ToolAI.io · Canale GitHub
Un indice basato sui fatti di progetti di sviluppo LLM, agenti, MCP, RAG e AI, con licenza, configurazione, download, screenshot e risorse correlate per ogni voce.
Dati del repository pubblico
langwatch/langwatch
An open-core platform for evaluating, testing, tracing, and monitoring LLM applications and AI agents before release and in production.
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.
future-agi/future-agi
An open-source, self-hostable platform for evaluating, tracing, simulating, protecting, routing, and optimizing LLM and AI-agent applications.
henrydaum/second-brain
Second Brain is an agentic framework that acts as an operating system, using local file intelligence, workflow automation, and LLMs to complete tasks and communicate over multiple modalities and messaging platforms.
reyamira/models
A TUI and CLI tool for browsing AI models, benchmarks, coding agents, and provider statuses.
sno-ai/llmix
A production LLM call layer for AI agents and tools that wraps existing provider SDKs with config-driven model presets, caching, resilience patterns, and key rotation across Python, TypeScript, and Rust.
browser-use/browser-use
Browser automation tooling that enables AI agents to interact with websites.
TauricResearch/TradingAgents
A multi-agent framework using language models to organize financial research workflows.
bytedance/deer-flow
An agent harness combining tools, memory and sandboxes for research, coding and content tasks.
Panniantong/Agent-Reach
A toolkit giving AI agents access to reading and search workflows across websites.
langchain-ai/langgraph
A stateful orchestration framework for agents that need branching, persistence, and human review.
taichuy/1flowbase
An open-source AI gateway that allows local agent clients to publish fusion-style multi-model workflows as OpenAI and Claude-compatible virtual models, providing full observability into traces, tokens, latency, and costs.
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