Medhovarsh
User🧠 Local-first LLM state branching & debugging. Capture, visualize, branch, and regression-test LLM calls as a DAG. Free & local via Ollama, any OpenAI-compatible API, MCP for agents. Zero config.
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Indexed Skills (2)
forkmind-archivist
Use when conversation context should be saved and then removed from the live model window — context is getting full, a sub-topic is finished, a large file dump or tool transcript is done being useful, or the user says "offload my context", "save this conversation and clear it", "archive this as a DAG", "restore that capsule", or "forget that capsule". ForkMind stores the context as an immutable, AES-256-GCM-encrypted DAG capsule on disk (local-first, no cloud) and hands back a tiny digest handle; content is restorable in full or per segment, and deletable by crypto-shredding.
forkmind
Use when debugging, comparing, or regression-testing LLM / agent calls — when the user wants to capture LLM traffic, see a conversation as a branchable DAG, fork an alternative prompt or model from a past turn, or pin good outputs as baselines to catch drift. ForkMind is local-first (no cloud, no account) and proxies any OpenAI-compatible API, defaulting to free Ollama models. Trigger: "debug this prompt", "compare two models", "branch from that turn", "why did the LLM change its answer", "regression test my prompt", "capture LLM calls", "forkmind".
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