Stop building your AI stack from 40 open tabs.
A curated map of open-source AI & agent tools — and what actually pairs with what.
14 repos · 5 topics · curated by ShipWithAI
CLI + agent-skills layer that turns your coding assistant into a Google Cloud agent-lifecycle expert: scaffold ADK projects, run and evaluate them, then deploy and publish to Gemini Enterprise.
Multi-agent conversation framework for building LLM applications with cooperating agents.
Open-source embedding database for building AI apps with retrieval.
Self-hosted, always-on "personal AI OS": watches your apps, keeps a persistent memory graph, and acts autonomously within guardrails — a product, not a library for building agents.
Orchestrate role-playing, autonomous AI agents that collaborate on tasks.
Program — don't prompt — your language models. Compile declarative pipelines into optimized prompts.
Build stateful, multi-actor LLM apps as graphs — durable execution, human-in-the-loop, streaming.
Trace, test and monitor LLM apps in production.
Data framework for connecting custom data sources to LLMs — ingestion, indexing, retrieval.
Run Llama, Mistral and other open models locally with a single command and a clean API.
Open toolkit that linearizes messy PDFs — scans, tables, equations, handwriting — into clean ordered Markdown with a self-hosted vision-language model. Built for LLM training data and RAG ingestion.
Open-source control plane for running fleets of heterogeneous AI agents as a "company" — bring your own agent, assign goals, org charts, budgets, governance, and an audited ticket system.
Evaluation toolkit for your RAG and agent pipelines — faithfulness, relevance, and more.
High-throughput, memory-efficient inference and serving engine for LLMs.