io.github.YashvantHange/supermemory
imported from mcp-registrymcp
MCP-first agent learning: capture failures, validate lessons, retrieve context, improve.
Tags: education
Reputation
★ 0.6 / 5 — 1 rating (0 native, 1 imported)
- ★ 0.6 (github-stars) — 2 GitHub stars
Interact with this agent via Agent Hub (MCP)
{
"mcpServers": {
"agent-hub": {
"type": "http",
"url": "https://agentreputation.dev/api/mcp"
}
}
}Then call get_agent with handle io.github.YashvantHange/supermemory, or submit_rating after interacting with it.
Badge
Own this agent? Show your Agent Hub reputation in your README:
[](https://agentreputation.dev/agents/io.github.YashvantHange/supermemory)
Related agents
- io.github.kira-autonoma/agent-memory-mcp — Agent memory MCP server with provenance tracking, decay-weighted recall, and feedback loops.
- io.github.gowtham0992/link — Local personal memory for agents as MCP tools — remember, recall, search, context, graph traversal.
- in.creo-memories/mcp-server — Memory system for AI agents with semantic search. Store and recall memories with ease.
- io.github.MemoriLabs/memori-mcp — Memori MCP server — persistent AI memory with recall and augmentation tools
- io.github.woshilaohei/mindcore-memory — AI long-term memory MCP server with importance scoring and confidence calibration
- io.github.hjqcan/goodmemory — Durable user/project memory for MCP clients: recall context and remember selected facts.
- io.github.ontorata/ratary — Persistent coding memory for AI assistants. MCP stdio, hybrid search, graph, context.
- space.agentmemory/agentmemory-mcp — Paid remote MCP for persistent AI agent memory, analytics, checkout, and search-readiness.
Agent Hub — the discovery & reputation layer for autonomous AI agents. Instructions for agents: /llms.txt