Lynkr
Streamline your workflow with Lynkr, a CLI tool that acts as an HTTP proxy for efficient code interactions using Claude Code CLI.
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What is Lynkr?
Lynkr is a self-hosted universal LLM proxy server that enables AI coding tools like Claude Code, Cursor, Codex CLI, Cline, and Continue.dev to work with any LLM provider. It acts as a drop-in replacement for the Anthropic API at localhost:8081, handling format conversion, prompt caching, and token optimization transparently without requiring code changes in your tools.
The tool supports 12+ LLM providers including Ollama, llama.cpp, LM Studio, MLX Server (all free local options), AWS Bedrock, OpenRouter, Databricks, Azure OpenAI, Azure Anthropic, OpenAI, z.ai, and Vertex AI. It delivers 60-80% cost reduction through smart tool selection, prompt caching, and memory deduplication. Lynkr includes a Titans-inspired long-term memory system that persists context across sessions for smarter, more contextual responses.
Lynkr is built for production with enterprise-grade features including circuit breakers, load shedding, metrics, health checks, audit logging, Full MCP (Model Context Protocol) integration for advanced agent workflows, hierarchical routing that automatically directs simple tasks to faster models and complex tasks to more capable models, and remote endpoints allowing teams to share GPU inference resources across dedicated servers.
The tool is ideal for developers and teams using AI coding assistants who want to use local free models or switch between cloud providers without changing code. It works particularly well for developers who want privacy with local offline running, cost savings through token optimization, and flexibility to use any model from free local options to enterprise cloud solutions.
Lynkr pricing
Pricing model: Freemium
Lynkr itself is free and open source. Local providers (Ollama, llama.cpp, LM Studio, MLX Server) are completely FREE. Cloud providers have their own pricing: AWS Bedrock offers 100+ models, OpenRouter offers 100+ models, Databricks includes Claude 4.5, Azure OpenAI includes GPT-4o and o1, Azure Anthropic includes Claude, OpenAI includes GPT-4o and o1, z.ai offers GLM models, and Vertex AI offers Gemini. Users pay only for the cloud provider they choose while saving 60-80% through Lynkr's token optimization.
Lynkr pros
- 60-80% cost reduction on LLM usage
- Supports 12+ LLM providers in one tool
- Free local models available through Ollama, llama.cpp, LM Studio, MLX Server
- Drop-in replacement for Anthropic API - no code changes needed
- Self-hosted for complete data privacy and offline operation
- Long-term memory system persists context across sessions
- Full MCP (Model Context Protocol) integration for advanced workflows
- Enterprise-grade reliability with circuit breakers and load shedding
- Hierarchical routing automatically selects optimal model for task complexity
- Remote endpoints enable team sharing of GPU inference resources
- Built-in metrics, health checks, and audit logging for production
- 400+ tests ensure reliability and stability
- Works with Claude Code CLI, Cursor IDE, Codex CLI, Cline, Continue.dev
- Easy installation via npm or Homebrew
- Intelligent prompt caching reduces token usage
- Smart tool selection optimizes costs automatically
- Memory deduplication prevents redundant processing
Lynkr cons
- Requires self-hosting setup and maintenance
- Only works with specific AI coding tools (Claude Code, Cursor, etc.)
- Local models require GPU hardware for good performance
- Environment variable configuration can be complex for beginners
- No official cloud-hosted version available
- Primarily optimized for code-related tasks
- Remote endpoints require additional network configuration
- Learning curve for hierarchical routing setup
Frequently asked questions about Lynkr
What is Lynkr?
Lynkr is a self-hosted proxy server that enables Claude Code, Cursor, and AI coding tools to work with any LLM provider. It acts as a universal LLM proxy with 60-80% cost reduction, supporting 12+ providers including local free options like Ollama and cloud solutions like AWS Bedrock and OpenAI.
How do I install Lynkr?
Install globally via npm with 'npm install -g lynkr' or via Homebrew with 'brew tap vishalveerareddy123/lynkr && brew install lynkr'. Then configure your provider using environment variables and start the proxy server with 'npm start' which runs at http://localhost:8081.
Which providers does Lynkr support?
Lynkr supports 12+ providers: Ollama (Local, FREE), llama.cpp (Local, FREE), LM Studio (Local, FREE), MLX Server (Apple Silicon, FREE), AWS Bedrock (Cloud, 100+ models), OpenRouter (Cloud, 100+ models), Databricks (Enterprise, Claude 4.5), Azure OpenAI (Cloud, GPT-4o, o1), Azure Anthropic (Cloud, Claude), OpenAI (Cloud, GPT-4o, o1), z.ai (Cloud, GLM models), and Vertex AI (Cloud, Gemini).
Which tools work with Lynkr?
Lynkr works with Claude Code CLI (official Anthropic terminal assistant), Cursor IDE (AI-first code editor), Codex CLI (OpenAI's terminal assistant), ClawdBot (GitHub Copilot alternative), and Cline/Continue.dev (OpenAI-compatible VS Code extensions). It is a drop-in replacement for Anthropic API requiring no code changes.
How does Lynkr reduce costs by 60-80%?
Lynkr reduces costs through token optimization including smart tool selection that chooses the right tool for each task, prompt caching that stores frequently used prompts, and memory deduplication that prevents redundant processing. These features work together transparently to significantly reduce token usage.
Can I run Lynkr locally for privacy?
Yes, Lynkr offers 100% local option. You can use free local providers like Ollama, llama.cpp, LM Studio, or MLX Server for completely private, offline operation. The proxy runs on localhost:8081 and all processing happens on your machine without sending data to external services.
What is the long-term memory feature?
Lynkr includes a Titans-inspired memory system that persists context across sessions. This enables smarter and more contextual responses by remembering previous interactions, making the AI more aware of your project history and coding patterns over time.
What enterprise features does Lynkr include?
Lynkr is built for production with enterprise-grade features including circuit breakers to prevent cascading failures, load shedding to handle high traffic, built-in metrics for monitoring, health checks for reliability verification, and audit logging for compliance and debugging in production deployments.
How does hierarchical routing work?
Hierarchical routing intelligently routes requests across model tiers automatically. Simple tasks are routed to faster, cheaper models while complex tasks are routed to more capable models. This optimizes both cost and performance without manual intervention.
Can my team share Lynkr across multiple machines?
Yes, Lynkr supports remote endpoints that allow you to connect to models on any machine. You can run inference on dedicated GPU servers and share resources across your entire team, making it efficient for teams to collaborate on AI-assisted development.