aip-agents-binary
A library for managing agents in Gen AI applications.
Decision gist · record as of 2026-08-14
Yes, with conditions. The package is actively maintained, has low install friction, and fills a clear role in the GL AIP ecosystem for local agent development. However, it depends on an internal registry that may not be accessible without special setup, and its license is undeclared. Verify registry access and license terms before production use.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.11–3.12.
- Package is published to an internal registry; ensure your pip/Poetry config includes the registry URL or install via glaip-sdk instead.
- Low install friction with a pure-Python wheel.
License · maintenance · safety
(unclear) — License status is unclear—no SPDX identifier or raw license text is recorded. Verify the actual license terms before committing to production use.
last release 2026-08-11 (3 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 84,566 downloads/mo, #13,987 on PyPI
Alternatives
Verify before relying
pip install aip-agents-binary
from aip_agents.agent.langgraph_react_agent import LangGraphReactAgent
agent = LangGraphReactAgent(
name="example-agent",
instruction="Help with tasks.",
)
- Whether the internal registry is accessible without special credentials or VPN setup.
- Whether all 29 runtime dependencies are available in the same registry.
- Actual license terms and any commercial or internal-use restrictions.
- Whether optional extras (google, google-adk, memory, privacy, skills) are documented and stable.
What it is and what it does
aip-agents-binary is the core local execution library for GL AIP, an ecosystem for building AI agents with LLM backends. It provides a LangGraph-based agent runtime with tool calling, guardrails, human-in-the-loop support, skill loading from GitHub, and A2UI payload emission for structured UI rendering. The library is designed to be used directly for local execution or wrapped by other packages in the ecosystem for seamless local/remote mode switching.
The package integrates deeply with dependencies including langchain, langchain-openai, langgraph, langchain-experimental, and internal GL libraries (gllm-core-binary, gllm-inference-binary, gllm-tools-binary, gllm-datastore-binary, gl-observability-binary, gl-connectors-sdk). It exposes a public integration facade for cross-package consumers, while marking many internal modules as non-contract surfaces subject to change. Skills can be installed from GitHub sources and staged into a configured backend; multiple skill sources are attempted before failing, with a summary error if any fail.
Use it for
- Build a local AI agent that calls tools and LLMs without deploying to a remote server.
- Integrate guardrails and human-in-the-loop workflows into agent decision-making for safety-critical tasks.
- Load and stage reusable skills from GitHub repositories into a configured backend.
- Emit A2UI payloads to render structured UI elements in agent responses.
- Develop and test agents locally before pushing to a remote platform for production.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, with conditions.
The package is actively maintained, has low install friction, and fills a clear role in the GL AIP ecosystem for local agent development. However, it depends on an internal registry that may not be accessible without special setup, and its license is undeclared. Verify registry access and license terms before production use.
Install
aip-agents-binary on PyPI
Before you install
Low install friction with a pure-Python wheel. Active maintenance (released 3 days ago). Requires Python 3.11–3.12 and pulls 29 runtime dependencies including langchain, langgraph, fastapi, and several internal GL binary packages, which may add setup complexity depending on registry access.
Requires Python 3.11–3.12. Package is published to an internal registry; ensure your pip/Poetry config includes the registry URL or install via glaip-sdk instead.
License in practice
License status is unclear—no SPDX identifier or raw license text is recorded. Verify the actual license terms before committing to production use.
Quickstart
pip install aip-agents-binary
from aip_agents.agent.langgraph_react_agent import LangGraphReactAgent
agent = LangGraphReactAgent(
name="example-agent",
instruction="Help with tasks.",
)
Verify before relying
- Whether the internal registry is accessible without special credentials or VPN setup.
- Whether all 29 runtime dependencies are available in the same registry.
- Actual license terms and any commercial or internal-use restrictions.
- Whether optional extras (google, google-adk, memory, privacy, skills) are documented and stable.
Package facts
| License | Not declared unclear |
| Python support | Capped below the current Python release <3.13,>=3.11 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 29 packagesa2a-sdkdeepagentsaiostreamauthlibgl-connectors-sdkgl-observability-binarycoloramadeprecatedfastapigllm-core-binarygllm-datastore-binarygllm-inference-binarygllm-tools-binarylangchainlangchain-openailangchain-mcp-adaptersmcplangchain-experimentallanggraphlanggraph-checkpointminiopydanticpython-dateutilpython-dotenvpybreakerrequeststenacityuvicornwatchdog |
| Maintenance | Actively maintained 3 days since the last release |
| First released | |
| Downloads | 84,566 / month, #13,987 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Programming Language :: Python :: 3Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12 |
Evidence: aip_agents_binary-0.6.140-py3-none-any.whl
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “agent tool calling guardrails”
- aip-agents-binaryA local execution agent library for building and running AI agents…
- agent-lifecycle-toolkitAgent Lifecycle Toolkit provides modular components that integrate…
- pydantic-ai-shieldsPydantic AI Shields provides guardrail capabilities for Pydantic AI…
Give your agent the search over MCP, or paste the wish link into any chat.
More Artificial Intelligence packages
LiteLLM provides a unified Python interface to call 100+ LLM providers (OpenAI, Anthropic, Gemini, Bedrock, Azure, and others) using OpenAI-compatible API format, available as both a Python SDK and a self-hosted AI Gateway proxy server.
Install it if you need to work with multiple LLM providers or want to centralize LLM routing in your organization.
Client library and CLI tool for downloading, uploading, and managing models, datasets, and repositories on the Hugging Face Hub platform.
Install it if you work with Hugging Face Hub models or datasets.
LangChain provides a framework for building agents and LLM-powered applications by composing language models, tools, and memory through a unified API that abstracts over multiple model providers.
hf-xet provides chunk-based deduplication and efficient file transfer for the Hugging Face Hub, enabling faster uploads and downloads of large files with local disk caching.
Tokenizers converts raw text into token sequences for NLP models, with support for training custom vocabularies and using pre-built tokenizers (BPE, WordPiece) optimized for speed via Rust.
Transformers provides a unified framework for loading, fine-tuning, and running state-of-the-art pretrained models across text, vision, audio, video, and multimodal tasks using PyTorch, JAX, or TensorFlow.
Install it if you need to run or train any transformer-based model for NLP, vision, audio, or multimodal tasks.
See also gllm-inference-binary · google-adk · leptonai · a2ui-agent-sdk · apm-cli · fast-agent-mcp · deepagents · google-agents-cli · ag-ui-a2ui-toolkit · openai-agents