Knownbase is an innovative SaaS providing MCP-ready project memory for AI agents, designed to prevent context loss between agent sessions. It offers a trusted, fast, and searchable workspace for storing critical decisions, debugging trails, handoffs, and project facts, making it indispensable for developers and teams utilizing AI agents like Codex, Claude, and ChatGPT.
Key Features
- Durable Agent Memory: Stores decisions, debugging trails, handoffs, and architecture notes for persistent knowledge.
- Organized Workspace: Projects with statuses, tags, full-text search, and markdown, optimized for agent interaction.
- Scalable & Fast: Reliable storage and quick search capabilities, growing from solo agents to entire teams.
- Team Collaboration: Enables multiple agents and teammates to share and contribute to a unified memory.
- MCP Integration: Connects with any Model Context Protocol (MCP) compatible agent via an endpoint and API key.
- Secure Data: Isolated workspaces, hashed sessions/API keys, and PBKDF2 for passwords ensure privacy.
Use Cases
Knownbase solves the critical problem of AI agents "forgetting" context, which often leads to redundant work and inefficiencies. It's perfect for capturing the reasoning behind architectural choices, library selections, or trade-offs, ensuring that future agent sessions don't re-litigate past decisions. For debugging, it preserves the investigation trails that led to a fix, making the solution and its cause durable.
Moreover, Knownbase streamlines agent handoffs, allowing one agent to document progress and the next steps, enabling another agent to seamlessly pick up the task. This fosters continuous development and collaboration within AI-driven projects, ensuring that project facts, conventions, and credentials are always on hand for any agent.
Pricing Information
Knownbase offers a freemium model, starting with a free plan that includes 3 projects, 300 notes, and 2 MCP keys, requiring no credit card. Paid plans, offering more memory, begin with a 7-day free trial, with no charge until the trial concludes and the flexibility to cancel anytime.
User Experience and Support
Integration is straightforward: add the Knownbase MCP endpoint and an API key to your agent. Agents can then easily save and instantly recall information. Support is available via email at
hello@knownbase.dev or through their contact form. The platform also provides a blog with tutorials and guides on MCP and agent memory.
Technical Details
Built around the Model Context Protocol (MCP), Knownbase allows seamless interaction with various AI agents. It provides a fast, scalable backend for storing and retrieving agent-generated context. Data security is paramount, with isolated workspaces, hashed credentials, and PBKDF2 password encryption. Users retain control with options to export or delete their data.
Pros and Cons
- Pros: Persistent memory for AI agents, MCP compatibility, enhances team collaboration, captures critical project context, scalable, free plan available, strong security.
- Cons: Requires MCP-compatible agents, depends on agent programming for optimal use, API key management.
Conclusion
Knownbase delivers a crucial memory layer for AI agents, transforming how they operate by providing persistent context and fostering seamless collaboration. It's an indispensable tool for maximizing agent efficiency and project continuity. Discover Knownbase to empower your AI agents with reliable, shared memory.