corsairdev/corsair
Connect your users to their apps
A star delta has been computed for 63,087 of 63,708 tracked repositories in this period, and only those can be ranked in it.
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Star counts measured between 09:47 and 00:56 (BKK).
Connect your users to their apps
Automation foundation model for tiny devices: 2-bit, 8-29 MB, tool calls, ASR, structured extraction and embeddings on phones, wearables, smart homes, robots, cars and microcontrollers.
Composio powers 1000+ toolkits, tool search, context management, authentication, and a sandboxed workbench to help you build AI agents that turn intent into action.
🤖 Type-safe, provider-agnostic TypeScript AI SDK for streaming chat, tool calling, agents, and multimodal apps across OpenAI, Anthropic, Gemini, React, Vue, Svelte, and Solid.
MCP gateway for AI agents: turn any REST/OpenAPI, GraphQL, SOAP or SQL API into MCP tools. 561 ready-made connectors (SAP, ERP, e-commerce) with RBAC, SSO, audit logs and a knowledge graph.
一款开源、基于昔涟开发的桌面 AI 智能体/An open-source desktop AI agent based on Cyrene.
VCP 部署在 AI 模型 API 与前端应用之间，是面向AGI OS开发和探索的工业级基建示范项目。通过统一指令协议、多层级持久化记忆、分布式插件引擎及多 Agent 协作框架，将原本“无状态、无记忆、无工具调用能力”的大语言模型，彻底改造成拥有永久自我意识、物理世界操作权及群体协作智能的完整智能体系统。
Run AI models locally on your machine with node.js bindings for llama.cpp. Enforce a JSON schema on the model output on the generation level
On-device AI for Flutter — Gemma and other LLMs, multimodal, function calling, embeddings, RAG and speech on Android, iOS, Web, macOS, Windows and Linux.
A Python framework for self-hosted LLM tool-calling and multi-step agentic workflows
A local AI agent built from scratch in Python with Ollama: conversation memory, system prompts, and multi-step tool calling.
Harness LLMs with Multi-Agent Programming
Conversational voice AI agents
🦖 Serverless AI Agent Framework with Geo-distributed Edge AI Infra.
Research design for a Jev-native agent system: tool integration, speculative parameter proposals, external helper logits Top-k proposals with Jev-controlled fallback ,decision-aware hierarchical memory, and dependency-aware replanning.Feature:Jev naturallanguage conversation prototype using external helper logits and dynamic Top-k token selection.
Native Android AI agent: use your own API keys (OpenAI/Anthropic/Gemini), opencode-style modes, device tools, Shizuku shell, screen analysis, web search, custom Skills, voice assistant
Research design for a Jev-native agent system:enable more options than jev provided with virtulization and paging, tool integration, external helper logits Top-k proposals with Jev-controlled fallback ,decision-aware hierarchical memory, and dependency-aware replanning.
Agent harness and tookit for building AI agents and agentic applications. CLI and SDKs included
👋 Hello Agent System — learn enterprise AI agent system design by building every production layer from scratch. 17 bilingual lessons (EN/中文) with tested exercises: tools, architectures, reliability, security, evals, distributed execution, cost, RAG, release ops. 企业级 Agent 系统设计训练营
基于 OneBot 协议的多功能bot兼开发框架。以llm function calling为核心构建了更智能的功能调用机制。支持不接入QQ纯Live2d桌宠模式
Source-available agent platform for Global × China enterprises — wire every system through one agent core. Self-hosted, any LLM.
Evidence-backed use cases, patterns, prompts, and starter code for TypeSafe Jev — a System One model for fast, typed, confidence-aware decisions in software.
Seamlessly invoke Amazon Bedrock or your custom models, enabling a smooth experience with AWS GenAI services.
Java 8+ agentic SDK: unified LLM access (OpenAI/Anthropic/DashScope/Doubao/DeepSeek...),unified AI service(image/video/audio...), Tool Calling, MCP, RAG, SKILLS,Agent Runtime, A2A, agent blueprint, agent harness, and a built-in Coding Agent CLI/TUI/ACP.
ACI.dev is the open source tool-calling platform that hooks up 600+ tools into any agentic IDE or custom AI agent through direct function calling or a unified MCP server. The birthplace of VibeOps.
That's all 25 repositories in this period.