[PR #3095] [CLOSED] Add arachne — DSPy-native autonomous agent runtime #13695

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GiteaMirror · 2026-04-27T03:10:12-05:00

GiteaMirror commented

2026-04-27 03:10:12 -05:00

📋 Pull Request Information

Original PR: https://github.com/vinta/awesome-python/pull/3095
Author: @Dan-StrategicAutomation
Created: 4/26/2026
Status: ❌ Closed

Base: master ← Head: master

📝 Commits (1)

7d2f05b Add arachne — DSPy-native agent runtime

📊 Changes

1 file changed (+1 additions, -0 deletions)

View changed files

📝 README.md (+1 -0)

📄 Description

Arachne is a DSPy-native autonomous agent runtime that weaves optimized execution DAGs from natural language goals, executes nodes in parallel waves, and autonomously self-heals on failure.

Features:

GraphWeaver generates optimized execution DAGs from natural language
WaveExecutor runs nodes in true parallel waves via asyncio
TriangulatedEvaluator provides Rules, Semantic, and HITL quality gates
AutoHealer autonomously retries, re-routes, or re-weaves on failure
MCP client integration for external tool servers

280+ built-in skills across 20+ categories | 266 tests | MIT licensed

https://github.com/Strategic-Automation/arachne

_{🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.}

## 📋 Pull Request Information **Original PR:** https://github.com/vinta/awesome-python/pull/3095 **Author:** [@Dan-StrategicAutomation](https://github.com/Dan-StrategicAutomation) **Created:** 4/26/2026 **Status:** ❌ Closed **Base:** `master` ← **Head:** `master` --- ### 📝 Commits (1) - [`7d2f05b`](https://github.com/vinta/awesome-python/commit/7d2f05bcece4f1634d7ff120c555b3538da3db4c) Add arachne — DSPy-native agent runtime ### 📊 Changes **1 file changed** (+1 additions, -0 deletions) <details> <summary>View changed files</summary> 📝 `README.md` (+1 -0) </details> ### 📄 Description Arachne is a DSPy-native autonomous agent runtime that weaves optimized execution DAGs from natural language goals, executes nodes in parallel waves, and autonomously self-heals on failure. Features: - GraphWeaver generates optimized execution DAGs from natural language - WaveExecutor runs nodes in true parallel waves via asyncio - TriangulatedEvaluator provides Rules, Semantic, and HITL quality gates - AutoHealer autonomously retries, re-routes, or re-weaves on failure - MCP client integration for external tool servers 280+ built-in skills across 20+ categories | 266 tests | MIT licensed https://github.com/Strategic-Automation/arachne --- <sub>🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.</sub>

GiteaMirror added the pull-request label 2026-04-27 03:10:12 -05:00

GiteaMirror closed this issue

2026-04-27 03:10:14 -05:00

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Reference: github-starred/awesome-python#13695