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Jido 2.0, Elixir Agent Framework

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Hi HN!I'm the author of an Elixir Agent Framework called Jido. We reached our 2.0 release this week, shipping a production-hardened framework to build, manage and run Agents on the BEAM.Jido now supports a host of Agentic features, including:- Tool Calling and Agent Skills - Comprehensive multi-agent support across distributed BEAM processes with Supervision - Multiple reasoning strategies including ReAct, Chain of Thought, Tree of Thought, and more - Advanced workflow capabilities - Durability through a robust Storage and Persistence layer - Agentic Memory - MCP and Sensors to interface with external services - Deep observability and debugging capabilities, including full stack OTelI know Agent Frameworks can be considered a bit stale, but there hasn't been a major release of a framework on the BEAM. With a growing realization that the architecture of the BEAM is a good match for Agentic workloads, the time was right to make the announcement.My background is enterprise engineering, distributed systems and Open Source. We've got a strong and growing community of builders committed to the Jido ecosystem. We're looking forward to what gets built on top of Jido!Come build agents with us!

HN · launched Mar 5, 2026 · 323 upvotes (top 2%) · 0 views

Niche: ai agent development platforms · 598 launches, 22 in the last 7 days ▼ -29% · Explore this niche →

Category and tags

  • Horizontal
  • Agent / copilot
  • Developer
  • AI-native
  • Hobby / open-source project

Visit website ↗ Source listing ↗

Could you build this?

Partial While basic agent prompt loops are simple, constructing a production-hardened concurrent agent framework on the BEAM requires deep mastery of Elixir OTP paradigms, supervision trees, and fault-tolerant distributed computing.

What it would actually take: The system is built on the BEAM virtual machine using Elixir, leveraging GenServer state machines, DynamicSupervisors, and distributed message passing. The challenging element is designing rock-solid actor abstractions, process lifecycle management, backpressure control, and cross-node communication that cleanly adhere to OTP best practices under production load.

Discussion

20 comments analyzed.

Competitors mentioned: OpenClaw, ChatGPT, Other Erlang agent frameworks

Concerns raised: Unclear what agents do compared to ChatGPT prompts, Most agent use cases are basic (Q&A bots, task organizers, coding), Tool integration and authentication complexity in distributed setups, Lack of clarity on production deployment patterns, Location transparency limitations don't prevent node failures

Feature requests: Human-in-the-loop checkpoints for edge cases, Better distributed context injection and pause/resume with token/URL timing constraints, Concrete examples and getting-started guide for new users

Competitors

Other products that read as similar to this one : 266 launches clear the similarity bar, closest 8 shown.

Attention rank: #8 of 267 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 121 days after the earliest competitor.

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