Unix-style pipelines for MCP. Deterministic tool calls.
#ai-agents
2974 posts
Portable visual output layer for agents. One API call, one SVG. Zero dependencies, renders in any markdown.
Structural code intelligence for AI agents. Scan once, query everything — dead exports, circular imports, dependency graphs, and more. CLI +...
A structured data reader and writer like 'jq' and 'yq' for AI Agents
AI Governance Infrastructure — local evaluation. The governance layer for AI agents: a single compiled Rust binary that authenticates, autho...
AI employee for your team — delegate real work in Slack and a team of Claude-powered agents gets it done. Built on the Claude Agent SDK with...
A Context Compiler for TypeScript. Deterministic, diffable architectural contracts and dependency graphs for AI coding workflows.
A Model Context Protocol (MCP) server implementation that integrates with the Nutrient Document Web Service (DWS) Processor API, providing p...
c4 GenAI Suite
Open Python agent harness for production AI apps: tools, MCP, memory, workspace, telemetry, subagents, background tasks, and OmniServe APIs.
Fast, open agent harness for the terminal. One ~12 MB Go binary — bring any model and extensions into a single inspectable loop that learns...
MCP server that saves Claude Code tokens by delegating bounded tasks to local or cloud LLMs. Works with LM Studio, Ollama, vLLM, DeepSeek, G...