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future-agi/traceAI

Open Source AI Tracing Framework built on Opentelemetry for AI Applications and Frameworks

Python ◇ ai Apache-2.0
★266STARS
⑂56FORKS
!151ISSUES
🏆#16,892GLOBAL RANK
🔥4DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

traceAI is traceAI is an open-source project written in Python: Open Source AI Tracing Framework built on Opentelemetry for AI Applications and Frameworks.. It provides a free, self-hosted open-source alternative to OpenAI API & ChatGPT.

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), future-agi/traceAI has accumulated 266 GitHub stars and 56 forks. It is written in Python, licensed under Apache-2.0, and ranks #16,892 globally. It is actively maintained with the latest commit recorded on Nov 9, 2026.”
Repository future-agi/traceAI ↗
Primary Category ai
Language & Stack Python
Software License Apache-2.0
Community Traction ★ 266 stars · ⑂ 56 forks · #16,892 globally
Maintenance ● Active (Last commit: Nov 9, 2026) · 151 open issues
Replaces SaaS Open Source OpenAI API & ChatGPT Alternative (Pay-per-token pricing with zero private data guarantees) →
Target Audience Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

Health Score: 93/100 · Grade A+
✅
Is traceAI actively maintained in 2026?
Verdict: Actively Maintained & Highly Recommended

Yes, traceAI is actively maintained. Continuous telemetry recorded the last code commit on Nov 9, 2026 (4 days ago). Supported by 266 stars and 56 community forks, this repository holds a calculated health index of 93/100, reflecting very active (commits within last 14 days) and healthy issue cadence.

Commit Recency
Nov 9, 2026
4 days since last push
Issue Backlog
151 Open Issues
Healthy Issue Cadence
Community Backing
56 Forks
266 Stars Recorded
Software License
Apache-2.0
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for future-agi/traceAI
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#2,235

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+7+10+90
Per day111
Forks gained+1+3+10

traceAI gained 10 stars in the last 30 days, about 1 a day, and now has 266. It is about 2 years old and has averaged roughly 133 stars a year. It ranks #2,235 among Python repositories and #16,892 across all languages on GitHubRepo.

Trending Record

traceAI has maintained a continuous presence across global trending indexes, peaking at #17160. Below is the 30-day activity profile:

💡 Overview

traceAI is an open-source project written in Python: Open Source AI Tracing Framework built on Opentelemetry for AI Applications and Frameworks.

Engineered for speed, consistency, and developer ease, it solves common hurdles in ai, ai-agents, langchain. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Python for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ pip install traceAI

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

traceAI coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with traceAI.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

🚀 Getting Started

1

Install traceAI using your package manager: `pip install traceAI`

2

Initialize your project workspace or configuration file for traceAI.

3

Import traceAI into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `traceAI --help` to verify successful setup.

👍 Strengths

Active community backing with 266 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 license.
Built in Python for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Python and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

💡
Open Source Alternative to OpenAI API & ChatGPT Replaces proprietary subscriptions (Pay-per-token pricing with zero private data guarantees) with self-hosted freedom.
Explore all OpenAI API & ChatGPT alternatives →
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👥 Who Should Use This

Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

future-agi/traceAI is currently ranked #16,892 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#16,863 grapeot/opencode_ios_client Swift ★ 267 Compare ↗
#16,863 alpha-omega-security/scrutineer Go ★ 267 Compare ↗
#16,863 bluelearn-org/bluelearn TypeScript ★ 267 Compare ↗
#16,863 Endless1936/cut-motion JavaScript ★ 267 Compare ↗
#16,863 oomol-lab/open-flow TypeScript ★ 267 Compare ↗
#16,892 future-agi/traceAI This Project Python ★ 266
#16,892 pauldowman/ec2onrails Ruby ★ 266 Compare ↗
#16,892 FasterXML/java-classmate Java ★ 266 Compare ↗
#16,892 jbosstm/narayana Java ★ 266 Compare ↗
#16,892 FasterXML/jackson-jr Java ★ 266 Compare ↗
#16,892 rogerlinndesign/linnstrument-firmware C++ ★ 266 Compare ↗
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Frequently Asked Questions

What does traceAI do? +

Open Source AI Tracing Framework built on Opentelemetry for AI Applications and Frameworks

Is traceAI actively maintained in 2026? +

Yes, traceAI is actively maintained. The latest code push was recorded on Nov 9, 2026 (4 days ago). It holds a calculated Maintenance Health Score of 93/100 (A+ rating) with 266 stars and 151 open issues.

What language is traceAI written in? +

The primary language is Python. Topics include: ai, ai-agents, langchain, large-language-models, observability.

How many stars does traceAI have? +

traceAI has 266 stars and 56 forks on GitHub.

How does traceAI rank among GitHub repositories? +

With 266 stars, future-agi/traceAI is ranked #16,892 globally across all repositories tracked on GitHubRepo and #2,235 among Python projects.

What license is traceAI distributed under? +

The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.

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