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Octomind

Open-source Rust agent runtime — install pre-wired domain specialists with one command, with adaptive compression and hard spending caps

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freemiumFree $0: free models only, $0.15/day allowance, half to 1 Tiny machine slot, 30 req/min API, 2 concurrent sessions, 2 GB storage. Pro $10 first month then $20/mo: all open coding models, $20/4h, $60/wk, $120/mo allowance, 3 machine slots, 180 req/min, 10 GB storage, up to 5 custom Docker images. Max $50 first month then $100/mo: $100/4h, $300/wk, $600/mo, 12 slots, 300 req/min, 30 GB, 20 custom images. Team $500/mo flat for the whole team: $500/4h, $1,500/wk, $3,000/mo shared pool, 60 slots, 600 req/min pooled, 100 GB, unlimited members by invite. Premium models (Claude, GPT) run on prepaid credits at published per-token prices with a $5 minimum top-up, 0% markup on fees, and credits never expire.View full pricing →

Visit Octomind

https://octomind.run

About Octomind

Octomind is an open-source agent runtime built on the premise that you should install specialist agents, not wire up frameworks. One command — `octomind run doctor:blood` or `octomind run devops:kubernetes` — installs a specialist pre-wired with the right model, MCP servers, and prompts by domain experts, working the way Homebrew does for command-line tools. Its Tap registry carries around 48-50 specialists across 12 domains including law across nine jurisdictions, medicine, engineering, devops, finance, security, content, and launch, and you can build and publish your own. It targets four specific problems. Config wars: stitching three tools together with glue code nobody wants to own, with no central registry or quality signal. Generic AI failing in expert domains: wrong drug dosages and hallucinated case citations. Sessions degrading at hour four, where naive truncation drops the decisions you actually need — Octomind's answer is cache-aware, structurally preserving adaptive compression that saves around 72.5% of tokens and only triggers when it saves money. And surprise bills: per-request and per-session hard spending caps that stop, fall back, or warn before the money is gone. It supports 13+ providers including OpenRouter, OpenAI, Anthropic, DeepSeek, Google, and Ollama, with mid-session model switching via /model and instant provider swaps when you hit a rate limit, no restart and no lost context. Agents register new MCP servers at runtime without config edits. It ships as a single Rust binary that installs in about 30 seconds, is Apache 2.0 licensed, and pairs the Hub (hosted models) and Cloud (machines) under one subscription.

Key Features

Tap registry of 48+ domain specialists across 12 domains
One-command install of a specialist with model, MCP servers, and prompts pre-wired
Adaptive compression saving ~72.5% of tokens, cache-aware and only when it saves money
Hard per-request and per-session spending caps
13+ providers with mid-session model and provider switching
Dynamic MCP — agents register new servers at runtime with no restart
Single Rust binary, ~30 second install, Apache 2.0
Hub (hosted models) and Cloud (machines) on one subscription

Octomind Pros & Cons

Pros

  • +Apache 2.0 open source with a real free tier
  • +Spending caps are enforced rather than advisory
  • +Provider swap on a rate limit without losing session context
  • +Single binary with no framework to assemble

⚠️ Cons

  • Expert-domain specialists (lawyer, doctor) carry obvious liability risk if trusted uncritically
  • Free tier's $0.15/day allowance is barely more than a demo
  • Premium models require prepaid credits on top of the subscription
  • Small community — 91 GitHub stars at time of listing

Who Is Octomind Best For?

👤Developers who want a working specialist agent without wiring MCP servers by hand
👤Teams burned by runaway agent bills who need hard caps
👤Anyone running long multi-hour agent sessions that degrade on context truncation

Tags

agent runtimeopen sourcerustmcpspecialist agentsapache 2.0multi-provider
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