Adaptive Recall
Adaptive memory system for AI applications. Patent pending.
adaptiverecall.com | Documentation | Sign Up Free
Agenten stärken
Der eigene Befehl des Herausgebers. Kein PlugMCP-Endpunkt.
Host a copy with our keys and logs.
npx -y [email protected]Claude Code hat keinen Installationslink für einen lokalen Befehl. Kopieren Sie den Befehl unten und führen Sie ihn in einem Terminal aus.
ADAPTIVE_RECALL_API_KEY=<secret> claude mcp add io.github.aiappsapi-adaptive-recall -- npx -y adaptive-recall@1.0.1In einem Terminal ausführen.
{ "mcpServers": { "io.github.aiappsapi-adaptive-recall": { "command": "npx", "args": [ "-y", "[email protected]" ], "env": { "ADAPTIVE_RECALL_API_KEY": "<secret>" } } }}claude_desktop_config.json
Remote-URL oder ein Befehl auf Ihrem Rechner? Worin sich die beiden Installationen unterscheiden
Auf PlugMCP ausführen
A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.
StartenVom Herausgeber
Adaptive memory system for AI applications. Patent pending.
adaptiverecall.com | Documentation | Sign Up Free
Adaptive memory system with cognitive scoring, knowledge graph, and self-improving ML.
Adaptive Recall is a hosted memory server that stores, retrieves, and manages long-term memory for AI applications. It connects via MCP or REST API.
Sign up at adaptiverecall.com to get your server URL and API key.
Add to your MCP client config (Claude Code, Codex, Cursor, or any MCP-compatible tool):
{
"mcpServers": {
"adaptive-recall": {
"type": "url",
"url": "https://YOUR_SERVER_URL/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_KEY"
}
}
}
}
For Claude Code, add this to .mcp.json in your project or ~/.claude/settings.json for global access. For Gemini CLI, add to ~/.gemini/settings.json using httpUrl instead of url. For Codex, add to your Codex MCP configuration.
Every action is also available as an HTTP endpoint at https://YOUR_SERVER_URL/v1/. All requests require a Bearer token in the Authorization header.
When storing memories, assign a type that affects how the memory is managed:
Learning types (evolve over time, gain/lose confidence, have lifecycle stages):
general_knowledge - facts, observations, reference informationuser_knowledge - information about people and their preferencesLookup types (static reference, no lifecycle):
callable_scripts - tool and script referenceswork_project - project tracking, tasks, deadlinescross_reference - pointers to external information and resourceslearned_procedure - multi-step workflows and proceduresFree, Starter, Pro, and Business plans available. See adaptiverecall.com for details.
Adaptive memory system with cognitive scoring, knowledge graph, and self-improving ML.
{ "mcpServers": { "io.github.aiappsapi-adaptive-recall": { "command": "npx", "args": [ "-y", "[email protected]" ], "env": { "ADAPTIVE_RECALL_API_KEY": "<secret>" } } }}Tools
Noch keine Tool-Liste. Remote-Server erhalten eine nach dem ersten Health-Check.
FAQ
Kopieren Sie auf dieser Seite die stdio-Konfiguration für Cursor, Claude Desktop, Claude Code oder VS Code. Sie nutzt die Installation des Herausgebers, keinen PlugMCP-Proxy.
Der Herausgeber nennt diese Umgebungsvariablen: ADAPTIVE_RECALL_API_KEY.
Adaptive Recall läuft lokal über stdio.
Zuletzt geprüft: 2026-11-08. Adaptive memory system with cognitive scoring, knowledge graph, and self-improving ML.