The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Freellmpool
Free LLM gateway: 22 LLM providers, 178 enabled chat routes, 431 cataloged chat models; keyless start when available.
Install
uvx freellmpool ask --max-tokens 32 "Reply with one short sentence: freellmpool is ready."claude mcp add freellmpool -- uvx freellmpool ask --max-tokens 32 "Reply with one short sentence: freellmpool is ready."{
"mcpServers": {
"freellmpool": {
"command": "uvx",
"args": [
"freellmpool",
"ask",
"--max-tokens",
"32",
"\"Reply",
"with",
"one",
"short",
"sentence:",
"freellmpool",
"is",
"ready.\""
]
}
}
}Install command taken from the project's README or registry entry. Always review code before running it.
README excerpt
Read full README on GitHub →freellmpool
freellmpool catalogs 23 LLM providers as distinct groups spanning recurring free tiers, keyless endpoints, finite trials, pin-only routes, and disabled candidates. It exposes 178 enabled chat routes and 443 cataloged chat models, and automatically pools only enabled routes you can access behind one OpenAI-compatible endpoint — as a CLI, a Python library, or a local proxy. It can start without credentials when an enabled keyless route is available.
FAQ: where prompts go, ToS posture, failover, bans, and comparisons.
Release and distribution status
Latest release: 0.13.0. The GitHub release and PyPI package are both 0.13.0;
pip install freellmpoolanduvx freellmpoolinstall the audited provider catalog, bounded streaming and sentinel hardening, Hermes profile, proxy readiness/provider APIs,spreadrouting, and OpenCode registry-readiness hardening.Registry publication status: pending.
opencode-freellmpoolandopencode-freellmpool-tuiare tested but not published on npm as of 2026-08-29. Use their repository-local installation instructions for now.
30-second quickstart
Fresh install to first free-model reply is measured at about 19 seconds under the 30-second target on a clean Linux/Python 3.12 environment, with no API keys when a keyless provider is up:
# One command when uv is installed; no checkout or manually managed virtualenv:
uvx freellmpool ask --max-tokens 32 "Reply with one short sentence: freellmpool is ready."
Portable virtual-environment path:
python3 -m venv .venv
. .venv/bin/activate
python -m pip install --upgrade pip
python -m pip install freellmpool
freellmpool ask --max-tokens 32 "Reply with one short sentence: freellmpool is ready."
CI runs the same path from this checkout with
FREELLMPOOL_QUICKSTART_PACKAGE=. scripts/quickstart-test.sh.
The catalog covers provider-operated free tiers, keyless routes, and a few explicit finite-trial or disabled candidates. Eligibility and limits differ by provider. freellmpool automatically uses only enabled routes you can access, fails over when one is rate limited or down, and tracks local per-day usage.
Several providers (Pollinations, OVHcloud, and Kilo Gateway) need no API key, and LLM7 works without one, so the quickstart can answer without signup when a keyless provider is available.
To inspect your local provider keys, agent CLIs, proxy config, and Tailscale state before wiring tools, run the print-only init wizard:
freellmpool init --yes
freellmpool init --yes --agent opencode
freellmpool init --yes --agent metaswarm --tailnet
Add keys for the other providers to unlock more models and higher limits.
Local runtimes (explicit, pin-only)
LM Studio, Ollama, and llama.cpp can be previewed from a fixed list of literal loopback endpoints without scanning your LAN or processes:
freellmpool local discover
freellmpool local discover --name lm_studio
freellmpool local import --name lm_studio --yes
freellmpool ask --providers local_lm_studio --model "<model-from-discover>" "hello"
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