cognos-memory

You can give an AI agent persistent memory across sessions by storing facts and session logs as local Markdown files. This approach maintains context and past decisions without relying on external APIs.

The best way to manage AI knowledge locally without external APIs is using a filesystem-based approach that stores information as plain Markdown. This ensures data privacy while organizing facts and long-term summaries.

Yes, you can store AI context entirely as Markdown files on your local filesystem. This method allows agents to remember facts, recall information via queries, and consolidate session logs into long-term summaries.

AI agents recall past decisions by retrieving stored information from local Markdown files. They query these files to access previously recorded facts, architectural decisions, and ongoing task statuses from prior sessions.

No, local filesystem AI memory does not require external dependencies for core memory functions. It operates entirely locally, storing and recalling information as Markdown files to ensure data privacy.

To consolidate AI session logs into long-term summaries, the memory system processes and organizes stored Markdown files. It transforms individual session records into persistent knowledge for future context retrieval.