fractal
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.
Source: https://github.com/plasma-ai/fractal
Package: https://pypi.org/project/plasma-fractal/
Documentation: https://docs.plasma.ai/fractal
This package is a pointer to
plasma-fractal and contains no
code. Each release pins the matching plasma-fractal release exactly, so the
two names are interchangeable:
pip install fractal
installs plasma-fractal. Versions of fractal before 1.0.0 were an unrelated
package from a previous owner of the name; the pointer begins at 1.0.0.
License
Licensed under the Apache License 2.0 — see LICENSE.
Copyright © 2026 Plasma AI
1 maintainer
Release files for fractal 1.3.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| fractal-1.3.0.tar.gz | 7.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| fractal-1.3.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 13.6 kB
Release files / fractal-1.3.0.tar.gz
| Download URL | fractal-1.3.0.tar.gz |
|---|---|
| Size | 7.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
636c5814063a22b707c66139011e5455f27b57845b568450c635e8aa9f296141
|
|
BLAKE2b-256 checksum How to use checksums |
71f00d8dfe14057d618e56fac0fbec46c0299ac2bb540038ae680ac649bcbf89
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Sep 17, 2026.
Transparency logRelease files / fractal-1.3.0-py3-none-any.whl
| Download URL | fractal-1.3.0-py3-none-any.whl |
|---|---|
| Size | 6.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
a471de87d504085ceb2f1f4d9afedd5ed551b73fb29e91059853aed7b3f3a16c
|
|
BLAKE2b-256 checksum How to use checksums |
2e42001105cfab78fd5a0d38002f50e9fd22ad59ea9d59771839be09d60cf097
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Sep 17, 2026.
Transparency log
