layer for?
Inferred · not functionally tested: Synapse Layer is an open-source project built for AI developers building agent systems.
What platforms does Synapse Layer run on?
Basis unknown · not verified: Synapse Layer runs on the command line and API. It can also be self-hosted.
Is Synapse Layer still active?
PulseGate's liveness check found it on 16 Sep 2026.
Who develops Synapse Layer?
Synapse Layer is developed by SynapseLayer.
Does Synapse Layer have an API or integrations?
Inferred · not functionally tested: Yes — Synapse Layer exposes an MCP server and a public API.

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