MCP server giving your AI writing assistant a constant-size memory of a long document. Chapter 1000 costs the same tokens as chapter 10. Local-only: no account, no API key, no network.
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emberspun
Source: github_topic
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LONGFORM_MEMORY_EMBED_KEYYour key, for your endpoint.LONGFORM_MEMORY_EMBED_MODELe.g. text-embedding-3-small.LONGFORM_MEMORY_EMBED_URLOpenAI-compatible /embeddings endpoint. Optional.LONGFORM_MEMORY_HOME~/.longform-memory Where memory is stored.LONGFORM_MEMORY_PROJECT"env": { "": "my-novel" }All four hints declared on every tool
6/6 tools missing one or more hints — remember_chapter (missing: idempotentHint); recall_context (missing: destructiveHint, idempotentHint); list_open_threads (missing: destructiveHint, idempotentHint), +3 more. OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.
For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.
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1 secret/sensitive value flow into network calls (LONGFORM_MEMORY_EMBED_KEY → dynamic)
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