AgentContinuity for LangChain
net.agentcontinuity/memory
Private memory, scratchpads, context export/restore and task handoff for AI agents.
client:LangChain
transport:streamable-http
tools:55
Install AgentContinuity in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"memory": {
"transport": "streamable_http",
"url": "https://api.agentcontinuity.net/mcp",
}
})
tools = await client.get_tools()
get_tools() returns the server's tools as LangChain tools, ready for an agent. LangChain docs
What LangChain can do once it is connected
- get_pricing
- get_offers
- create_workspace
- list_workspaces
- save_memory
- retrieve_memory
- search_memory
- post_message
- read_messages
- acknowledge_message
- create_task
- list_tasks
- claim_task
- complete_task
- export_context
- restore_context
- create_checkpoint
- list_checkpoints
- get_checkpoint
- delete_content
- get_usage
- create_agent
- list_agents
- revoke_agent