Active memory and executive control for AI coding agents. Classifies user prompts against a curated tripwire store, injects the matched lessons into the agent's working context via a Claude Code UserPromptSubmit hook, before the agent reasons about the task.
llmcortex-agent sits in PulseGate's Autonomous agents & workflows category. It focuses on improving AI coding agents by providing memory and context injection for better task reasoning. llmcortex-agent is an open-source project aimed at AI developers. llmcortex-agent is open source under the MIT license. It ships for the web, the command line, and API, and it can be self-hosted.
Behind llmcortex-agent is jimbokl, and it first shipped in 2026. The project is developed in the open on GitHub with 28 commits in the last 90 days. Key capabilities include active memory, prompt classification, and executive control. It exposes integrations via a public API.
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