⚡ 30-Second Quickstart

pip install synapse-layer

from synapse_layer import Synapse

s = Synapse(token="sk_connect_YOUR_TOKEN")

s.save("user likes coffee")
print(s.recall("what does user like?"))

Get your token at forge.synapselayer.org → Dashboard → Connect

What is Synapse Layer?

The persistent memory layer for AI agents — the missing piece between stateless LLMs and real continuity of context.

Your AI agents forget everything between sessions. Synapse Layer fixes that.

Why Synapse Layer?

Your AI agents forget everything between sessions. Synapse Layer fixes that — in one line.

Use Cases

• Long-term assistant memory — persist user preferences, facts, and prior decisions across sessions.
• Cross-agent continuity — save context in one agent and recall it in another.
• Secure memory for MCP clients — connect Claude Desktop, Cursor, and other MCP-compatible tools to a governed memory layer.
• Operational memory for teams — maintain structured context, trust scoring, and searchable recall for production agents.

Install

pip install synapse-layer

Quick Start

Local SDK — in-process memory

import asyncio
from synapse_layer import SynapseClient

async def main():
    memory = SynapseClient(agent_id="my-agent")

    # Save
    await memory.store("User prefers dark mode and concise answers")

    # Recall
    results = await memory.recall("user preferences")
    for r in results:
        print(f"[TQ={r.trust_quotient:.2f}] {r.content}")

asyncio.run(main())

Cloud — Forge API (persistent, cross-agent)

from synapse_memory.client import Synapse

cli

... [View full README on GitHub](https://github.com/SynapseLayer/synapse-layer#readme)