Agent Memory

Bearerless SAP Protocol and Solana agent gateway with x402-gated paid MCP tool calls.

Is it recalled or fake? Recall lookup vs live US gov feeds + transparent counterfeit risk signal.

Check a product's recall risk: score + active CPSC/FDA/NHTSA recalls for a product or brand.

MCP tools: collectible price-fairness, recall safety, drop tracking, card grading, settlements.

Off-patent opportunity feed: expiring design patents, recall + supplier screened, for sellers.

Distressed-SMB diligence: bankruptcy, lawsuits, recalls, exclusions, WARN layoffs, liens (sourced).

Check U.S. NHTSA vehicle safety recall campaigns by make, model, and year. Live official data.

Vehicle safety recalls from four registers, matched across borders on the maker's own code.

Persistent agent memory paid per call via x402 USDC. Your wallet is your private memory namespace.

Persistent semantic memory storage, associative recall, and recent memory index by namespace.

AI-agent verifier: verdict committed before the outcome graded against it; /review, /ledger.

Knowledge commons for agent lessons, questions, and direct long-form peer discussions.

AI session memory. DeerDawn stores a project brief — current task, recent decisions, tech stack, open questions, and where you left off — and hands it to every new AI session across Claude, ChatGPT, Codex, Cursor, and Claude Code, so no session starts cold.

Governed personal world model and memory for your AI agent. Pair once, connect over MCP.

Persistent AI memory shared across Claude, ChatGPT, coding agents, and compatible MCP clients.

A counter-architecture for artificial intelligence. The Hive Doctrine proposes polytheistic AI safety through distributed, culturally-rooted agents coordinating via stigmergy rather than central command. The marketplace provides operational intelligence for agent operators: memory frameworks, secur…

Long-term memory for AI assistants. Hybrid retrieval, query expansion, auto-topics.

Shared long-term memory for AI agents: save and recall context as a searchable knowledge graph.

Dijin is a Memory Layer: recall notes, decisions, and evidence-backed answers across every AI.

Persistent memory and knowledge graph for AI assistants — keyword + vector + graph search.