Knownbase gives AI agents durable, structured project memory that persists across sessions, tools, and workflows. Thro…
Knownbase gives AI agents durable, structured project memory that persists across sessions, tools, and workflows. Through MCP, agents can store and retrieve Markdown-based knowledge such as architecture decisions, debugging discoveries, implementation details, handoffs, project facts, and ongoing work. Notes can be organized by project, tags, status, and structured metadata, then searched efficiently using full-text queries and incremental last-modified filtering. Knownbase goes beyond basic memory storage with note revision history, linked notes and backlinks, batch retrieval, optimistic concurrency control, soft deletion, project-scoped access, workspace-level permissions, and project export and backup capabilities. Its lean retrieval model also lets agents search first and fetch full note bodies only when needed, reducing unnecessary context usage. The result is a reliable shared memory layer for MCP-compatible AI agents, allowing them to resume work with the right project context instead of repeatedly reconstructing decisions and discoveries from previous conversations.
zeeshan-zstech
mcp
free
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