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🛠Open Source Ai Ecosystem by CodesbyFebin – all open-source AI agent & LLM stacks in one repo: LLM gateways, free LLM APIs, chat UIs, local models, inference, memory, agents, coding agents, RAG, vector DBs, observability.

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Open Source Ai Agentic Full Stack by CodesbyFebin

CI GitHub Pages License: MIT Projects Categories Evidence refresh GitHub stars

A curated, evidence-backed Awesome AI Agent & LLM Stack List for developers building AI assistants, agent workflows, and LLM applications.

Open Source Ai by CodesbyFebin is a searchable catalogue of open-source and source-available AI projects. Explore gateways and LLM routing, chat UIs, local models, inference servers, memory, agent frameworks, coding agents, code review, app builders, RAG, vector databases, evaluation, observability, backends, and templates.

This repository contains catalogue data, comparisons, and tested recipes. It does not bundle upstream code. Each project remains with its maintainers and under its own licence.

📖 Site: https://codesbyfebin.github.io/Open-Source-Ai/ · 🔎 Search & filter · 🧪 Recipes · 📅 Freshness report

70 projects · 14 categories · evidence refreshed weekly by pull request

image## Awesome AI Agent & LLM Stack List

Browse the catalogue by stack category. Each category page links to upstream projects, setup guides, licence evidence, deployment notes, hardware requirements, and freshness data where available.

Category What it covers Projects
Gateways & LLM Routing OpenAI-compatible gateways, routers, guardrail firewalls and free-LLM aggregators. 6
Chat UIs Self-hosted ChatGPT-style interfaces. 4
Local Models & Runtimes Run LLMs on your own laptop or server. 6
Inference & Serving High-throughput production model serving on GPUs. 4
Memory Long-term memory layers for agents and assistants. 4
Agent Frameworks Libraries for building single and multi-agent systems. 7
Coding Agents AI pair programmers and autonomous software agents. 5
Code Review Automated AI pull-request review. 2
Low-code App Builders Visual builders for LLM apps, agents and workflows. 4
RAG & Vector Databases Retrieval frameworks, document pipelines and vector stores. 7
Evaluation & Observability Tracing, evaluations and prompt management. 4
Backend & Infra Backends, databases and auth for AI products. 3
App Templates & Examples Ready-made AI apps and examples to copy. 1
CodesbyFebin Collection Hand-picked agent tools, MCP servers and experiments. 13

What this repository includes

  • A searchable, filterable catalogue of AI infrastructure and agent projects.
  • Category comparison pages with upstream links, licence details, deployment options, hardware notes, and evidence dates.
  • Tested recipes that combine selected open-source components into documented workflows.
  • A freshness report that makes repository changes and review-needed metadata visible.
  • Human-maintained catalogue data with generated documentation and search pages.

Quick start

git clone https://github.com/CodesbyFebin/Open-Source-Ai
cd Open-Source-Ai/recipes/local-chat
docker compose up -d        # Ollama + LiteLLM + Open WebUI, see recipes/local-chat/README.md

Freshness, evidence, and project status

A scheduled GitHub Actions workflow checks public repository evidence weekly and proposes changes in a pull request for human review. The report is a periodic snapshot, not real-time monitoring. A failed lookup is not treated as proof that a project has disappeared; check the upstream repository before relying on status or licence information.

Recipes

The local chat recipe combines Ollama, LiteLLM, and Open WebUI. Its CI smoke test validates the Compose setup and checks that a real prompt receives a response. Recipe pages state their own verification status and limitations, so review them before using a stack.

Frequently asked questions

Does this repository include the projects listed here? No. It links to upstream repositories and provides curated metadata, comparisons, and recipes.

Are all listed projects under the same licence? No. The MIT licence covers this catalogue's own content only. Each upstream project has its own licence; review its linked terms before use.

Is the freshness report live? No. Evidence is refreshed weekly through pull requests. Review the report's dates and upstream links for the latest available evidence.

Contributing

Edit catalog/projects.yaml (never the generated pages), run python scripts/build.py && python scripts/validate.py, and open a PR. See CONTRIBUTING.md.

License

The MIT LICENSE © CodesbyFebin covers only this repository's own curation, docs and code. Upstream projects are governed by their own licences – see CREDITS.md.

About

🛠Open Source Ai Ecosystem by CodesbyFebin – all open-source AI agent & LLM stacks in one repo: LLM gateways, free LLM APIs, chat UIs, local models, inference, memory, agents, coding agents, RAG, vector DBs, observability.

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