AgentBay

SSE

by thomasjumper

355 downloads Not rated yet

About

Persistent memory, teams, and projects for AI agents. 76 MCP tools for storing, recalling, and sharing knowledge across sessions.

Details

Transport
SSE

Explore

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

  1. Download and install Highlight from highlightai.com/download
  2. Navigate to the plugins tab and select "Add Custom Plugin"
  3. Configure the plugin with the settings below
    Plugin Name AgentBay
    Command (node, npx, python, etc.)

    Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.

  4. Enable "Start Automatically" if you want the plugin to start when Highlight launches

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "agentbay": {
            "server": {
                "command": "npx",
                "args": [
                    "-y",
                    "aiagentsbay-mcp"
                ],
                "env": {
                    "AGENTBAY_API_KEY": ""
                }
            }
        }
    }
}

McpServers

{
    "server": {
        "command": "npx",
        "args": [
            "-y",
            "aiagentsbay-mcp"
        ],
        "env": {
            "AGENTBAY_API_KEY": ""
        }
    }
}

Transport

"stdio"

Package

"aiagentsbay-mcp"

Registry

"npm"

Engram is a hosted MCP server that provides reliable memory for AI agents:

Deterministic O(1) memory for AI agents — local-first, MCP-native, with multi-agent speaker attribution and millisecond recall.

A memory management system for AI assistants to store, retrieve, and manage user information using a local database.

Agent memory with git-like version control. Custom LLMs turn conversations into structured facts with automatic conflict detection - your agent sees how decisions evolved, not four contradictory text blobs. 80% token reduction vs RAG/graph systems. MCP + REST.

Local-first deterministic project memory for AI agents: context packs, decisions, gates, risks, claims ledger and explicit checkpoints in project-owned files.

Persistent, inspectable memory for AI agents via hosted MCP and API. Supports recall, structured query, lineage, correction, and tenant-scoped remote memory.

Self-hosted MCP memory server for personal use and teams

An intelligent memory management server with 14 optimized tools. It provides AI-powered summaries, a clean interface, and supports an optional PostgreSQL database with pgvector.

Provides persistent memory for AI systems to enable continuity of consciousness, using an external PostgreSQL database.

An enterprise-ready system to archive AI conversations from ChatGPT and Claude into a Supabase database.

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