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December 1, 2025 19:15
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how to share archives between letta agents
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| from letta_client import Letta | |
| import os | |
| # Initialize client | |
| client = Letta(api_key=os.getenv("LETTA_API_KEY")) | |
| config = client.models.embeddings.list()[0] | |
| agent = client.agents.create( | |
| name="agent", | |
| model="openai/gpt-5-mini", | |
| tools=["archival_memory_search", "archival_memory_insert"], | |
| ) | |
| print(f"Created agent {agent.id}") | |
| agent2 = client.agents.create( | |
| name="agent2", | |
| model="openai/gpt-5-mini", | |
| tools=["archival_memory_search", "archival_memory_insert"], | |
| ) | |
| print(f"Created agent {agent2.id}") | |
| # Create an archive | |
| archive = client.archives.create( | |
| name="test", | |
| description="An archive for testing shared archives.", | |
| embedding_config=config | |
| ) | |
| print(archive) | |
| # Attach the archive to the agent | |
| client.agents.archives.attach(archive.id, agent_id=agent.id) | |
| client.agents.archives.attach(archive.id, agent_id=agent2.id) | |
| # Print out the attached archives | |
| archive = client.archives.list(agent_id=agent.id) | |
| print(archive) | |
| # Ask the first agent to insert a memory. | |
| response = client.agents.messages.create( | |
| agent.id, | |
| input="Please insert an archival memory reading 'red' using your tool." | |
| ) | |
| print(response) | |
| # Ask the second agent to read from memory. | |
| response2 = client.agents.messages.create( | |
| agent2.id, | |
| input="Please search your archival memory using the query 'colors'. Summarize what you find." | |
| ) | |
| print(response2) | |
| client.agents.delete(agent.id) | |
| print(f"Deleted agent {agent.id}") | |
| client.agents.delete(agent2.id) | |
| print(f"Deleted agent {agent2.id}") |
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