LLM-Driven Extraction of Unstructured Data — Built for API Deployments & ETL Pipeline Workflows
Repair malformed JSON from LLMs, APIs, logs, and user input in Python.
Schema-Guided Reasoning (SGR) has agentic system design created by neuraldeep community
MLX Omni Server is a local inference server powered by Apple's MLX framework, specifically designed for Apple Silicon (M-series) chips. It implements OpenAI-compatible API endpoints, enabling seamless integration with existing OpenAI SDK clients while leveraging the power of local ML inference.
Unified Go interface for Language Model (LLM) providers. Simplifies LLM integration with flexible prompt management and common task functions.
本地监控 + AI 视觉 — LAN-based smartphone-powered AI monitoring framework with structured event output for data acquisition and analysis.
A versatile workflow automation platform to create, organize, and execute AI workflows, from a single LLM to complex AI-driven workflows.
React Native Apple LLM plugin using Foundation Models
Simplifies the retrieval, extraction, and training of structured data from various unstructured sources.
Where conversations become interfaces.
Dev tools, optimized for agents. Structured, token-efficient MCP servers for git, test runners, npm, Docker, and more.
OpenAPI definitions, converters and LLM function calling schema composer.
Deterministic research MCP server on FastMCP 3 — 5-engine web search, 9-platform social search, 6 academic DBs, news aggregation, entity profiles, conflict detection, document analysis. No API keys. No in-server LLM. Structured outputs for agent chaining.
Structured output generation in Swift
🚬 cigs are chainable Ai functions for typescript. Call functions with natural language and get a response back in a specified structure. Uses OpenAI's latest Structured Outputs.
A production-grade control layer that sits between your application logic and any LLM — input validation, schema enforcement, circuit breaking, targeted retry, and audit logging in one composable pipeline.
Validate, repair, and retry LLM structured outputs. 13 repair strategies for common JSON malformations, JSON Schema validation, and retry-with-feedback prompts.
LLM-powered security log analyzer: detect threats & anomalies with zero regex — just declare a Pydantic schema. Real-time Telegram alerts, SIEM-ready with Elasticsearch/Kibana. Supports OpenAI, Ollama, vLLM.
Archived. Earlier Bonnard product. Current: bonnard.dev / @bonnard/mcp-charts
Turn documents into structured JSON with local-first document AI. Run 100% locally by default, with API, CLI, and Web UI.
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