Adaptive Recall
Adaptive memory system for AI applications. Patent pending.
adaptiverecall.com | Documentation | Sign Up Free
Power your agent
Perintah milik penerbit sendiri. Bukan endpoint PlugMCP.
Host a copy with our keys and logs.
npx -y [email protected]Claude Code tidak punya tautan instal untuk perintah lokal. Salin perintah di bawah dan jalankan di terminal.
ADAPTIVE_RECALL_API_KEY=<secret> claude mcp add io.github.aiappsapi-adaptive-recall -- npx -y adaptive-recall@1.0.1Jalankan di terminal.
{ "mcpServers": { "io.github.aiappsapi-adaptive-recall": { "command": "npx", "args": [ "-y", "[email protected]" ], "env": { "ADAPTIVE_RECALL_API_KEY": "<secret>" } } }}claude_desktop_config.json
URL remote atau perintah di mesin Anda? Perbedaan kedua cara instal
Jalankan di PlugMCP
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.
BukaDari penerbit
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>" } } }}Tool
Belum ada daftar tool. Server remote mendapatkannya setelah pemeriksaan kesehatan pertama.
FAQ
Salin konfigurasi stdio untuk Cursor, Claude Desktop, Claude Code, atau VS Code di halaman ini. Konfigurasi ini memakai instalasi dari penerbit, bukan proxy PlugMCP.
Penerbit mencantumkan variabel lingkungan berikut: ADAPTIVE_RECALL_API_KEY.
Adaptive Recall berjalan secara lokal melalui stdio.
Terakhir diperiksa 2026-11-08. Adaptive memory system with cognitive scoring, knowledge graph, and self-improving ML.