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RLM: Process Large Documents in LLM-Sized Chunks
RLM is a .NET CLI for breaking large documents into manageable chunks, processing them across multiple turns, and combining the results. It suits developers using Claude Code or scripts to work with content that exceeds an LLM's context window.
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RLM: Process Large Documents in LLM-Sized Chunks
RLM is a .NET CLI for breaking large documents into manageable chunks, processing them across multiple turns, and combining the results. It suits developers using Claude Code or scripts to work with content that exceeds an LLM's context window.
QuietHealth 25/100
model-harness: Build Controllable AI Agents for .NET
A ports-and-adapters framework for building bounded, extensible AI agents in .NET. It combines a model loop with context-shaping guides, safety sensors, tools and budget controls, with adapters for Anthropic, Azure OpenAI and Ollama.
NewHealth 54/100
ContextTax: Measure MCP Tool Costs in an AI Context Window
ContextTax is a cross-platform CLI that measures how much MCP tool schemas and responses consume from an AI agent’s context window. Use Anthropic token counting for ground-truth figures or an offline estimate when you do not have an API key.
QuietHealth 20/100
Koshi: Give AI Coding Agents Local Memory and Retrieval
Koshi is a local-first MCP server for giving AI coding agents durable project memory, code retrieval, and shared team decisions. It suits teams that want context to persist across sessions and machines without relying on cloud services or API keys.
QuietHealth 24/100
SocratiCode: Give AI Agents Searchable Codebase Context
SocratiCode is a local-first MCP server and plugin that helps AI agents explore large codebases with semantic search, dependency graphs, and symbol-level impact analysis. It also indexes project context such as API specs and database schemas.
ActiveHealth 75/100
ace: Evolve LLM Contexts Through Agent Experience
ACE helps language-agent teams build and refine reusable playbooks from task outcomes, rather than repeatedly rewriting prompts or fine-tuning models. It suits teams experimenting with offline or online adaptation for agent tasks and domain-specific reasoning.
MaintainedHealth 37/100
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mkcertWeb: Manage Local Development Certificates in a Web UI
mkcertWeb is a self-hosted web interface for generating and managing locally trusted development certificates with mkcert. It suits developers and small teams that want browser-based certificate workflows, device enrollment, and optional authentication or expiry alerts.
ActiveHealth 43/100
lipgloss: Style and Layout for Terminal Interfaces
Lip Gloss is a Go library for styling terminal output and composing text-based layouts. It suits developers building command-line tools and terminal user interfaces who want reusable styles, color handling, and layout helpers without implementing terminal rendering themselves.
ActiveHealth 54/100
lance: Store and Query Multimodal Lakehouse Data
Lance is a Rust-based lakehouse format and SDK for AI and machine-learning data. It combines columnar storage with random access, vector and full-text search, and dataset versioning for teams working with multimodal data.
ActiveHealth 74/100
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