Fossilv0.1.0

An AI agent frequently misparses JSON fields from invoice PDFs. By using fossil_search before extraction, it retrieves past failure records and applies resolutions, reducing errors.

When sending replies, the agent may reply to wrong threads. fossil_search checks past misinterpretation failures, prompting the agent to match by sender address, improving accuracy.

Web scraping agents often click wrong elements. Recording failures with fossil_record helps identify tool_misuse patterns, leading to refined selectors and stable automation.

Automated scheduling systems may get stuck in tool-call cycles. fossil_search surfaces infinite_loop records, enabling step decomposition and loop detection.

Deployment agents sometimes terminate prematurely. By consulting fossil memory of premature_termination failures, they add verification steps to confirm all stages complete.

Offer basic failure memory hosted on the free community API. Paid tiers provide private, encrypted storage, higher query limits, and cross-session analytics for enterprise teams.

Sell a self-hosted version of the FOSSIL API and MCP server for organizations with strict data residency requirements, including dedicated support and custom integrations.

Combine FOSSIL memory with consulting to audit agent failure patterns, optimize prompts, and reduce error rates. Charge per engagement or as a retainer for ongoing monitoring.