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Add persistent memory, recall, and task management to agents across sessions.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "ilma" yet — see the docs or source repo.
Use ilma to design an agent memory setup: store user preferences, conversation summaries, and key facts, and support recall in future sessions.
A memory schema, storage strategy, recall flow, and example calls.
Use ilma to implement a cross-session task workflow: create tasks, update status, track progress, and continue in the next conversation.
A task model, status transition rules, and sample interactions.
Based on ilma, plan a research assistant that saves source leads, conclusions, and open questions for fast recall and follow-up.
Memory categories, retrieval methods, and usage examples for research work.
Lightweight vector memory for AI agents to store, search, and delete memories.
Persistent knowledge-graph memory for MCP with semantic search and version tracking.
Give AI agents persistent memory, retrieval, and context management across conversations.
Give AI agents persistent memory, shared reasoning, and auditable collaboration.
Give AI agents persistent memory and semantic retrieval across conversations.
Give AI agents persistent memory, recall, and context management across sessions