Search Results for "sql command line" - Page 3
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Showing 112 open source projects for "sql command line"
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Hiring Agent
AI agent to evaluate and score resumes
Hiring Agent is an AI-powered resume evaluation pipeline for screening technical candidates. It reads a resume PDF and converts the content into Markdown-like text. It then uses a local or hosted language model to extract structured candidate information into sectioned JSON. The system can enrich that resume data with GitHub profile and repository signals when a profile is available. After the data is collected, it produces an explainable evaluation with category scores, supporting evidence,... -
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Mini Agent
A minimal yet professional single agent demo project
Mini-Agent is a minimal yet production-minded demo project that shows how to build a serious command-line AI agent around the MiniMax-M2 model. It is designed both as a reference implementation and as a usable agent, demonstrating a full execution loop that includes planning, tool calls, and iterative refinement. The project exposes an Anthropic-compatible API interface and fully supports interleaved thinking, letting the agent alternate between reasoning steps and tool invocations during long, complex tasks. ... -
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birdclaw
Stores all your tweets nicely claw-able for agents
birdclaw is a local-first Twitter workspace designed for archiving, organizing, searching, and interacting with Twitter or X content in a structured environment. The project combines a web application and command-line interface to help users import personal archives, cache live content locally, and manage replies or engagement workflows from a centralized system. Its architecture prioritizes data ownership and offline accessibility, allowing users to retain searchable records of posts, likes, bookmarks, and conversations without depending entirely on external platforms. birdclaw also supports synchronization and filtering features that make large archives easier to navigate and analyze. ... -
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Gemini Fullstack LangGraph Quickstart
Get started w/ building Fullstack Agents using Gemini 2.5 & LangGraph
...It then iteratively refines its search until it produces a comprehensive, well-cited answer synthesized by the Gemini model. The repository provides both a browser-based chat interface and a command-line script (cli_research.py) for executing research queries directly. For production deployment, the backend integrates with Redis and PostgreSQL to manage persistent memory, streaming outputs, & background task coordination. -
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Univer
The Office Harness for AI Agents
...Univer exposes higher-level facade APIs for manipulating workbooks, ranges, and related objects programmatically. Its architecture also includes formulas, permissions, selections, worker-based processing, and plugin extensibility. Separate MCP and command-line projects let AI agents drive office documents through structured interfaces. -
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DeepSeek Engineer v2
A powerful coding assistant application
...It includes safeguards such as path validation, directory traversal protection, file size limits, and binary file exclusion. Overall, it is designed for developers who want a conversational coding tool that can inspect, modify, and reason about project files from the command line. -
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weixin-agent-sdk
Bridging framework for connecting arbitrary AI agents
...Developers implement an Agent interface that receives conversation identifiers, text, and optional media and returns text or media responses. An included ACP adapter can connect compatible agents such as Claude Code, Codex, and other command-line agents without custom integration code. QR-code login handles account authentication, while a message loop manages incoming and outgoing conversations. The SDK supports text, images, audio, video, files, quoted content, and voice transcription data. Bots can also proactively send messages after the required conversation context has been established. ... -
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OpenAGI
When LLM Meets Domain Experts
...Agents are organized in a well-defined folder structure that includes code (agent.py), configuration (config.json), and extra requirements (meta_requirements.txt), which makes them easy to package, share, and reuse. The project includes tooling for registering agents with AIOS by uploading them via a command-line interface, enforcing a consistent naming scheme that matches the local folder layout. A companion tooling layer lets agents call external tools described in the tools.md documentation, enabling them to orchestrate APIs, retrieval pipelines, and other utilities in response to LLM decisions. -
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Amoeba
Linux Command Line Learning Program
Amoeba is a Linux command-line learning program that observes and adapts to the Linux command line storing learned strings and their usage data. It enhances command-line proficiency by capturing command outputs, adapting string lengths, and periodically saving knowledge. Sandboxing is essential for security, and optionally a virtual machine would further isolates it from the host system. -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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muse
AI agent memory system—pure Markdown, zero dependencies, fully local
MUSE gives AI coding agents persistent cross-session memory and multi-role governance through plain Markdown files. Supports Claude Code, OpenClaw, Cursor, Windsurf, Gemini CLI, and Codex via one-command install. Built-in MCP Server for programmatic access. 56 skills, auto memory capture, semantic compression, role-based governance, multi-project management. Pure Markdown, no database, no cloud. MIT open source. -
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mcp-tc
Find MCP servers on mcp.tc and add them to your client from a terminal
...Each server has its own page at mcp.tc/i/{slug} with what it does, its tools, whether it needs a sign-in or an API key or runs locally, and one-click setup for Claude Code, Cursor, VS Code and other clients. Every step uses the server's own URL or package, so your client connects straight to the server and nothing passes through mcp.tc. mcp-tc is mcp.tc's command-line tool: open source (MIT), Node.js 20 or later, no account, no telemetry. Run it with npx mcp-tc. It searches the directory and adds a server to your client with the vendor's URL or package: it shows the command or config change first, asks, backs up the config file and keeps API keys on your computer. mcp-tc scan looks up the servers already in your client configs. ... -
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HunterX AI-Assisted Offensive Security Engine Discover. Validate. Prove. Report. HunterX is not merely a vulnerability scanner. It is an open-source, AI-assisted offensive security engine for planning and running authorized security-assessment missions. It combines reconnaissance, security-tool orchestration, AI-assisted reasoning, hypothesis-driven investigation, vulnerability validation, evidence collection, proof / PoC engineering, replay / reproducibility, correlation, impact...
