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BeamWeaver

v0.1.0 Feature

This release adds 6 notable features for engineering teams evaluating rollout.

Published 1mo AI Agents & Assistants
✓ No known CVEs patched
Read the diff → Tool health → What is this tool? →

✓ No known CVEs patched in this version

Topics

ai-agents deepagents elixir harness human-in-the-loop langchain
+4 more
langgraph-alternative llm observability distributed-tracing

Summary

AI summary

Introduces core agentic infrastructure in Elixir for building AI agents and durable LLM workflows.

Full changelog

BeamWeaver v0.1.0

First public release of BeamWeaver: an OTP-native Elixir library for building AI agents and durable LLM workflows.

This release brings core agentic infrastructure to Elixir so teams can build advanced LLM systems without relying on Python microservices for the orchestration layer.

Highlights

  • Agent runtime with tool calling
  • Graph workflows with explicit state, routing, and reducers
  • Checkpoints and resumable execution
  • Short-term memory through checkpoints
  • Long-term memory stores
  • Retries, fallbacks, interrupts, and human review
  • Typed streaming events
  • Structured output support
  • Provider adapters for OpenAI, Anthropic, Google Gemini, xAI, and Moonshot/Kimi
  • Fake and replay models for deterministic tests
  • Native tracing hooks, with WeaveScope observability support coming soon
View diff on GitHub

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Beta — feedback welcome: [email protected]