ToolAI.io · GitHub चैनल

GitHub पर ट्रेंडिंग AI प्रोजेक्ट्स

LLM, एजेंट, MCP, RAG और कोडिंग विषयों में सक्रिय ओपन-सोर्स AI रिपॉज़िटरीज़ को स्टार्स और सत्यापित प्रोजेक्ट जानकारी के साथ ट्रैक करें।

सार्वजनिक रिपॉज़िटरी का डेटा

प्रोजेक्ट इंडेक्स

118 प्रोजेक्ट्स
Genkit: Open-Source Framework for Agentic AI Applications का स्क्रीनशॉट
एजेंट और मल्टी-एजेंट

Genkit: Open-Source Framework for Agentic AI Applications

genkit-ai/genkit

Genkit is an open-source framework built and used in production by Google's Firebase for developing full-stack, AI-powered applications. It provides cross-language SDKs and unified APIs for integrating various AI models to build chatbots, automations, and recommendation systems.

★ 6.3K⑂ 816TypeScript
Apache-2.0Q98
Plano: AI-Native Proxy Server and Data Plane for Agentic Apps का स्क्रीनशॉट
एजेंट और मल्टी-एजेंट

Plano: AI-Native Proxy Server and Data Plane for Agentic Apps

katanemo/plano

Plano is an AI-native proxy server and data plane built in Rust that centralizes LLM routing, agent orchestration, observability, and guardrails, allowing developers to focus on core agent logic rather than infrastructure plumbing.

★ 7K⑂ 484Rust
Apache-2.0Q98
TruLens: Evaluation and Tracking for LLM Experiments and AI Agents का स्क्रीनशॉट
एजेंट और मल्टी-एजेंट

TruLens: Evaluation and Tracking for LLM Experiments and AI Agents

truera/trulens

TruLens is an open-source, OpenTelemetry-native evaluation and tracking library for LLM applications and AI agents, enabling developers to trace every step, score performance with LLM judges, and compare app versions.

★ 3.5K⑂ 319Python
MITQ98
QwenPaw का स्क्रीनशॉट
MCP और टूल कॉलिंग

QwenPaw

agentscope-ai/qwenpaw

A self-hostable personal AI assistant that runs locally or in the cloud, featuring multi-channel connectivity, extensible skills, and a three-layer memory system.

★ 33.9K⑂ 3KPython
Apache-2.0Q98
EvalScope का स्क्रीनशॉट
RAG और ज्ञान प्रणालियाँ

EvalScope

modelscope/evalscope

A streamlined and customizable framework for efficient large model (LLM, VLM, AIGC) evaluation and performance benchmarking.

★ 3.2K⑂ 440Python
Apache-2.0Q98
OpenAgents का स्क्रीनशॉट
एजेंट और मल्टी-एजेंट

OpenAgents

openagents-org/openagents

An open-source platform providing a collaborative operating system for AI agents, enabling unified workspace management, multi-agent coordination, and network integration without vendor lock-in.

★ 4K⑂ 403TypeScript
Apache-2.0Q98
NVIDIA NeMo Speech का स्क्रीनशॉट
LLM और फ़ाउंडेशन मॉडल

NVIDIA NeMo Speech

nvidia-nemo/speech

A scalable generative AI framework built for researchers and PyTorch developers working on Automatic Speech Recognition (ASR), Text-to-Speech (TTS), and Speech LLMs.

★ 17.9K⑂ 3.5KPython
Apache-2.0Q98
Open SWE: An Open-Source Asynchronous Coding Agent by LangChain का स्क्रीनशॉट
एजेंट और मल्टी-एजेंट

Open SWE: An Open-Source Asynchronous Coding Agent by LangChain

langchain-ai/open-swe

Open SWE is an open-source framework for building internal coding agents. Built on LangGraph and Deep Agents, it provides cloud sandboxes, Slack/Linear/GitHub invocation, subagent orchestration, and automatic PR creation for engineering organizations.

★ 10.5K⑂ 1.2KPython
MITQ98
BrowserOS: The Open-Source Agentic Browser का स्क्रीनशॉट
एजेंट और मल्टी-एजेंट

BrowserOS: The Open-Source Agentic Browser

browseros-ai/browseros

BrowserOS is a free, open-source Chromium fork with a built-in AI agent, accompanied by BrowserOS neo, a secondary browser designed specifically for AI agents. It enables local-first browser automation, supporting multiple LLM providers and MCP-compatible tools.

★ 12.9K⑂ 1.4KTypeScript
AGPL-3.0Q98
Honcho का स्क्रीनशॉट
एजेंट और मल्टी-एजेंट

Honcho

plastic-labs/honcho

Memory infrastructure for building stateful AI agents that understand changing people, agents, groups, projects, and ideas over time.

★ 6.5K⑂ 788Python
AGPL-3.0Q98
Headroom: Context Compression Layer for AI Agents का स्क्रीनशॉट
MCP और टूल कॉलिंग

Headroom: Context Compression Layer for AI Agents

headroomlabs-ai/headroom

Headroom is a local-first context compression layer that reduces token usage for AI agents by compressing tool outputs, logs, files, and RAG chunks before they reach the LLM. It offers library, proxy, and MCP server modes and claims to preserve answer accuracy while cutting tokens by 15-95% depending on workload.

★ 65K⑂ 4.9KPython
Apache-2.0Q98
Firecrawl का स्क्रीनशॉट
एजेंट और मल्टी-एजेंट

Firecrawl

firecrawl/firecrawl

An open-source web context API to search, scrape, and interact with the web at scale, converting web data into clean Markdown or structured JSON for AI agents and LLMs.

★ 161.1K⑂ 9.1KTypeScript
AGPL-3.0Q98

पृष्ठ 6 / 10 · 118 प्रोजेक्ट

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