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Jido 2.0, Elixir Agent Framework

Details

External ID
47263036
Source
HN
Company
—
Product
Jido 2.0, Elixir Agent Framework
Website domain
jido.run
Launched
March 5, 2026
Cohort
—
Upvotes
323
Upvotes percentile
0.982779827798278
Tags
—
Fetched at
Sept. 7, 2026, 9:26 p.m.
Updated at
Sept. 7, 2026, 9:26 p.m.

Description

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!

Enrichment

Theme
AI agent frameworks and developer tools
Vertical
Horizontal
Function
Agent / copilot
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
elixir agent framework
Manually corrected
False

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 — 89 launches clear the similarity bar, closest 8 shown.

Attention rank: #2 of 90 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 112 days after the earliest competitor.

Other launches for this product

Same idea, different domain

Nobody's really built a agent / copilot tool for Agriculture yet.