Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and long-term memory.
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Permanent memory for AI agents. A 426-token prompt, a script, plug and play.
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TranslatedMulti-scenario AI workbench: six-layer master outline + topology wiring diagram + public-version workbench templates (four scenarios can run, source code can be copied and used as is) + memory mechanism. Companion marketplace: https://www.mydsh.xyz . Author: https://linyujia.me . Note: it does not work as soon as it is installed; the scenarios need to be tuned to your own content.
Agentic memory for CTI in Python — STIX knowledge graphs, threat-actor alias resolution, offline-first RAG, MCP server for Claude Code and LangChain agents
Per-repo memory, outcome telemetry, and a calibrated-confidence gate for Claude Code, with MCP and AGENTS.md projections so other AI coding tools can read its context. Notes survive sessions; success claims need test evidence; your reverts are remembered. Local-only, stdlib runtime.