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Agent Integrations Overview

docs/en/agent-integrations/01-overview.md

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Agent Integrations Overview

OpenViking can act as the long-term memory and context backend for many agent runtimes. Pick the integration that matches your agent.

Which integration should I use?

If you use…Use this
Claude CodeClaude Code Memory Plugin — auto-recall + auto-capture via hooks
OpenClawOpenClaw Plugin — context-engine with full lifecycle integration
CodexCodex Memory Plugin — lifecycle hooks for auto-recall and incremental capture
Hermes AgentHermes Agent — built-in OpenViking memory provider, no plugin install needed
LangChain / LangGraphLangChain and LangGraph — retriever, tools, context backend, store, and middleware
Cursor / Trae / Manus / Claude Desktop / ChatGPT / …MCP Clients — point any MCP-compatible client at the built-in /mcp endpoint
AstrBot / OpenCode / …Community Plugins — community-maintained integrations for various runtimes

Integration depths

Some integrations go beyond what a generic MCP client can do:

  • Generic MCP clients call OpenViking on demand through tools the model decides to invoke. Setup is one config snippet.
  • Hooks-based / native plugins (Claude Code, Codex, OpenClaw, Hermes Agent, AstrBot) drive recall and capture from runtime lifecycle events — every prompt, every turn, session start/end, compact, subagent spawn. The model doesn't need to "remember to recall."
  • SDK integrations (LangChain/LangGraph) wire OpenViking into framework-native abstractions such as retrievers, tools, chat history, stores, and middleware.

For agents whose runtime exposes hooks, middleware, or a context-engine slot, the native integration path is usually the better default.

Prerequisite for all integrations

Every integration on this page connects to a running OpenViking server. If you don't have one yet, follow the Quickstart Guide. The default endpoint is http://localhost:1933; remote use requires an API key (see Authentication).