SaaS Metrics
Hi HN,We build agents in Elixir. We kept running into the same issue and found there is no observability for agentic systems.We decided to take the best aspects of LangChain, LangGraph, and DeepAgents and put them into Elixir.BeamWeaver comes with an OTP-native design and:
- agents and tool calling
- graph workflows
- checkpoints and resumable execution
- memory stores
- retries, fallbacks, interrupts, and human review
- typed streaming events
- provider adapters for OpenAI, Anthropic, Google Gemini, xAI, and Moonshot/Kimi
- fake/replay models for deterministic testsWe're also building observability on top of it through WeaveScope, which we'll release very soon.BeamWeaver gives Elixir teams the tools needed to build advanced agentic systems without pushing the hard parts into Python services.
Show HN: BeamWeaver – LangChain/DeepAgents-style agents and workflows for Elixir
Provides Elixir teams with tools to build advanced agentic systems, avoiding Python service dependencies, and addressing the lack of observability in agentic systems.
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AI Executive Synthesis
Provides Elixir teams with tools to build advanced agentic systems, avoiding Python service dependencies, and addressing the lack of observability in agentic systems.
This product directly addresses the fragmentation of AI agent development across programming languages. By porting "LangChain/DeepAgents-style agents and workflows" to Elixir with an "OTP-native design," it caters to a specific developer ecosystem seeking to leverage Elixir's concurrency and fault tolerance for AI applications. The explicit mention of "no observability for agentic systems" highlights a critical pain point in debugging and monitoring complex AI workflows. Features like "checkpoints and resumable execution," "retries, fallbacks, interrupts, and human review," and "provider adapters" for major LLMs demonstrate a comprehensive approach to building robust, production-grade agentic systems, reducing reliance on Python-centric solutions.
Related Ecosystem & Alternatives
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Deep-Dive FAQs
What is BeamWeaver – LangChain/DeepAgents-style agents and workflows for Elixir?
BeamWeaver – LangChain/DeepAgents-style agents and workflows for Elixir is analyzed by our AI as: Provides Elixir teams with tools to build advanced agentic systems, avoiding Python service dependencies, and addressing the lack of observability in agentic systems.. It focuses on This product directly addresses the fragmentation of AI agent development across programming languages. By porting "LangChain/DeepAgents-style agen...
Where did BeamWeaver – LangChain/DeepAgents-style agents and workflows for Elixir originate?
Data for BeamWeaver – LangChain/DeepAgents-style agents and workflows for Elixir was aggregated directly from the Hacker News community ecosystem, representing raw developer and early-adopter sentiment.
When was BeamWeaver – LangChain/DeepAgents-style agents and workflows for Elixir publicly launched?
The initial public indexing or launch date for BeamWeaver – LangChain/DeepAgents-style agents and workflows for Elixir within our tracked developer communities was recorded on June 19, 2026.
How popular is BeamWeaver – LangChain/DeepAgents-style agents and workflows for Elixir?
BeamWeaver – LangChain/DeepAgents-style agents and workflows for Elixir has achieved measurable traction, logging over 2 traction score and facilitating 0 recorded discussions or engagements.
Which technical categories define BeamWeaver – LangChain/DeepAgents-style agents and workflows for Elixir?
Based on metadata extraction, BeamWeaver – LangChain/DeepAgents-style agents and workflows for Elixir is categorized under topics such as: LangChain/DeepAgents-style agents, workflows for Elixir, observability for agentic systems, OTP-native design.
How does the creator describe BeamWeaver – LangChain/DeepAgents-style agents and workflows for Elixir?
The original author or development team describes the product as follows: "Hi HN,We build agents in Elixir. We kept running into the same issue and found there is no observability for agentic systems.We decided to take the best aspects of LangChain, LangGraph, and DeepAge..."
Community Voice & Feedback
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Discovery Source
Hacker News Aggregated via automated community intelligence tracking.
Tech Stack Dependencies
No direct open-source NPM package mentions detected in the product documentation.
Media Tractions & Mentions
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Deep Research & Science
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