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Ontos-AI/knowhere

Knowhere extracts, parses, and outputs structured chunks ready for AI Agents and RAG.

Python ◇ agent-harness Apache-2.0
★3.8KSTARS
⑂337FORKS
!37ISSUES
🏆#3,138GLOBAL RANK
🔥4DAYS TRENDING
🚀
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⚡ Executive Summary & Quick Facts

Authoritative Source

knowhere is knowhere is an open-source project written in Python: Knowhere extracts, parses, and outputs structured chunks ready for AI Agents and RAG.. It provides a free, self-hosted open-source alternative to Cursor.

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of October 2026), Ontos-AI/knowhere has accumulated 3,789 GitHub stars and 337 forks. It is written in Python, licensed under Apache-2.0, and ranks #3,138 globally. It is actively maintained with the latest commit recorded on Oct 26, 2026.”
Repository Ontos-AI/knowhere ↗
Primary Category agent harness
Language & Stack Python
Software License Apache-2.0
Community Traction ★ 3.8K stars · ⑂ 337 forks · #3,138 globally
Maintenance ● Active (Last commit: Oct 26, 2026) · 37 open issues
Replaces SaaS Open Source Cursor Alternative ($20/month per user) →
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: 97/100 · Grade A+
✅
Is knowhere actively maintained in 2026?
Verdict: Actively Maintained & Highly Recommended

Yes, knowhere is actively maintained. Continuous telemetry recorded the last code commit on Oct 26, 2026 (4 days ago). Supported by 3,789 stars and 337 community forks, this repository holds a calculated health index of 97/100, reflecting very active (commits within last 14 days) and healthy issue cadence.

Commit Recency
Oct 26, 2026
4 days since last push
Issue Backlog
37 Open Issues
Healthy Issue Cadence
Community Backing
337 Forks
3.8K Stars Recorded
Software License
Apache-2.0
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for Ontos-AI/knowhere
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Momentum

+95

STARS · LAST 30 DAYS

3

PER DAY

#469

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+21+95+270
Per day333
Forks gained+2+7+17

knowhere gained 95 stars in the last 30 days, about 3 a day, and now has 3.8K. It is about 1 year old and has averaged roughly 3.8K stars a year. It ranks #469 among Python repositories and #3,138 across all languages on GitHubRepo.

Trending Record

knowhere has maintained a continuous presence across global trending indexes, peaking at #6977. Below is the 30-day activity profile:

💡 Overview

knowhere is an open-source project written in Python: Knowhere extracts, parses, and outputs structured chunks ready for AI Agents and RAG.

Engineered for speed, consistency, and developer ease, it solves common hurdles in agent-harness, ai-agents, claude-code. 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 knowhere

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

knowhere 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 knowhere.

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 knowhere using your package manager: `pip install knowhere`

2

Initialize your project workspace or configuration file for knowhere.

3

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

4

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

👍 Strengths

Active community backing with 3,789 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 Cursor Replaces proprietary subscriptions ($20/month per user) with self-hosted freedom.
Explore all Cursor 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

Ontos-AI/knowhere is currently ranked #3,138 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#3,130 sw33tLie/macshot Swift ★ 3.8K Compare ↗
#3,134 apache/cordova-android JavaScript ★ 3.8K Compare ↗
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#3,138 Ontos-AI/knowhere This Project Python ★ 3.8K
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#3,140 wojtekmaj/react-calendar TypeScript ★ 3.8K Compare ↗
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Frequently Asked Questions

What does knowhere do? +

Knowhere extracts, parses, and outputs structured chunks ready for AI Agents and RAG.

Is knowhere actively maintained in 2026? +

Yes, knowhere is actively maintained. The latest code push was recorded on Oct 26, 2026 (4 days ago). It holds a calculated Maintenance Health Score of 97/100 (A+ rating) with 3,789 stars and 37 open issues.

What language is knowhere written in? +

The primary language is Python. Topics include: agent-harness, ai-agents, claude-code, codex, cursor.

How many stars does knowhere have? +

knowhere has 3,789 stars and 337 forks on GitHub.

How does knowhere rank among GitHub repositories? +

With 3,789 stars, Ontos-AI/knowhere is ranked #3,138 globally across all repositories tracked on GitHubRepo and #469 among Python projects.

What license is knowhere distributed under? +

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

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