Markdown knowledge graph — LSP for your editor, CLI + MCP memory for your AI agents
⚡ Executive Summary & Quick Facts
Authoritative Sourceiwe is iwe is an open-source project written in Rust: Markdown knowledge graph — LSP for your editor, CLI + MCP memory for your AI agents..
| Repository | iwe-org/iwe ↗ |
|---|---|
| Primary Category | ai agents |
| Language & Stack | Rust |
| Software License | Apache-2.0 |
| Community Traction | ★ 1.8K stars · ⑂ 102 forks · #4,661 globally |
| Maintenance | ● Active (Last commit: Oct 18, 2026) · 1 open issues |
| Target Audience | Developers and engineering teams building with Rust, seeking reliable, tested, and actively maintained tooling for production workloads. |
Star History
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Momentum
+44
STARS · LAST 30 DAYS
1
PER DAY
#460
MOST-STARRED Rust
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +44 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
iwe gained 44 stars in the last 30 days, about 1 a day, and now has 1.8K. It is about 2 years old and has averaged roughly 890 stars a year. It ranks #460 among Rust repositories and #4,661 across all languages on GitHubRepo.
Trending Record
2
DAYS ON TRENDING
#7036
BEST RANK
Oct 19, 2026
FIRST APPEARANCE
Active
STATUS TODAY
iwe has maintained a continuous presence across global trending indexes, peaking at #7036. Below is the 30-day activity profile:
💡 Overview
iwe is an open-source project written in Rust: Markdown knowledge graph — LSP for your editor, CLI + MCP memory for your AI agents.
Engineered for speed, consistency, and developer ease, it solves common hurdles in ai-agents, ai-memory, cli. 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 Rust 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
$ cargo install iwe
⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Rust toolchain (rustc / cargo >= 1.70)
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
iwe coordinates its core functionality through a modular Rust 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 iwe.
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 iwe using your package manager: `cargo install iwe`
Initialize your project workspace or configuration file for iwe.
Import iwe into your codebase or invoke it directly from your terminal.
Execute your test suite or run `iwe --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Rust, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
iwe-org/iwe is currently ranked #4,661 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #4,655 | solana-foundation/pay | Rust | ★ 1.8K | Compare ↗ |
| #4,657 | OpenAdaptAI/OpenAdapt | Python | ★ 1.8K | Compare ↗ |
| #4,658 | UI5/webcomponents | TypeScript | ★ 1.8K | Compare ↗ |
| #4,659 | mattt/iMCP | Swift | ★ 1.8K | Compare ↗ |
| #4,659 | LearnPrompt/ai-news-radar | Python | ★ 1.8K | Compare ↗ |
| #4,661 | iwe-org/iwe This Project | Rust | ★ 1.8K | |
| #4,661 | jooby-project/jooby | Java | ★ 1.8K | Compare ↗ |
| #4,663 | johnbillion/query-monitor | PHP | ★ 1.8K | Compare ↗ |
| #4,663 | gre/bezier-easing | JavaScript | ★ 1.8K | Compare ↗ |
| #4,665 | sonorahq/sonora | Rust | ★ 1.8K | Compare ↗ |
| #4,666 | candid82/joker | Go | ★ 1.8K | Compare ↗ |
Frequently Asked Questions
What does iwe do? +
Markdown knowledge graph — LSP for your editor, CLI + MCP memory for your AI agents
What language is iwe written in? +
The primary language is Rust. Topics include: ai-agents, ai-memory, cli, helix, knowledge-graph.
Is iwe actively maintained? +
Yes, the last recorded push was on Oct 18, 2026 with 1 open issues being tracked.
How many stars does iwe have? +
iwe has 1,779 stars and 102 forks on GitHub.
How does iwe rank among GitHub repositories? +
With 1,779 stars, iwe-org/iwe is ranked #4,661 globally across all repositories tracked on GitHubRepo and #460 among Rust projects.
What license is iwe distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.