Tools

The agent that grows with you

An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs

A lightweight alternative to OpenClaw that runs in containers for security. Connects to WhatsApp, Telegram, Slack, Discord, Gmail and other messaging apps,, has memory, scheduled jobs, and runs directly on Anthropic's Agents SDK

Historical stock chart pattern intelligence for AI agents. 24M pre-computed embeddings across 15K stocks and 10 years of data. Search by ticker+date or screenshot to find the most similar historical patterns and see what happened next. 19 tools including pattern search, forward returns, regime analysis, and trade simulation. Install: `pip install chartlibrary-mcp`. Free tier: 200 calls/day.

Deterministic execution engine for AI agents with 412 modules across 78 categories (browser, file, Docker, data, crypto, scheduling). Features execution trace, evidence snapshots, replay from any step, and supports both STDIO and Streamable HTTP transport.

The all-in-one AI productivity accelerator. On device and privacy first with no annoying setup or configuration.

High-performance open-source in-memory graph database for GraphRAG, AI memory, agentic AI, and real-time graph analytics. Cypher-compatible, built in C++.

Proof-of-behavior enforcement for AI agents. Define behavioral covenant rules (permit/forbid/require), enforce at runtime before execution, get SHA-256 hash-chained tamper-evident audit logs, and verify compliance independently. Cross-agent verification handshake — no proof, no transaction. MIT licensed, 4,244 tests.

A Kubernetes Model Context Protocol (MCP) server that provides tools for interacting with Kubernetes clusters through a standardized interface, including API resource discovery, resource management, pod logs, metrics, and events.

Data infrastructure for AI

Evaluation and Tracking for LLM Experiments and AI Agents

Persistent graph memory for AI agents. Drop a conversation turn in via `observe_conversation()` and facts are auto-extracted, stored as typed graph nodes with local semantic embeddings (no API key). Supports temporal queries ("what did we decide last week?")

Unified API hub for AI agents with 56+ tools across travel (Amadeus, Sabre), prediction markets (Polymarket), crypto, and weather. Pay-per-call via x402 micropayments in USDC.

The conversational control layer for customer-facing AI agents - Parlant is an agentic harness optimized for controlling customer interactions.

Get 10X more out of Claude Code, Codex or any coding agent

Hierarchical memory engine for AI agents with automatic decay, promotion, semantic dedup, and self-organizing topic tree. Single Rust binary, zero external dependencies.

Open Source Browser API for AI Agents & Apps. Steel Browser is a batteries-included browser sandbox that lets you automate the web without worrying about infrastructure.

Token-efficient Go documentation server that provides AI assistants with smart access to package docs and types without reading entire source files

Playwright for the entire OS. Gives AI agents the ability to see, find, and interact with UI elements in any desktop application.

BunkerM: All-in-one Mosquitto MQTT management platform, featuring dynamic security, MQTT ACL management, monitoring,and AI integrations

Map clinical terminology to OMOP concepts using LLMs for healthcare data standardization and interoperability.

Self-hosted knowledge backend for AI agents with hybrid vector + keyword search, container-isolated indexes, and 11 MCP tools. .NET, Docker-ready.

Cognitive memory for AI agents with Hebbian learning, 3-tier architecture, and knowledge graphs. Single ~15MB binary, runs offline on edge devices.

Natural Context Provider (NCP). Your MCPs, supercharged. Find any tool instantly, load on demand, run on schedule, ready for any client. Smart loading saves tokens and energy.

MCP server for the Registry Broker. Discover, register, and chat with AI agents on the Hashgraph network.

Smart web fetcher for AI agents with auto-escalation from HTTP to headless browser to stealth mode. Includes 9 MCP tools: fetch, search, crawl, map, extract, batch, screenshot, jobs, and agent. Achieved 100% success rate on a 30-URL benchmark.

Execute any LLM-generated code in a secure and scalable sandbox environment and create your own MCP tools using JavaScript or Python, with full support for NPM and PyPI packages

The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.