@Yuancheng: ➤ 最近还是不断有新的 Agent Harness 思路和实践在出现。 这两天看到 **OpenSquilla**,一个开源、能本地托管的 AI Agent。 ① 它有智能模型路由——同样的任务,token 成本比 OpenClaw 省 …
摘要
OpenSquilla 是一个开源、可本地托管的 AI Agent,具有智能模型路由功能,可在不同模型间分配任务以节省 token 成本,并引入 MetaSkill 机制让 Agent 自动组织技能。
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缓存时间: 2026/06/03 23:55
➤ 最近还是不断有新的 Agent Harness 思路和实践在出现。
这两天看到 OpenSquilla,一个开源、能本地托管的 AI Agent。
① 它有智能模型路由——同样的任务,token 成本比 OpenClaw 省 60-80%,跑任务时还有个「老虎机」动画告诉你这一单省了多少钱。
路由省的不只是钱:现在各家模型各有所长、价格也不一样,benchmark 高低跟具体任务上的表现还常常对不上。
与其死磕单一最强模型,不如按任务把活派给最合适的那个——它真正在优化的,是「每块钱 token 换回多少智能」。
② 刚发布 MetaSkill。简单说,它是「Skill 的 Skill」——一份告诉模型怎么检索、筛选、组合原子 Skill 的元 markdown。
因为单个 Skill 只干一件事,搜索归搜索,文档归文档。用户自己当调度员,脑子里一直装着下一步该使唤哪个,Skill 一多就会手忙脚乱。
MetaSkill 接管了这个「项目经理」的角色——由它来安排哪些步骤可以并行、哪些只能串行,让 Agent 学会自己组织技能。
③ 还有 meta-skill-creator:一句话需求,自动合成一个新的 meta-skill,手写 30 分钟的活压到 3 分钟。等于是 Agent 自己造技能。
➤ Why now?三件事撞到了一起:模型已经听得懂复杂的多步骤编排指令;社区 Skill 在爆发式增长,多到必须有个更高的抽象层来筛;大模型在线 trial-and-error 依然太贵,得把优化前置到 Skill 组织层。
这三条线指向同一点——Agent 要解决的问题,正在从「会不会调用工具」变成「会不会组织工具」。
**➤ 更深一层:**Harness 这层会不会只是个过渡概念、迟早被更强的模型吃掉?
我倒不这么看——只要模型还在分化、技能和工具还在指数级变多,「怎么组织、怎么调度」就是个不会消失的问题。
很有趣的方向。
GitHub:
opensquilla/opensquilla
Source: https://github.com/opensquilla/opensquilla
OpenSquilla — Token-Efficient AI Agent
Same budget, more capability, better results.
A microkernel AI agent for your CLI, Web UI, and chat channels.
Overview
OpenSquilla is a token-efficient, microkernel AI agent. A local model router sends each turn to the cheapest model that can handle it, while persistent memory, a layered sandbox, built-in web search, and on-device embeddings round out a single shared turn loop.
Every entry point — Web UI, CLI, and chat channels — runs through that same loop, so tool dispatch, retries, and decision logging behave identically everywhere. A pluggable provider layer speaks to OpenRouter, OpenAI, Anthropic, Ollama, DeepSeek, Gemini, Qwen/DashScope, and 20+ other LLM providers with no change to your code or config schema.
OpenSquilla 0.3.1 is the current release.
For task-oriented product documentation, start with the OpenSquilla Product Guide or the documentation index.
Installation
OpenSquilla runs on Windows, macOS, and Linux. Pick the path that matches your use case.
Windows portable and Quick terminal install give you a prebuilt
release — no Git required. The other two — Install from source
and Develop from source — build from a Git checkout (git clone +
Git LFS).
Release install commands use published GitHub release assets. The
Windows portable zip also has a /releases/latest/download/ alias for
the current release. Python wheel installs use versioned wheel filenames
because installers validate the version embedded in the wheel filename.
| Path | Audience | When to use |
|---|---|---|
| Windows portable | Windows users | No Python toolchain; one-zip launch |
| Quick terminal install (recommended) | End users on any OS | Release wheel from a terminal |
| Install from source | Users tracking main | Run from a checkout, not edit it |
| Develop from source | Contributors | Edit, test, or debug the source |
Prerequisites
| Requirement | Windows portable | Quick terminal install | Install from source | Develop from source |
|---|---|---|---|---|
| Python 3.12+ | bundled | via uv | via uv or system | via uv |
| Git + Git LFS | — | — | required | required |
uv | — | installed if missing | recommended | required |
The default recommended profile installs SquillaRouter —
OpenSquilla’s on-device model router — and its model assets;
OPENSQUILLA_INSTALL_PROFILE=core omits those dependencies. The
separate --router disabled onboarding flag keeps the dependencies
installed but turns the router off at runtime.
