by caudena · Agent Tool · ★ 37
BeamWeaver Elixir-native LangChain, LangGraph, and Deep Agents for traceable LLM apps: OTP workflows, tools, memory, human-in-the-loop, streaming, custom clients/adapters, minimal deps, and WeaveScope tracing. BeamWeaver brings the practical parts of LangChain, LangGraph, and Deep Agents to the BEAM without a Python runtime, hosted control plane, or framework lock-in.
| Stars | 37 |
| Forks | 0 |
| Language | Elixir |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 67.3465979242128/100 |
| Last Updated | 2026-07-03 |
| Created | 2026-06-12 |
| Platforms | cli |
| Est. Tokens | ~18k |
These tools work well together with beam_weaver for enhanced workflows:
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beam_weaver is Elixir-native LangChain, LangGraph, and DeepAgents for traceable LLM apps: OTP workflows, tools, memory, human-in-the-loop, streaming, custom clients/adapters, minimal deps, and WeaveScope tracing.. It is categorized as a Agent Tool with 37 GitHub stars.
beam_weaver is primarily written in Elixir. It covers topics such as ai-agents, deepagents, elixir.
You can find installation instructions and usage details in the beam_weaver GitHub repository at github.com/caudena/beam_weaver. The project has 37 stars and 0 forks, indicating an active community.
beam_weaver is released under the Apache-2.0 license, making it free to use and modify according to the license terms.