A persistent memory layer that allows agents to store and retrieve memories via a REST API is suggested, which could improve the functionality of LangChain agents.
Built a persistent memory layer specifically designed to plug into LangChain and similar agent frameworks. \*\*AmPN Memory Store\*\* gives your agents: \- Store + retrieve memories via REST API \- Semantic search (finds relevant context, not just exact matches) \- User-scoped memory (agent remembers each user separately) \- Python SDK: \`pip install ampn-memory\` Quick example: \`\`\`python from ampn import MemoryClient client = MemoryClient(api\_key='your\_key') client.store(user\_id='alice', content='Prefers concise answers') results = client.search(user\_id='alice', query='communication style') \`\`\` Free tier available. \*\*ampnup.com\*\* — would love to hear what memory challenges you're running into.