Store user facts, preferences, decisions, and context for persistent recall across conversations. Enables AI agents to remember important information through semantic search and knowledge graphs.
Bulk-fetch recent LINE messages per chat and index them for cross-conversation search, backfilling missing vectors or reconciling selected conversations.
MCP server providing 1:1 tool parity with Arcade.dev's HubSpot Conversations API toolkit, enabling reading and sending conversation messages, managing threads, inboxes, channels, and custom channels from any MCP client.
Enables AI assistants to list and read existing ChatGPT conversations and send messages into them, retrieving the assistant's reply through ChatGPT Desktop's native bridge. It works without cookies, UI automation, or an OpenAI API key.
Add nodes to knowledge graphs for organizing components, events, requirements, or concepts. Supports multiple graph types including topology, timelines, and knowledge bases.
Compute PageRank centrality, Louvain communities, critical paths, and bottlenecks in directed graphs to identify influential nodes, clusters, and chokepoints.
Send messages to Grok chat models to generate OpenAI-compatible chat completions, supporting reasoning, vision, and tool calling via the AceDataCloud API.
Create OpenAI-compatible chat completions through Routara, supporting single messages, multi-turn conversations, system prompts, and tool calls with access to 48+ models.
Retrieve recent LINE conversations grouped by chat, including both sides of messages, to generate daily or weekly briefs. Official accounts are excluded by default.