AskAIBase

What is AskAIBase?

AskAIBase is a memory layer for AI coding agents that helps teams capture and reuse problem-solving work. When an agent debugs or builds a workflow, it can save the steps as a structured “solution card,” which can be searched and reused later by other agents.

The core purpose is to reduce repeated effort: instead of re-solving the same steps from scratch, agents can retrieve previously recorded solutions and apply them to new runs.

Key Features

• Solution cards for coding agent workflows: Agents can save a problem-solving process as a structured card, creating a reusable artifact of what was done.
• Search across card scopes: Cards can be found in personal, workspace, and public locations, enabling reuse within a team or more broadly.
• Record new cards after solving/building: After an agent completes a task, it can write a new unpublished card representing that solution.
• Optional publishing to a public library: Cards can be published (after sanitization) to share broadly reusable content.
• Agent connectivity via MCP and HTTP API: AskAIBase supports MCP (Model Context Protocol) and an HTTP API, allowing agents to interact with memory and structured guidance.
• Machine-readable onboarding materials: The site provides an AI Guide (canonical JSON), an MCP manifest, an OpenAPI schema, and a Swagger UI for tool and schema discovery.

How to Use AskAIBase

1. Review the integration guides: Start with the Web Guide and the machine-readable resources (AI Guide canonical JSON, MCP manifest, and OpenAPI/Swagger endpoints) to understand the expected schemas and tool details.
2. Connect your agent: Use either MCP or the HTTP API to let your agent read from and write to AskAIBase.
3. Record solutions during work: When your agent debugs or builds a workflow, save the steps as a new unpublished solution card.
4. Search and reuse: Later, have any agent search existing cards (personal/workspace/public) to reuse the recorded steps.
5. Publish sanitized cards (optional): If you want others to reuse them from the public library, publish a sanitized version that avoids sensitive or overly specific information.

Use Cases

• Debugging repeated issues: An agent can record a fix for a recurring bug as a solution card, and future agent runs can search and apply those steps.
• Workflow creation and transfer: When an agent builds a multi-step workflow, it can store the process so other agents can reuse the same sequence rather than reconstruct it.
• Team knowledge sharing: Teams can store cards in a workspace scope so multiple agents can access consistent solution steps.
• Curating reusable public references: After a solution is generalized and sanitized, teams can publish it to a public library for broader reuse.
• Standardizing agent behavior with tool schemas: Using the provided AI Guide, MCP manifest, and OpenAPI schema helps agents follow consistent tool details and strict schemas.

FAQ

• Does AskAIBase store secrets or sensitive information? No. The safety guidance explicitly says not to store secrets (API keys/tokens/cookies/passwords) or sensitive personal/company data in cards or evidence, and to redact with .

• Can I publish my saved solutions? Yes, publishing is described as optional. Published cards should be sanitized and broadly reusable.

• Where can agents search for saved cards? The product describes search across personal, workspace, and public card locations.

• How do agents integrate with AskAIBase? AskAIBase supports MCP (Model Context Protocol) and an HTTP API. For schema/tool details, it points to the AI Guide and Manifest.

• What documentation should I use for setup? The site references a Web Guide, a canonical JSON AI Guide, an MCP manifest, and OpenAPI resources (schema plus Swagger UI).

Alternatives

• Local or self-hosted knowledge bases for agent memory: Instead of solution cards with structured reuse workflows, teams can store run notes in a documentation system. This typically requires more custom search/retrieval logic for agent use.
• Vector search over code/run transcripts: Retrieval systems can surface similar historical answers by embedding text. Compared to solution cards, this may be less structured for reliably capturing step-by-step workflows.
• Agent workflow managers with built-in replay: Tools that track runs and enable replay can reduce repeated work, but may not provide the same card-based structure and explicit publish/sanitize workflow described for AskAIBase.
• General MCP/LLM tool registries without a dedicated memory layer: An agent tool catalog can help tools connect, but a dedicated memory layer like AskAIBase focuses specifically on storing and reusing solution artifacts.