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Hindsight Blog

Updates, insights, and deep dives into agent memory

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Hindsight

Releases, guides, and deep dives into agent memory

How We Built Time-Aware Spreading Activation for Memory Graphs

How We Built Time-Aware Spreading Activation for Memory Graphs

Hindsight — Stories, Not Rows

Mar 12, 202611 min read
Run Hindsight with Ollama: Local AI Memory, No API Keys Needed

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.

Mar 10, 202610 min read
What's new in Hindsight 0.4.17

What's new in Hindsight 0.4.17

New features and improvements in Hindsight 0.4.17

Mar 10, 20265 min read
Pydantic AI Persistent Memory: Add It in 5 Lines of Code

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.

Mar 9, 202613 min read
The Memory Upgrade Every OpenClaw User Needs

The Memory Upgrade Every OpenClaw User Needs

TL;DR

Mar 6, 202612 min read
Give Your OpenAI App a Memory in 5 Minutes

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.

Mar 5, 20265 min read
What's new in Hindsight 0.4.16

What's new in Hindsight 0.4.16

New features and improvements in Hindsight 0.4.16

Mar 5, 20263 min read
The Open-Source MCP Memory Server Your AI Agent Is Missing

The Open-Source MCP Memory Server Your AI Agent Is Missing

AI agents forget everything between sessions. Hindsight gives them persistent, structured memory via MCP. One Docker command to run the full stack locally. Connect any MCP-compatible client. Three core operations: retain (store), recall (search), reflect (reason) — plus mental models that auto-update as memories grow.

Mar 4, 202610 min read