run any ai model. compose agents, stack knowledge, connect tools. one api, pay per run.

Inspect 1NFER models, crypto funding terms and task cost without keys or paid calls.

Jev-compatible API server for open decision models. Ollama for decision models: pull and serve 29 model families (Laya, pplx-decider, Clef, Winnow, coba...) locally or self-hosted behind /v1/systemone. The TypeSafe SDK works unchanged: set its base URL and pick an open model. CLI, desktop app, Docker, MCP server, public bench.

Persistent session memory for AI coding agents that never leaves your machine — including the on-device model that reasons over it. Restores your prior decisions, open TODOs, and changed files across sessions; adds associative recall of related past work,

Lemonade helps users discover and run local AI apps by serving optimized LLMs right from their own GPUs and NPUs. Join our discord: https://discord.gg/5xXzkMu8Zk

Context-Engine MCP - Agentic Context Compression Suite

A curated collection of top-tier penetration testing tools and productivity utilities across multiple domains. Join us to explore, contribute, and enhance your hacking toolkit!

Enables an AI agent to check live GPU prices, get a cost quote, rent a per-minute GPU instance, upload code and data, run jobs in the background, tail logs, download results and destroy the instance to stop billing. Includes guardrail limits on spend, hours and idle time, safe file transfer, and access to an OpenAI-compatible model API for inference without renting a GPU.

Open-source speech recognition toolkit for training, inference, streaming ASR, VAD, punctuation, speaker diarization pipelines, and OpenAI-compatible/MCP serving.

Find the cheapest API for any model and connect it from your AI agent: Grandet Skill and an anonymous MCP server, backed by listed prices from 1,800+ official, inference and relay providers on grandet.ai.

Enables MCP clients to coordinate local AI model runs by monitoring RAM, system commit, and VRAM, queueing tasks across clients, performing admission checks before inference, renewing leases, completing and releasing runs, and reporting status, history, and health while preserving original generation quality parameters. It also supports controlled start/stop and optional idle application memory reclamation.

Enables agents to store LLM query-response pairs and retrieve them via fuzzy cosine similarity matching, reducing duplicate inference calls; it exposes tools for setting cache entries, semantic lookup, and hit-rate statistics.

Pay-per-use LLM inference for agents: pay in USDC/USDT or per call via x402. 247 chat models.

Fit reports and search over Corey James's work: GPU inference, agent governance, enterprise AI.

Research, inference, data/web/email tools, and x402 conformance, service catalog and grade feeds.