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Run Hindsight with Ollama: Local AI Memory, No API Keys Needed
Running Hindsight with Ollama gives you a fully local AI memory system. No API keys, no cloud costs, no data leaving your machine. If you want persistent agent memory powered by open-source models on your own hardware, this tutorial walks through the complete setup.
Pydantic AI Persistent Memory: Add It in 5 Lines of Code
If you have built an AI agent with Pydantic AI, you already know it handles typed outputs, dependency injection, and async workflows well. But there is one thing it does not do: remember anything between runs. Every call to agent.run() starts with a blank slate. Your agent has no idea what the user said yesterday, what preferences they shared, or what it already researched.
Give Your OpenAI App a Memory in 5 Minutes
Build a ChatGPT-style chatbot with persistent memory using the OpenAI SDK and Hindsight. Three API calls — retain(), recall(), reflect() — and your app remembers users across restarts, no vector database or RAG pipeline required.
I Gave 100+ LLMs a Permanent Memory With One Python Package
hindsight-litellm adds persistent memory to any LLM provider via LiteLLM — OpenAI, Anthropic, Groq, Azure, Bedrock, Vertex AI, and 100+ more. Three lines of setup, and every LLM call automatically gets context from past conversations.
Your CrewAI Agents Forget Everything Between Runs. Here's the Fix.
CrewAI agents lose all memory when a crew finishes. hindsight-crewai plugs into CrewAI's ExternalMemory to persist knowledge across runs -- three lines of setup, and your agents automatically store task outputs and recall relevant context.