FlexLlama – Run Multiple Local LLMs with a Dashboard
A lightweight self-hosted tool that runs multiple llama.cpp server instances simultaneously, with OpenAI v1 API compatibility and a real-time GPU dashboard.
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25 posts tagged #llm
Browse 25 posts tagged LLM, including practical setup notes, reviews, comparisons, and workflow patterns for engineers working with AI tools.
A lightweight self-hosted tool that runs multiple llama.cpp server instances simultaneously, with OpenAI v1 API compatibility and a real-time GPU dashboard.
RΞASON is a minimalistic TypeScript framework for building LLM apps with structured outputs, function-based agents, streaming, and zero-config OpenTelemetry observability.
RapidFire AI is an open-source experiment execution framework for LLM customization — RAG, fine-tuning, and post-training — delivering 16–24x throughput over sequential pipelines.
Forge is a Python reliability layer that wraps self-hosted LLM backends with tool-calling guardrails, pushing an 8B model from 53% to 84%+ success on agentic tasks.
UpTrain is an open-source platform to evaluate and improve LLM applications with 20+ pre-built checks for response quality, factual accuracy, jailbreak detection, and more.
Open-source web scraping API that converts any URL into clean Markdown or structured data for AI agents. Supports search, scrape, crawl, and map endpoints with LLM-ready output.
One API to route across OpenAI, Anthropic, Google, and more. Sudo handles context management and monetization so developers can focus on building AI products.
Vocode is an open-source Python library for building real-time voice-based LLM applications. Deploy to phone calls, Zoom meetings, and more. MIT licensed, 3.7k stars.
Self-hostable tools for testing prompts, LLMs, and vector databases from code or a local Streamlit playground. Apache-2.0 licensed.
Open-source platform for extracting structured data from unstructured documents using LLMs. Deploy as API or ETL pipeline.
Measure how well your hardware runs local AI models. Open-source benchmark tests prompt speed, generation speed, and time-to-first-token for LLMs.
Parastore is a synthetic-consumer retail sandbox where you draw a store, generate LLM personas, and watch them shop an isometric 3D space with pathfinding and per-aisle analytics.
Learn how journal-adapt-writing-skill turns a manuscript and a target journal's papers into an auditable dynamic writing skill for Claude Code and Codex revision work.
Skyvern is an open-source AI agent that automates complex browser-based workflows using LLMs, supporting multi-step tasks, form filling, and API integrations.
A curated directory of 316 tools for building AI agents, LLMs, and RAG pipelines. Browse by category, use case, and stack.
TokenSpeed targets agentic LLM inference with static-compiler parallelism, KV-safe scheduling, and aggressive Blackwell-era performance goals in its preview release.
Drop Karpathy's viral CLAUDE.md skill into Claude Code or Cursor — 4 behavioral principles that kill over-engineering, drive-by refactors, and assumption bugs.
raiyanyahya/how-to-train-your-gpt teaches modern decoder-only LLM internals with a 12-chapter walkthrough, runnable notebooks, a commented `main.py`, and fine-tuning guides aimed at Python developers.
Airbolt is a zero-backend LLM SDK that drops a working AI chat into any React app in three lines. Bring your own OpenAI keys; the SDK encrypts them with AES-256-GCM and rate-limits per user.
Parastore turns shelf plans and product catalogs into 3D store simulations where shopper personas move, browse, and buy for synthetic consumer testing.
Langtail is a collaborative prompt management platform that lets teams build, test, and deploy AI prompts with a spreadsheet-like interface, evaluation tools, and an AI firewall.
Crawl, chunk, and vectorize any website into a queryable knowledge base. REST API with collections, scheduled updates, and built-in RAG for LLM applications.
Rivet is an open-source desktop IDE from Ironclad for building, debugging, and deploying LLM prompt graphs. Ships with a TypeScript runtime library.
Future AGI is a self-hostable platform for evaluating, observing, and improving LLM apps. Includes tracing, evals, simulation, datasets, an AI gateway, and.
Set up Raindrop Workshop for local agent traces, tool-call debugging, replay workflows, SQLite storage, instrumentation, and eval repair loops.