Harness And Agents
Every LLM call is stateless, and a model on its own cannot act; the software that turns it into an agent is the harness.
9 stories
Every LLM call is stateless, and a model on its own cannot act; the software that turns it into an agent is the harness.
To add conversational memory to a LangChain app today, pass a checkpointer to create_agent and reuse one thread_id per conversation; to remember a person across conversations, add a LangGraph store or plug in Maximem Synap through the maximem-synap-langchain package.
Building your own agent means wiring sandbox, apps, channels, memory, schedules, and user-facing activity summaries yourself. Construct provides those pieces as a hosted product.
Maximem Synap's persistent agent memory now integrates with LiveKit Agents. Per-caller persistence, entity resolution, and 92% LongMemEval, 93.2% on LoCoMo accuracy for production voice agents.
Maximem Synap's persistent agent memory now integrates with Pipecat. Per-caller persistence, entity resolution, and 92% LongMemEval, 93.2% on LoCoMo accuracy for production voice and multimodal pipelines.
Maximem Synap's persistent agent memory now integrates with Microsoft Semantic Kernel. Per-user persistence, entity resolution, and 92% LongMemEval, 93.2% on LoCoMo accuracy for .NET and Python production agents.
Maximem Synap's persistent agent memory now integrates with Google ADK. Per-user persistence, entity resolution, and 92% LongMemEval, 93.2% on LoCoMo accuracy for GCP production agents.
Maximem Synap's persistent agent memory now integrates with CrewAI. Per-user persistence, entity resolution, and 92% LongMemEval, 93.2% on LoCoMo accuracy for multi-agent production workflows.
Maximem Synap's persistent agent memory now integrates with AutoGen. Per-user persistence, entity resolution, and 92% LongMemEval, 93.2% on LoCoMo accuracy for Microsoft multi-agent production systems.
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