NASC — Networked AI Session Continuity is answering right now. Last checked 6 min ago.
Shared memory across AI dev tools: each session hands its context to the next, not starting cold.
Everything else answered, so this is steady rather than shaky. We check every 15 minutes, which is how a one-off gets told apart from the start of a pattern, and how you hear about the next one within the hour instead of from your users.
Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 6 min ago.
claude mcp add nasc --transport http https://nasc.archerionlabs.com/mcp
{
"mcpServers": {
"nasc": {
"url": "https://nasc.archerionlabs.com/mcp"
}
}
}
[mcp_servers.nasc]
url = "https://nasc.archerionlabs.com/mcp"
{
"mcpServers": {
"nasc": {
"url": "https://nasc.archerionlabs.com/mcp"
}
}
}
{
"mcpServers": {
"nasc": {
"url": "https://nasc.archerionlabs.com/mcp"
}
}
}
This endpoint answered with an authorization challenge. The server is running, and it signs you in through your browser: there is no API key to paste.
| URL | Transport | State | Latency | Checked |
|---|---|---|---|---|
| https://nasc.archerionlabs.com/mcp | streamable-http | sign-in | 436 ms | 6 min ago |
AI agent memory: task tracking, scoped work packages, decisions, and cross-session continuity
Local-first AI context and memory server for cross-tool coding continuity.
Deterministic context selection for AI coding agents. Local memory that compounds across sessions.
AI session memory: the brief your AI reads before every session so no session starts cold.
Cross-device AI memory with encrypted activity capture and context handoff between AI tools
One private, local memory your AI tools share. Cross-model, on-device, never lose a session.
Local-first memory & context-handoff across AI tools — capture in one, resume in another. No cloud.
Shared, governed long-term memory for AI agents across tools and sessions via MCP and REST.
Answers built from our own checks of this server.