v1.5.0 introduces Fractal Agency and True Parallelism, transforming Lár from a linear workflow engine into a system capable of massive, concurrent, self-organizing complexity.
Major Features
1. Fractal Agency (Recursive Dynamic Nodes)
Agents can now design Sub-Agents at runtime. A DynamicNode can instantiate another DynamicNode (or a whole graph) which executes and returns results up the chain.
Use Case: A "Manager" agent spawns a "Coder" agent and a "Reviewer" agent on the fly to solve a problem it wasn't pre-programmed for.
Implementation:DynamicNode now supports recursive instantiation and execution.
2. True Parallelism (BatchNode)
Lár now supports multithreaded execution. The BatchNode spins up independent threads for each branch of your graph.
Performance: Run 5+ sub-agents simultaneously (e.g., searching web, writing code, checking logs) instead of sequentially.
Safety: Each thread gets a deep-copied State, preventing race conditions. Merging is handled automatically.
Examples
NEW:examples/advanced/fractal_polymath.py
A comprehensive showcase where a Manager orchestrates a "Cipher Specialist" and a "Poet" in parallel to solve a complex task.
Internal Changes
Tests Reorganized: The tests/ directory is now structured into unit, integration, and scenarios for better maintainability.
Core Patch:node.py and dynamic.py updated to support _pending_concurrent_ids and recursive execution loops.
Lár v1.5.0 represents a paradigm shift. Your agents are no longer just chains; they are living organisms that can grow.
1---2name: 432-release-notes-v150-f1542b363description: Lár v1.5.0 Release Notes4---5# Lár v1.5.0 Release Notes6*(Major Feature Release - February 19, 2026)*78**"The Fractal Update"** 910v1.5.0 introduces **Fractal Agency** and **True Parallelism**, transforming Lár from a linear workflow engine into a system capable of massive, concurrent, self-organizing complexity.1112## Major Features1314### 1. Fractal Agency (Recursive Dynamic Nodes)15Agents can now design **Sub-Agents** at runtime. A `DynamicNode` can instantiate another `DynamicNode` (or a whole graph) which executes and returns results up the chain.16- **Use Case:** A "Manager" agent spawns a "Coder" agent and a "Reviewer" agent on the fly to solve a problem it wasn't pre-programmed for.17- **Implementation:** `DynamicNode` now supports recursive instantiation and execution.1819### 2. True Parallelism (`BatchNode`)20Lár now supports **multithreaded execution**. The `BatchNode` spins up independent threads for each branch of your graph.21- **Performance:** Run 5+ sub-agents simultaneously (e.g., searching web, writing code, checking logs) instead of sequentially.22- **Safety:** Each thread gets a deep-copied `State`, preventing race conditions. Merging is handled automatically.2324## Examples25- **NEW:** `examples/advanced/fractal_polymath.py`26 - A comprehensive showcase where a Manager orchestrates a "Cipher Specialist" and a "Poet" in parallel to solve a complex task.2728## Internal Changes29- **Tests Reorganized:** The `tests/` directory is now structured into `unit`, `integration`, and `scenarios` for better maintainability.30- **Core Patch:** `node.py` and `dynamic.py` updated to support `_pending_concurrent_ids` and recursive execution loops.3132---33*Lár v1.5.0 represents a paradigm shift. Your agents are no longer just chains; they are living organisms that can grow.*
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Lár v1.5.0 Release Notes It is listed under Productivity on SkillMD.
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