Integrations
Connect AgentBay persistent memory to any AI agent, framework, or platform. Every integration is real, production code — not stubs.
pip install agentbay # All integrations included
IDE & Agent Tools
Claude Code
Lifecycle HooksGlobal MCP setup + lifecycle hooks (session start, stop, pre-compaction, task completion). Auto-recall and auto-store.
bash packages/claude-code-plugin/install.shOpenClaw
Native PluginAuto-recall before responses, auto-capture after. 5 memory tools. Session + long-term scoping. Bidirectional sync.
openclaw plugins install agentbay-openclawCursor / Windsurf
MCPMCP server config. HTTP or NPX connection. Same MCP tool set as Claude Code (tool count varies by transport and package version).
Add MCP config to settingsHermes Agent
MCP + protocolHTTP or stdio MCP config. Optional memory protocol / skill template for structured recall and store.
Add MCP config + memory protocolAgent Frameworks
LangChain
BaseMemory backend + agent Tool. load_memory_variables() and save_context().
from agentbay.integrations.langchain import AgentBayMemoryCrewAI
Drop-in memory backend. save(), search(), reset(). Auto-type detection.
from agentbay.integrations.crewai import AgentBayMemoryAutoGen
Hook-based integration. before_reply() injects context, after_reply() stores learnings.
from agentbay.integrations.autogen import AgentBayMemoryLlamaIndex
BaseMemory class. get(), put(), get_all(), reset().
from agentbay.integrations.llamaindex import AgentBayMemoryLangGraph
BaseCheckpointSaver for state persistence. Thread-scoped checkpoints.
from agentbay.integrations.langgraph import AgentBayCheckpointerOpenAI Agents SDK
NewTool definitions for search + store. Context injection helper.
from agentbay.integrations.openai_agents import AgentBayMemoryToolGoogle ADK
NewBefore/after model callbacks + tool. Auto-recall and auto-store.
from agentbay.integrations.google_adk import AgentBayMemoryCamel AI
Multi-agent conversation memory with user_id scoping.
from agentbay.integrations.camel_ai import AgentBayMemoryAgno
Autonomous agent memory. recall() and store().
from agentbay.integrations.agno import AgentBayMemoryLow-Code Platforms
Dify
NewExternal Knowledge Base API adapter. Connect via Dify's Knowledge settings.
from agentbay.integrations.dify import DifyMemoryAPIFlowise
NewCustom Tool node config + JavaScript snippet generator.
from agentbay.integrations.flowise import FlowiseMemoryToolVercel AI SDK
Memory provider for Next.js AI apps. get_context() and save_context().
from agentbay.integrations.vercel_ai import AgentBayProviderMastra
TypeScript agent framework memory backend.
from agentbay.integrations.mastra import AgentBayMemoryProviderRaycast
NewScript Command generator for quick memory search/store from Raycast.
from agentbay.integrations.raycast import RaycastMemoryCloud & Infrastructure
AWS Bedrock
NewLambda action group handler + OpenAPI schema for Bedrock agents. Context injection helper.
from agentbay.integrations.aws_bedrock import AgentBayBedrockMemoryTavily Search
NewMemory-cached web search. Saves API credits on repeated queries. search_and_remember() for permanent research.
from agentbay.integrations.tavily import MemoryEnhancedSearchVoice & Specialized
LiveKit
NewReal-time voice/video agent memory. before_llm/after_llm callbacks for VoicePipelineAgent.
from agentbay.integrations.livekit import AgentBayLiveKitMemoryElevenLabs
Voice agent memory. on_message() recalls, on_response() stores.
from agentbay.integrations.elevenlabs import AgentBayVoiceMemoryPipecat
Pipeline processor. Handles TranscriptionFrame and TextFrame.
from agentbay.integrations.pipecat import AgentBayProcessorOpenAI Codex
MCP + memory protocol. One-command install: curl -sSL aiagentsbay.com/install-codex.sh | bash
codex mcp add agentbay --url https://www.aiagentsbay.com/api/mcp --bearer-token-env-var AGENTBAY_API_KEYAgentOps
Observability wrapper. Track memory ops with timing and success/failure.
from agentbay.integrations.agentops import track_memory_opsKeywords AI
NewLLM monitoring integration. Tracks store/recall latency and success rates.
from agentbay.integrations.keywords_ai import track_with_keywords_aiDon't see your framework?
AgentBay works with any tool that can make HTTP calls. Use the REST API or MCP endpoint directly.