Lynkr
Streamline your workflow with Lynkr, a CLI tool for efficient code interactions using Claude Code CLI.
GraphCanon updated 4w · GitHub synced 4w · 30 views this month
Decision brief
Lynkr is a CLI tool that serves as an HTTP proxy to streamline code interactions with Claude Code CLI specifically.
Good fit when
- - Use Lynkr when you need to enhance your interaction efficiency with the Claude Code CLI in a self-hosted environment.
- - Opt for Lynkr if integrating AI-driven coding functionalities requires direct, managed connections through an HTTP proxy.
Avoid when
- - Avoid using Lynkr if you are looking for a generalized solution that supports multiple AI coding tools besides Claude Code CLI.
- - Do not use Lynkr when your workflow does not require or benefit from having an intermediary HTTP proxy to manage communications.
Observed Jul 12, 2026 · Source: enrich:decision_facts
Verify the decision
Adoption
Package downloads where a registry match exists. GitHub stars (533) are secondary evidence.
- npm downloads (30d)
- 2,669·npm downloads API·4w
Maintenance and security
Full trust report- Maintenance
- Very active (1d since push)
- As of 4w
- Provenance
- Not a fork · Organization account
- As of 4w
- Security (OSV)
- No MCP manifest
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
npm install LynkrHow it fits your stack(4)
Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.
Alternative
Integrates
Relationship graph
Optional deeper exploration of typed edges and category neighbours.
Similar tools
Same-category neighbours not already linked as typed edges.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Lynkr is a command-line interface (CLI) tool that acts as an HTTP proxy designed to facilitate more efficient interactions between developers and AI-driven coding tools, specifically the Claude Code CLI. It caters to developers looking to integrate AI-driven functionalities into their development workflow in a self-hosted manner.
Capability facts
- Deploy
- Self-host
Source: dockerfile:Dockerfile · Jul 21, 2026
- Docker
- Dockerfile present
Source: dockerfile:Dockerfile · Jul 21, 2026
- CLI
- CLI entrypoint
Source: package.json:bin|scripts · Jul 21, 2026
- MCP server
- No MCP server detected
Source: repo_scan · Jul 21, 2026
- Languages
- javascript
Source: github.language+package.json · Jul 21, 2026
Categories
Graph entities
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Jul 21, 2026)
npm install -g lynkrSource link
Tags
README
1. Install Lynkr
npm install -g lynkr
Install Ollama first: https://ollama.com
ollama pull qwen2.5-coder:latest
Then start Lynkr:
```bash
lynkr start
Cost tracking & model pricing
Per-request cost is computed from a model-pricing registry (LiteLLM → models.dev,
cached 24h) and recorded in telemetry. Models the registry doesn't know record
cost_usd=null (logged once) rather than a fabricated price. Pin prices for
unknown models:
---
# Install Rust if not already installed
curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh
source $HOME/.cargo/env
---
# Build and install graphify
git clone https://github.com/safishamsi/graphify
cd graphify
cargo build --release
sudo cp target/release/graphify /usr/local/bin/
---
# Verify installation
graphify --version
Enable in .env:
CODE_GRAPH_ENABLED=true
CODE_GRAPH_WORKSPACE=/path/to/your/project # Optional, defaults to cwd
Features:
- AST-based complexity scoring
- Structural code analysis (19 languages supported)
- Enhanced routing decisions based on code structure
Note: Graphify is completely optional. If not installed, Lynkr falls back to simpler complexity analysis.
Installation Methods
NPM (recommended)
npm install -g lynkr
One-line installer
curl -fsSL https://raw.githubusercontent.com/Fast-Editor/Lynkr/main/install.sh | bash
Homebrew (macOS / Linux)
brew tap fast-editor/lynkr
brew install lynkr
lynkr --version
Upgrade later with brew update && brew upgrade lynkr. The formula tracks the latest lynkr npm release automatically.
Docker
git clone https://github.com/Fast-Editor/Lynkr.git
cd Lynkr
docker-compose up -d
From source
git clone https://github.com/Fast-Editor/Lynkr.git
cd Lynkr
npm install
cp .env.example .env
npm start
Cost projection (100,000 requests/month, same backend)
Direct cost (raw meter):
| Monthly cost | vs LiteLLM | |
|---|---|---|
| LiteLLM (TOON tool-heavy scenario) | ~$818 | baseline |
| Lynkr (TOON tool-heavy) | ~$409 | ~50% cheaper via token optimization |
Effective cost per correct-tier answer (July 19 head-to-head, all 11 routing scenarios):
| Direct $/mo | Effective $/mo if you re-issue misroutes at correct tier | |
|---|---|---|
| Lynkr | ~$5.50 (spends where it should, doesn't where it shouldn't) | ~$5.50 |
| LiteLLM v2 heuristic | $0 (under-routes everything to ollama) | ~$89 (7 misroutes need re-issue on Moonshot/COMPLEX) |
The story isn't "Lynkr always spends less." It's Lynkr spends where it should and doesn't where it shouldn't. LiteLLM's zero-dollar cost on complex prompts is bought with wrong-tier answers to hard work — a 7B model answering "prove this rate limiter is fair under concurrent refill" is silent quality collapse, not a savings.
→ Full benchmark report with methodology
Cost Comparison
| Scenario | Direct Anthropic | Lynkr + Ollama | Lynkr + OpenRouter |
|---|---|---|---|
| Daily coding (8h) | $10-30/day | $0 (free) | $2-8/day |
| Monthly (heavy use) | $300-900 | $0 | $60-240 |
With tier routing + token optimization: additional 50-87% savings on cloud providers depending on workload.
License
Apache 2.0 — See LICENSE.
Built by Vishal Veera Reddy for developers who want control over their AI tools.
For agents
This page has a .md twin and JSON over the API.