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Hierarchical agent loops with recursive self-organization.
| Date | Stars |
|---|---|
| 2026-07-31 | 649 |
| 2026-08-06 | 649 |
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# fractal [](https://github.com/plasma-ai/fractal/blob/main/LICENSE) [](https://github.com/plasma-ai/fractal/actions/workflows/build.yaml) [](https://github.com/plasma-ai/fractal/actions/workflows/docs.yaml) [](https://github.com/plasma-ai/fractal/actions/workflows/lint.yaml) [](https://github.com/plasma-ai/fractal/actions/workflows/tests.yaml) [](https://codecov.io/gh/plasma-ai/fractal) [](https://github.com/pre-commit/pre-commit) Hierarchical agent loops with recursive self-organization. In a fractal, autonomous agent loops arrange themselves into a tree: a node iterates toward a goal in its own `git worktree` and spawns child nodes for separable subtasks, so the tree grows to fit the problem rather than a fixed plan. Hard caps (iterations, depth, children, cost, time) keep each loop bounded, and an operator can steer or stop it at any point. Run metadata (including cost) lands in one local `SQLite` database, which can be interacted with live in a terminal UI.  > [!WARNING] > **Nodes run their agent without permission prompts by default.** Unattended > loops cannot stop to ask, so every seeded agent config disables the approval > gate — Claude `bypassPermissions`, Codex `danger-full-access`, Grok > `--always-approve`, opencode `--auto`, omp `--yolo`. A node can therefore run > any command its agent decides to run, with your credentials and your machine's > reach. The per-node `git worktree` isolates the *branch* it commits to, not > the filesystem, the network, or anything else outside it. Only launch nodes > whose task you would trust to run unsupervised, and prefer a sandboxed or > otherwise disposable host for anything else. ______________________________________________________________________ **Source**: [https://github.com/plasma-ai/fractal](https://github.com/plasma-ai/fractal) **Package**: [https://pypi.org/project/plasma-fractal/](https://pypi.org/project/plasma-fractal/) **Documentation**: [https://docs.plasma.ai/fractal](https://docs.plasma.ai/fractal) ______________________________________________________________________ ## Installation Install the `fractal` package from PyPI: ```bash pip install plasma-fractal ``` or ```bash pip install fractal ``` Use `pipx install` or `uv tool install` to install the package in an isolated environment. If you use one of these two methods, you must also install `plasma-wiki` (a plain `pip` install pulls `plasma-wiki` and puts `wiki` on your `PATH`, but this is not the case when using `pipx install` or `uv tool install`). `uv tool install plasma-fractal --with-executables-from plasma-wiki` does the same in one command. Open the dashboard from your project root with `fractal open` (requires an initialized fractal). Pass `--light` if your terminal uses a light color scheme. ### Skill Install the skill for your agent via the plugin marketplace (Claude Code and Codex): ```bash # Claude Code /plugin marketplace add plasma-ai/plugins /plugin install fractal@plasma # Codex codex plugin marketplace add plasma-ai/plugins codex plugin add fractal@plasma ``` Another install route is from the CLI, which copies (or symlinks) the fractal and wiki skills into `~/.claude/skills` and `~/.agents/skills` (add `--project` for the current project only): ```bash fractal install [
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matched fp:df10d8e33ad90065, llm:Description: 'Hierarchical agent loops with recursive self-organization.' Language: Python. No topics or README provided.
matched fp:df10d8e33ad90065, llm:Description: 'Hierarchical agent loops with recursive self-organization.' Language: Python. No topics or README provided.