On Windows, SquillaRouter’s bundled ONNX runtime also needs the Visual
C++ runtime. The Windows portable launcher and the from-source
PowerShell installer install it automatically via winget; the
Quick terminal install (uv tool install) path does not — if
startup logs a DLL load failed error, install it manually (see
Troubleshooting). OpenSquilla keeps running with
direct single-model routing until it is installed.
Install links: Git · Git LFS · uv.
Windows portable (no Python)
The fastest path on Windows — the zip ships a bundled CPython runtime, so no separate Python install is required.
- Download the current portable zip: https://github.com/opensquilla/opensquilla/releases/latest/download/OpenSquilla-windows-x64-portable.zip
- Extract it to a writable folder such as Downloads or Documents,
then right-click
Start OpenSquilla.cmdand choose Run as administrator. - Complete the first-run setup, then open http://127.0.0.1:18791/control/.
Preview builds are unsigned; administrator launch is the supported path. If SmartScreen appears, choose More info → Run anyway. If Smart App Control or enterprise policy blocks the unsigned app, use Quick terminal install instead.
Advanced portable usage
Provide an OpenRouter key before first start:
$env:OPENROUTER_API_KEY="sk-..."
Set-ExecutionPolicy -Scope Process Bypass
.\start.ps1
If OPENROUTER_API_KEY is set and no local config exists, the launcher
writes an env-reference config and starts the gateway without
prompting. If unset, the onboarding wizard lets you pick any supported
provider.
The portable zip does not install a global opensquilla command. For a
terminal where opensquilla … works, run OpenSquilla Shell.cmd, or
call the bundled launcher directly:
.\opensquilla.cmd onboard --provider openrouter --api-key-env OPENROUTER_API_KEY
Quick terminal install
The recommended path on Windows, macOS, and Linux. uv installs
OpenSquilla into its own isolated environment and manages its own
Python — no system Python required. This path installs published
releases only; for main, development branches, or local checkouts
use Install from source.
1. Install uv — skip if uv --version already works.
Linux / macOS:
curl -LsSf https://astral.sh/uv/install.sh | sh
. "$HOME/.local/bin/env"
Windows PowerShell:
powershell -c "irm https://astral.sh/uv/install.ps1 | iex"
$env:Path = "$env:USERPROFILE\.local\bin;" + $env:Path
2. Install OpenSquilla — the same command on every platform.
uv tool install --python 3.12 "opensquilla[recommended] @ https://github.com/opensquilla/opensquilla/releases/download/v0.3.1/opensquilla-0.3.1-py3-none-any.whl"
This installs the OpenSquilla wheel from the release URL, then lets
uv download the dependencies declared by the selected extras. The
default recommended extra includes SquillaRouter runtime dependencies
such as ONNX Runtime, LightGBM, NumPy, and tokenizers, so a first install
needs network access unless those wheels are already cached.
3. Configure and run.
opensquilla onboard
opensquilla gateway run
If
opensquillais not found right after a freshuvinstall, open a new terminal, or re-run the PATH line from step 1.
For a fully pinned install, use the versioned wheel URL:
https://github.com/opensquilla/opensquilla/releases/download/v0.3.1/opensquilla-0.3.1-py3-none-any.whl.
Install from source
Use this path to run OpenSquilla from a checkout without editing it.
The clone is only the package source for the installer; after install,
use the opensquilla command — do not run uv run. Choose
Develop from source instead if you intend to
modify the code.
