Add persistent user memory to Agno agents with MemoryManager configuration.
npx skills add https://github.com/ajshedivy/agno-cookbook --skill agno-memory
Please help me install this Agent Skill. Skill: agno-memory Source: https://github.com/ajshedivy/agno-cookbook/tree/main/plugins/agno-framework/skills/agno-memory Command: npx skills add https://github.com/ajshedivy/agno-cookbook --skill agno-memory
This Skill enables Agno agents to remember user-specific facts, preferences, and context across multiple conversations and sessions, making them more personalized and effective.
Use the agno-memory skill to add persistent memory to your Agno agent by importing agno.memory and configuring the MemoryManager.
High-intent search queries and answers about installing and using this skill.
Persistent agent memory stores user-level facts and context across sessions. You configure a MemoryManager with a database backend, enabling the agent to save and recall user preferences, goals, and details independently from conversation history.
Shared memory allows multiple agents to access and contribute to a common memory store for a user. This enables different specialized agents to utilize the same stored facts and context for collaborative, personalized interactions.
Agentic memory allows agents to intelligently decide when to store or recall information. Instead of passively logging history, the agent actively evaluates conversation context to determine which facts are worth persisting for future sessions.
Multi-user session management isolates persistent context by storing user-level facts separately. This ensures the agent retrieves the correct preferences and history specific to each individual user during their respective interactions.
A database backend is required for context management and user memory persistence. This database stores the user-level facts and preferences, allowing the agent to reliably recall information across multiple conversations and sessions.
Storing user-level facts separately from conversation history is the best way to remember specific details. This persistent memory capability saves preferences and goals in a backend, making agents more personalized and effective.
ajshedivyCreate and manage multi-agent teams with Agno coordination modes.
victorlouAdd long-term and short-term memory to LangGraph agents using Databricks Lakebase.
metaphoricsBuild and deploy AI agents with Agno's MCP integration and AgentOS runtime.
jankneumannGuide setup, connections, and best practices for Neon Serverless Postgres.
