Upsonic
AI Agents & AssistantsA Python framework for building autonomous AI agents
Features
- Build autonomous AI agents with simple Python APIs
- Support for prebuilt community agents and custom tool integration
- Unified OCR interface with multiple engine back‑ends
Recent releases
View all 31 releases →
0.76.2
New feature
Notable features
- AppliedScientist accepts any research_source — local file, URL, git/Kaggle/arXiv/Hugging Face link, or plain text idea
- scientist.new_experiment() auto-derives inputs from research_source, current_notebook, or current_data by detecting local paths
- experiments_directory is now optional with default value ./experiments
Full changelog
Improvements:
- AppliedScientist now accepts any research_source — local file, URL, git / Kaggle / arXiv / Hugging Face link, or a plain-text idea. No hardcoded scheme detection on the Python side; the agent skill handles fetching with whichever tool fits (cp / git clone / curl / kaggle CLI / huggingface-cli / …). For text ideas, the description is saved verbatim and Phase 2 turns it into a concrete method plan.
scientist.new_experiment(...)auto-derivesinputsfromresearch_source/current_notebook/current_data— any value that points at an existing local path is copied into the workspace.experiments_directoryis now optional and defaults to./experiments.
Full Changelog: https://github.com/Upsonic/Upsonic/compare/v0.76.1...v0.76.2
Pull Requests:
-
feat: AppliedScientist accepts any research_source + auto inputs: onuratakan in #571
-
chore: New Version 0.76.2: onuratakan in #572
v0.76.1
Breaking risk
Breaking changes
- AppliedScientist: research_paper parameter renamed to research_source
Notable features
- research_source parameter accepts PDF, Markdown, HTML, .ipynb, text files, web URLs, git repositories, and Kaggle pages
- Docs repository added as git submodule
Full changelog
Improvements:
- AppliedScientist
research_paper→research_source: The prebuilt Applied Scientist agent now accepts any reference describing a new method — local file (PDF, Markdown, HTML,.ipynb, text), web URL (blog post, arXiv, documentation), git repository URL, or Kaggle notebook / dataset page — not just a PDF. The agent detects the source kind at Phase 0 and materializes it into the experiment folder before reading it in Phase 2. - Upsonic/Docs submodule: Added the public docs repository as a git submodule at
Docs/so the docs site can be kept in lockstep with code changes.
Full Changelog: https://github.com/Upsonic/Upsonic/compare/v0.76.0...v0.76.1
Pull Requests:
-
feat: rename AppliedScientist research_paper to research_source: onuratakan in #570
-
chore: New Version 0.76.1: onuratakan in #571
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About
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Forks
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Languages
Python
Jupyter Notebook
Makefile
Install & Platforms
Install via
pip
