A polyglot document intelligence framework with a Rust core. Extract text, metadata, images, and structured information from PDFs, Office documents, images, and 91+ formats. Available for Rust, Python, Ruby, Java, Go, PHP, Elixir, C#, R, C, TypeScript (Node/Bun/Wasm/Deno)- or use via CLI, REST API, or MCP server.

A Model Context Protocol (MCP) client library and debugging toolkit in Rust. This foundation provides both a production-ready SDK for building MCP integrations and the core architecture for an interactive debugger.

A config-driven MCP server core built on the official Rust SDK. Define tools, auth, prompts, resources, and HTTP behavior in YAML or JSON configuration -- the library handles execution, validation, and protocol compliance with minimal Rust code.

Persistent cognitive graph memory for AI agents — facts, decisions, reasoning chains, corrections. 16 query types, sub-millisecond. Rust core + Python SDK + MCP server.

Policy engine for AI agents — enforceable rules, risk limits, approval gates, obligation tracking, and violation detection. One .acon file. Rust core + MCP server.

Persistent visual memory for AI agents — capture screenshots, embed with CLIP ViT-B/32, compare, recall. MCP server + Rust core library.

Structured agent-to-agent and agent-to-human communication — channels, pub/sub, message routing, and presence. One .acomm file. Rust core + MCP server.

TrustChain - decentralized trust for AI agents. Rust core, QUIC P2P, transparent proxy, MCP server, dashboard

Self-adaptive, context-aware Model Context Protocol (MCP) server — Rust core + TypeScript SDK + VS Code extension + Qoder extension

Production-ready AI governance framework with Rust core and MCP architecture for protocol-level enforcement in AI-assisted development

Temporal reasoning for AI agents — deadlines, schedules, sequences, duration estimation (PERT), and decay models. One .atime file. Rust core + MCP server.

Universal orchestration engine for AI agents — workflows, pipelines, state machines, batch processing. 24 inventions, 124 MCP tools, .awf format. Rust core + MCP server.

Intent compilation and uncertainty detection for AI agents — truth verification, ambiguity resolution, causal reasoning. Rust core + MCP server.

Blueprint engine for complete project architecture before code generation — entity inference, dependency resolution, skeleton generation. Rust core + MCP server.

Streaming validation engine for AI agents — real-time code validation during generation, shadow execution, protection layers. Rust core + MCP server.

High-performance AI-friendly process manager (PM2 alternative). Zig core + Rust shell. Native MCP server, algorithmic smart logs — zero LLM cost.

Pattern library engine for AI agents — crystallizes verified code patterns for instant rebuilds, 15-second subsequent builds. Rust core + MCP server.

Language-agnostic MCP runtime with hot reload, dynamic tool lists, and server-defined workflows. Go binary core with Go, Python, TS, Rust SDKs.

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A mcp wrapper for memvid-core built in rust.

Shared Rust core library for all DataXLR8 MCP servers (PostgreSQL, error types, config, logging)

Dual-layer AI platform: Rust core + Python AI orchestration (LLM routing, swarms, DAG scheduling, MCP)

BridgingIO — MCP gateway daemon (Rust core) exposing controlled SSH, Gerrit, Git and ADB access to AI models.

Memory layer for LLM agents — persistent, temporally-aware recall with conflict detection. Rust core + MCP server and CLI.

Universal data comprehension for AI agents — infer schemas, track lineage, detect anomalies, transform any format. 122 MCP tools, 16 parsers. Rust core + CLI + MCP server.

Data Analysis MCP Server in Rust with real TypeScript execution via deno_core V8 runtime. Features HTTP transport, auto-registration, PostgreSQL connections, and Docker deployment.

A simple blockchain implementation in Rust featuring SHA-256 hashing, CLI interface, and MCP server integration. Demonstrates core blockchain concepts through block creation and chain validation while exposing blockchain functionalities over a network.

A polyglot document intelligence framework with a Rust core. Extract text, metadata, and structured information from PDFs, Office documents, images, and 50+ formats. Available for Rust, Python, Ruby, Java, Go, PHP, Elixir, C#, TypeScript (Node/Bun/Wasm/Deno) —or use via CLI, REST API, or MCP server.

agentrs.net is a .NET port of the Rust agentrs SDK. It keeps the same core programming model: provider-agnostic LLM abstractions, composable tools, MCP integration, pluggable memory, multi-agent orchestration, and YAML-driven runtime loading.

agentrsjs is a TypeScript and Node.js port of the Rust agentrs workspace. It keeps the same core ideas: provider-agnostic LLM abstractions, tool calling, MCP integration, pluggable memory backends, multi-agent orchestration, and YAML-driven runtime loading.