Memorable
Procedural, graph-based memory for AI agents
Memorable is a procedural memory system for AI agents that records the tool calls made during a successful task and returns that procedure when a similar task arrives. It stores procedures as steps with preconditions, postconditions, and outcomes, organized in a graph so shared steps and prefixes can be composed into new workflows.
The system works in layers: Traces capture the raw record of a session, Workflow Synthesis turns a successful run into a reusable workflow, Graph Assembly connects workflows, and Retrieval finds and guides the agent through the relevant procedure. It offers exact, lexical, and semantic matching for recall, chained plans for multi-step tasks, and a dashboard for inspecting stored procedures. Memorable integrates with Claude Code, Codex, Cursor, OpenCode, gbrain, and QM, with any other harness sending a JSON trace to an extraction endpoint. Data can be stored locally, in a gbrain database, or in Postgres, with consent controls and scrubbed identifiers.
Memorable is aimed at anyone running agents that repeat the same work, including coding, browser, computer use, voice, and multiagent orchestration scenarios. It is installed via a CLI, set up with commands for login and hooks, and records workflows in the background. The pages do not specify pricing, plans, or trial details.
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