Knowhere extracts, parses, and outputs structured chunks ready for AI Agents and RAG.
⚡ Executive Summary & Quick Facts
Authoritative Sourceknowhere 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.
“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+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.
Star History
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Momentum
+95
STARS · LAST 30 DAYS
3
PER DAY
#469
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +21 | +95 | +270 |
| Per day | 3 | 3 | 3 |
| 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
4
DAYS ON TRENDING
#6977
BEST RANK
Oct 26, 2026
FIRST APPEARANCE
Active
STATUS TODAY
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
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ 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
Install knowhere using your package manager: `pip install knowhere`
Initialize your project workspace or configuration file for knowhere.
Import knowhere into your codebase or invoke it directly from your terminal.
Execute your test suite or run `knowhere --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 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:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #3,130 | sw33tLie/macshot | Swift | ★ 3.8K | Compare ↗ |
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| #3,137 | momo5502/sogen | C++ | ★ 3.8K | Compare ↗ |
| #3,138 | Ontos-AI/knowhere This Project | Python | ★ 3.8K | |
| #3,138 | microsoft/mcp | C# | ★ 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.