Atulya Blog
Updates, insights, and deep dives into agent memory
The Memory Upgrade Every OpenClaw User Needs
TL;DR
Give Your OpenAI App a Memory in 5 Minutes
Build a ChatGPT-style chatbot with persistent memory using the OpenAI SDK and Atulya. Three API calls — retain(), recall(), reflect() — and your app remembers users across restarts, no vector database or RAG pipeline required.
What's new in Atulya 0.8.0
New features and improvements in Atulya 0.8.0
The Open-Source MCP Memory Server Your AI Agent Is Missing
AI agents forget everything between sessions. Atulya 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.
I Gave 100+ LLMs a Permanent Memory With One Python Package
atulya-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.
What's new in Atulya 0.4.15
New features and improvements in Atulya 0.4.15
Your CrewAI Agents Forget Everything Between Runs. Here's the Fix.
CrewAI agents lose all memory when a crew finishes. atulya-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.
What's new in Atulya 0.4.13 and 0.4.14
New features and improvements in Atulya 0.4.13 and 0.4.14
Your Vercel Chat SDK bot forgets everything. Atulya fixes that.
TL;DR
What's new in Atulya 0.4.12
New features and improvements in Atulya 0.4.12