llive
Copyright 2026 Kazufumi Furuse

This product includes software developed by Kazufumi Furuse
(https://github.com/furuse-kazufumi).

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
implied. See the License for the specific language governing permissions
and limitations under the License.

Commercial licenses are also available; see LICENSE-COMMERCIAL.

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Trademarks
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"FullSense" (umbrella brand and spec name), "llmesh", "llive", and "llove"
are trademarks of Kazufumi Furuse. See TRADEMARK.md for the brand hierarchy
and trademark usage guidelines.

llive is part of the FullSense family of products:

    FullSense (umbrella) — brand + technical specification
      ├─ llmesh — secure LLM hub / on-prem MCP server
      ├─ llive  — self-evolving modular memory LLM framework (this project)
      └─ llove  — TUI dashboard / HITL workbench

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Third-party software
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llive depends on several third-party Python packages. Each is governed by
its own license, which can be reviewed via:

    pip-licenses --format=markdown

Major direct dependencies and their primary licenses (as of 2026-05-16):

  * jsonschema       — MIT
  * pydantic         — MIT
  * pyyaml           — MIT
  * numpy            — BSD-3-Clause
  * duckdb           — MIT
  * structlog        — Apache-2.0 / MIT (dual)
  * typer            — MIT
  * kuzu             — MIT
  * apscheduler      — MIT
  * safetensors      — Apache-2.0
  * cryptography     — Apache-2.0 / BSD (dual)

Optional dependencies for the `[torch]`, `[mcp]`, `[vlm]`, and `[coding]`
extras have their own licenses; review them with `pip-licenses` after
installing the relevant extras.

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Datasets and corpora
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llive ships **no** dataset or corpus in this repository. The
`scripts/import_rad.py` utility allows local users to copy the Raptor RAD
corpus (sibling project) into `data/rad/`. Each corpus directory contains
content licensed under its own terms — most are CC0, CC-BY, MIT, or
public-domain. **Users are responsible for verifying the license of each
individual corpus** before redistribution. The data files in `data/rad/`
are excluded from the PyPI distribution and the Git repository.

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Attribution
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Portions of the design, naming, and architecture were developed in
collaboration with Claude (Anthropic's language model) under user
direction. Code authorship and copyright remain with the human author.