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Orbi
Issue-to-release coding agent with independent PR review
Orbi takes a GitHub Issue from label to release. When an Issue is marked ai-ready, Orbi builds the change in a dedicated worktree and opens a pull request. A reviewer agent, separate from the one that wrote the code, compares the PR with the Issue's acceptance criteria and repairs it. Orbi then merges only that reviewed head and publishes a tagged GitHub release. It is installed from the GitHub repo, with the CLI on PyPI as orbi-cli and Docker images on GHCR and Docker Hub, and can also be... -
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Flora-2 is a powerful knowledge representation and reasoning system designed for building knowledge-intensive applications. It is based on F-logic, HiLog, Transaction Logic, and also supports defeasible reasoning. Applications include intelligent agents, Semantic Web, ontology management, and more. If you use Flora-2 and like it, please acknowledge it in your project!
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Jason is a fully-fledged interpreter for an extended version of AgentSpeak, a BDI agent-oriented logic programming language, and is implemented in Java. Using JADE a multi-agent system can be distributed over a network effortlessly. This project was moved to https://jason-lang.github.io
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The Teachingbox uses advanced machine learning techniques to relieve developers from the programming of hand-crafted sophisticated behaviors of autonomous agents (such as robots, game players etc...) In the current status we have implemented a well founded reinforcement learning core in Java with many popular usecases, environments, policies and learners. Obtaining the teachingbox: FOR USERS: If you want to download the latest releases, please visit:...
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Batch File Artificial Intelligence
Chat bot and free roaming AI in batch
Included in this project is a simple chat bot, a battle AI, and a swarm based free roaming AI. -
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P3: The Portable Unix Programming System
Multi-process homeostatic software agent library
PUPS/P3 facilitates development of multi-process multi-host computations by providing tools to emulate colonies of homeostatic organisms. It permits persistent computation, homeostatic resource protection, and asychronous interprocess communication. -
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GGPServer is a web server based on Apache Tomcat that allows to play and watch matches between registered general game glaying (http://en.wikipedia.org/wiki/General_Game_Playing) programs.
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MYRA
A collection of ACO algorithms for the data mining classification task
MYRA is a collection of Ant Colony Optimization (ACO) algorithms for the data mining classification task. It includes popular rule induction and decision tree induction algorithms. The algorithms are ready to be used from the command line or can be easily called from your own Java code. They are build using a modular architecture, so they can be easily extended to incorporate different procedures and/or use different parameter values. This project is now hosted at: https://github.com/febo/myra -
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nunn
This is an implementation of a machine learning library in C++17
nunn is a collection of ML algorithms and related examples written in modern C++17. -
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TinyCog
Cognitive architecture with a focus on self-models
TinyCog is a cognitive architecture (perception, action, reasoning, planning, and language) with a focus on representing "self-models" (physical, capabilities, intentions, social, historical, "cognitive stream") in order to implement social reasoning and collaborative planning in a "hunter domain" test bed. We use Prolog, RDF Triples, Description Logic and a HTN-Planner as base technologies. -
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KCK2013
Inteligentne karaluchy
Inteligentne karaluchy KCK LI0, sem. zimowy 2013/14, ćwiczenia środa 10.00, grupa nr 15(1CE) Grupa 2. Adam Klimczyk, Miłosz Makowski, Andrzej Rumiński “Inteligentne karaluchy” to aplikacja umożliwiająca użytkownikowi komunikację z agentem w języku naturalnym. Agentem jest człowiek, który znajduje się w pewnym środowisku, zamieszkałym przez karaluchy. Użytkownik może wydawać agentowi polecenia i otrzymywać informacje o stanie środowiska. Agent, wykonując polecenia, może wpływać na... -
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Hemera is a Virtual Intelligent System aggregating some more advanced Artificial Intelligence Technologies (speech, speech recognition, form recognition, motion recognition ...); with applications in daily tasks, domotics and robotics ...
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The MaxParser is written in c++ and can parse with first, second, third and fourth order projective Graph-based Dependency parsing algorithm. The project is the new version of the project "Max-MSTParser". If you want to use this software for research, please reference this web address in your papers
