Factual package intelligence from PyPI

graphloom 0.1.7 package intelligence

A minimal generic agent-loop framework on top of LangGraph: build_agent_graph assembles a standard ReAct loop (ai / tool / history / compaction / finish) with dependency-injected llm, checkpointer, tools, and runtime_context.

pip install graphloom

Current version
0.1.7
Python requirement
>=3.10
License
Apache-2.0
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
131.6 KiB
Release history
6 releases with files
Median release cadence
1 days

graphloom dependencies

PyPI declares 10 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. langchain-core >=0.3
  2. langgraph >=0.2
  3. langchain-litellm <0.8,>=0.7
  4. litellm <1.92,>=1.83.14
  5. pydantic >=2
  6. tenacity >=8
  7. tiktoken >=0.7

Compatibility and release files

graphloom publishes 1 wheel and 1 source archive for version 0.1.7. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12.

Security snapshot for graphloom 0.1.7

An OSV query completed on and found 0 known vulnerabilities affecting this version. 0 advisories are classified as critical. 0 advisories appear in the CISA Known Exploited Vulnerabilities catalog.

Metadata completeness

PyPI does not currently declare: project URL. PyDeps marks these fields as unknown instead of guessing values.

Release activity and sources

PyPI lists 6 releases with files. The first dated release is ; 6 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .

The project does not publish external project URLs in its PyPI metadata.