ToolAI.io · Chaîne GitHub

Nouveaux projets AI sur GitHub

Découvrez les nouveaux projets AI open source ajoutés sur GitHub, avec les informations du dépôt, les instructions de configuration, les licences et les ressources associées.

Données du dépôt public

Index du projet

27 Projets
Capture d’écran de LlamaIndex
Agents et multi-agents

LlamaIndex

run-llama/llama_index

LlamaIndex is an open-source Python data framework for building LLM applications with private data, offering data connectors, indexing structures, and advanced retrieval interfaces. It is complemented by LlamaParse, an enterprise platform for agentic OCR, parsing, extraction, and indexing.

★ 51,4K⑂ 7,9KPython
MITQ98
Capture d’écran de Headroom: Context Compression Layer for AI Agents
MCP et appels d’outils

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
Capture d’écran de Graphify: Turn Any Codebase into a Queryable Knowledge Graph
MCP et appels d’outils

Graphify: Turn Any Codebase into a Queryable Knowledge Graph

graphify-labs/graphify

Graphify is a local-first CLI tool and AI assistant skill that parses codebases, docs, SQL schemas, and PDFs into a queryable knowledge graph using deterministic AST parsing, eliminating the need for vector stores or embeddings.

★ 104K⑂ 10,1KPython
Apache-2.0Q98
Agents et multi-agents

PageIndex: Vectorless, Reasoning-Based RAG for Long Documents

vectifyai/pageindex

PageIndex is a Python project for creating hierarchical document indexes and performing reasoning-based retrieval without a vector database or artificial chunking. It supports self-hosted processing of PDF and Markdown documents, with optional agentic RAG examples and hosted MCP/API services.

★ 35K⑂ 3,1KPython
MITQ98
Agents et multi-agents

RAGFlow

infiniflow/ragflow

RAGFlow is an open-source Retrieval-Augmented Generation engine that combines document ingestion, retrieval, grounded citations, configurable language and embedding models, and agent capabilities to provide context for LLM applications.

★ 86,7K⑂ 10,2KGo
Apache-2.0Q98
Agents et multi-agents

Opik: Open-Source LLM Observability, Evaluation and Agent Tracing

comet-ml/opik

Opik is an Apache-2.0-licensed platform for tracing, evaluating, debugging and monitoring LLM applications, RAG systems and multi-step agent workflows. It supports self-hosting, a hosted Comet.com option, client SDKs, a REST API, automated evaluations, prompt experimentation and production dashboards.

★ 21,1K⑂ 1,7KPython
Apache-2.0Q98
Capture d’écran de NeuroLink
MCP et appels d’outils

NeuroLink

juspay/neurolink

A TypeScript integration platform providing a unified API for 30+ AI providers and 100+ models, enabling provider swapping, multi-modal voice processing, RAG, memory, and MCP-native tool integration.

★ 121⑂ 124TypeScript
MITQ93
Capture d’écran de PwrAgent
Agents et multi-agents

PwrAgent

pwrdrvr/pwragent

An open-source desktop coding agent that runs locally on a laptop and can be driven remotely via messaging platforms like Telegram, Discord, Slack, Mattermost, Feishu, Lark, or LINE.

★ 29⑂ 4TypeScript
MITQ86
Capture d’écran de Metronix Memory
MCP et appels d’outils

Metronix Memory

mtrnix/metronix-memory

Self-hosted memory infrastructure for AI agents featuring MCP-native integration, hybrid RAG, a temporal knowledge graph, and an ontology layer, designed for local-model friendliness and durable, agent-scoped context.

★ 39⑂ 7Python
Apache-2.0Q86
Capture d’écran de XERJ
Agents et multi-agents

XERJ

xerj-org/xerj

XERJ is a search engine for AI agents that automatically indexes code, documents, logs, and PDFs, enabling agents to query data rather than reading entire files into their context windows. It is Elasticsearch-compatible, allowing existing clients and tooling to work unchanged.

★ 1,4K⑂ 288Rust
Apache-2.0Q87
Capture d’écran de Infino
RAG et systèmes de connaissances

Infino

infino-ai/infino

Infino is a fast retrieval engine that executes SQL, full-text search, and vector search over a single copy of data stored natively as Parquet on object storage.

★ 67⑂ 18Rust
Apache-2.0Q89
Capture d’écran de STACKIT RAG Template
RAG et systèmes de connaissances

STACKIT RAG Template

stackitcloud/rag-template

A template for building AI chatbots and document management systems using Retrieval-Augmented Generation (RAG), vector search, and FastAPI, designed for deployment on Kubernetes.

★ 86⑂ 10Python
Apache-2.0Q89

Page 2 / 3 · 27 projets

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