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IvenKooLab
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IvenKooLab/loci

A queryable second brain over your scattered notes and docs - hybrid retrieval (vector + BM25), section-level citations, and an MCP server so AI agents can use it. ~300 lines, no LangChain.

Python ◇ ai-agents MIT
★98STARS
⑂0FORKS
!0ISSUES
🏆#6,774GLOBAL RANK
🔥5DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for IvenKooLab/loci
CSV

Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#818

MOST-STARRED Python

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

loci gained 10 stars in the last 30 days, about 1 a day, and now has 98. It is about 1 year old and has averaged roughly 98 stars a year. It ranks #818 among Python repositories and #6,774 across all languages on GitHubRepo.

Trending Record

loci has maintained a continuous presence across global trending indexes, peaking at #2527. Below is the 30-day activity profile:

💡 Overview

loci is an open-source project written in Python: A queryable second brain over your scattered notes and docs - hybrid retrieval (vector + BM25), section-level citations, and an MCP server so AI agents can use it. ~300 lines, no LangChain.

Engineered for speed, consistency, and developer ease, it solves common hurdles in ai-agents, bm25, chromadb. 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 loci

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

loci 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 loci.

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 loci using your package manager: `pip install loci`

2

Initialize your project workspace or configuration file for loci.

3

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

4

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

👍 Strengths

Active community backing with 98 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT 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.

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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

IvenKooLab/loci is currently ranked #6,774 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#6,766 nssmd/RoboRSI Python ★ 99 Compare ↗
#6,766 ZJunCher/mr-agent Python ★ 99 Compare ↗
#6,766 hsj576/virtual-ai-infra-team Python ★ 99 Compare ↗
#6,766 HongyeYangGT/DepthBenchCAD Python ★ 99 Compare ↗
#6,766 techflag/workdsh TypeScript ★ 99 Compare ↗
#6,774 IvenKooLab/loci This Project Python ★ 98
#6,774 paulcarey/relaxdb Ruby ★ 98 Compare ↗
#6,774 jeremyevans/sequel_postgresql_triggers Ruby ★ 98 Compare ↗
#6,774 eldarshiraliyev/BugScanner Python ★ 98 Compare ↗
#6,774 Mobaia/PhySpec Python ★ 98 Compare ↗
#6,774 docker/sandbox-kit-spec Go ★ 98 Compare ↗

Frequently Asked Questions

What does loci do? +

A queryable second brain over your scattered notes and docs - hybrid retrieval (vector + BM25), section-level citations, and an MCP server so AI agents can use it. ~300 lines, no LangChain.

What language is loci written in? +

The primary language is Python. Topics include: ai-agents, bm25, chromadb, cross-ide, embeddings.

Is loci actively maintained? +

Yes, the last recorded push was on Sep 26, 2026 with 0 open issues being tracked.

How many stars does loci have? +

loci has 98 stars and 0 forks on GitHub.

How does loci rank among GitHub repositories? +

With 98 stars, IvenKooLab/loci is ranked #6,774 globally across all repositories tracked on GitHubRepo and #818 among Python projects.

What license is loci distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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