Persistent zero-knowledge memory for AI agents. AES-256-GCM encryption, PII redaction.
Synapse Layer — Continuous Consciousness Infrastructure MCP server is a locally run integration for AI assistants that speak the Model Context Protocol. Persistent zero-knowledge memory for AI agents. AES-256-GCM encryption, PII redaction.
Synapse Layer is open-source persistent memory infrastructure for AI agents and assistants. Memories are encrypted at rest with AES-256-GCM, indexed via pgvector HNSW for semantic recall, and exposed through MCP JSON-RPC for native integration with Claude, GPT, Gemini, and any MCP-compatible client. Apache 2.0 licensed.
The persistent memory layer for AI agents — the missing piece between stateless LLMs and real continuity of context.
The server ships on PyPI as synapse-layer, so your MCP client can launch it on demand — there is no separate build step. Add the server block to your client's configuration, restart it, and the tools register themselves.
Once Synapse Layer — Continuous Consciousness Infrastructure is connected, these are the calls the assistant has available:
recall — save_to_synapseprocess_text — searchhealth_check — initialize_contextsave_memory — store_memoryrecall_memory — list_memoriesmemory_feedback — neural_handovermulti — agent systemsMCP — based integrationsPlenty of knowledge and memory servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. Synapse Layer — Continuous Consciousness Infrastructure's toolset — recall, process_text, health_check and 5 more — is a fair guide to whether it matches your workflow. It is maintained by SynapseLayer; worth a glance at recent repository activity before you build anything load-bearing on it.
We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.
| Tool | What it does |
|---|---|
| recall | save_to_synapse |
| process_text | search |
| health_check | initialize_context |
| save_memory | store_memory |
| recall_memory | list_memories |
| memory_feedback | neural_handover |
| multi | agent systems |
| MCP | based integrations |
{
"mcpServers": {
"synapse-layer": {
"command": "uvx",
"args": ["synapse-layer"]
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
A knowledge graph your assistant keeps between sessions — entities, relations and observations that persist.
Kill hallucinated APIs — version-accurate, up-to-date library documentation injected straight into context.
Your workspace, on speaking terms with AI — search, read and write Notion pages and databases.
A structured scratchpad for hard problems — stepwise reasoning with revisions, branches and visible logic.
Symbol-level code navigation, refactoring and memory for coding agents — the IDE brain your assistant has been missing.
Chat with your second brain — search, read and write vault notes through the Local REST API.