-
Clone with LFS assets
git lfs install git clone https://github.com/opensquilla/opensquilla.git cd opensquilla git lfs pull --include="src/opensquilla/squilla_router/models/**" -
Run the installer
macOS / Linux
bash scripts/install_source.shWindows PowerShell
powershell -ExecutionPolicy Bypass -File ./scripts/install_source.ps1The script installs
.[recommended](SquillaRouter + memory + local models) into a dedicated user environment viauv tool install, falling back topython -m pip install --userwhenuvis unavailable. Open a new terminal ifopensquillais not onPATHafter install. -
(optional) Install advanced extras. Most channels — Feishu, Telegram, DingTalk, QQ, WeCom, Slack, and Discord — work from the base install. The opt-in extras are:
matrix— Matrix channel (pulls inmatrix-nio)matrix-e2e— Matrix channel with end-to-end encryption (requires libolm)document-extras— PDF generation via WeasyPrint
OPENSQUILLA_INSTALL_EXTRAS=matrix bash scripts/install_source.sh # macOS / Linuxpowershell -ExecutionPolicy Bypass -File ./scripts/install_source.ps1 -Extras matrix # Windows -
Configure and run — see Configuration.
Install from source — terminal prerequisites and installer options
Install prerequisites (Git, Git LFS, uv) from a terminal
Windows PowerShell:
winget install --id Git.Git -e
winget install --id GitHub.GitLFS -e
powershell -ExecutionPolicy Bypass -c "irm https://astral.sh/uv/install.ps1 | iex"
git lfs install
macOS (Homebrew):
brew install git git-lfs uv
git lfs install
Debian / Ubuntu:
sudo apt update && sudo apt install -y git git-lfs
curl -LsSf https://astral.sh/uv/install.sh | sh
git lfs install
On Fedora use sudo dnf install -y git git-lfs; on Arch use
sudo pacman -S --needed git git-lfs; then install uv with the
curl command above. PATH changes from these installers apply to new
terminal sessions.
Installer environment variables and PATH checks
OPENSQUILLA_INSTALL_PROFILE=core bash scripts/install_source.sh # minimal runtime, no SquillaRouter
OPENSQUILLA_INSTALL_DRY_RUN=1 bash scripts/install_source.sh # print the plan only
Verify which opensquilla your shell runs with command -v opensquilla (macOS/Linux) or where.exe opensquilla (Windows). If it
is not on PATH, run uv tool update-shell. After reinstalling from a
local checkout, restart the gateway so it loads the updated package.
Develop from source
Use this path when you are working on OpenSquilla’s source code:
making changes, running tests, or debugging behavior against this
checkout. It is not the normal install path. Unlike
Install from source, this path requires uv:
uv sync creates a repository-local .venv, and uv run executes
commands against the files in this checkout.
uv sync --extra recommended --extra dev
uv run opensquilla --help
The recommended extra includes SquillaRouter for development too;
the dev extra installs the test, lint, and typecheck tools. Install
additional extras into the same environment you run:
uv sync --extra recommended --extra dev --extra matrix
uv run opensquilla channels status matrix --json
In this mode, prefix every opensquilla command in
Configuration with uv run. Do not debug a
development checkout through a user-local opensquilla command — that
command runs in a different Python environment.
Configuration
First-run setup
opensquilla onboard is the interactive first-run wizard. It writes
the active config file and keeps provider secrets in environment
variables when you pass --api-key-env. The router defaults to
recommended (SquillaRouter on supported providers); pass
--router disabled for direct single-model routing.
opensquilla onboard # full interactive wizard
opensquilla onboard --if-needed # idempotent: safe for scripts and re-installs
opensquilla onboard --minimal # provider only; skip channels and search
opensquilla onboard status # inspect every setup section without writing
In SSH, CI, or any environment without a TTY, use the non-interactive form — keep the secret in the environment and pass its name, not its value:
Linux / macOS
export OPENROUTER_API_KEY="sk-..."
opensquilla onboard --provider openrouter --api-key-env OPENROUTER_API_KEY
Windows PowerShell
$env:OPENROUTER_API_KEY="sk-..."
opensquilla onboard --provider openrouter --api-key-env OPENROUTER_API_KEY
OpenRouter is only an example — substitute any supported provider and its API-key variable.
Re-configure one section later without redoing the whole wizard (these examples assume the relevant API key is already in the environment):
opensquilla configure provider --provider openai --model gpt-4o --api-key-env OPENAI_API_KEY
opensquilla configure router --router recommended
opensquilla configure search --search-provider brave --api-key-env BRAVE_SEARCH_API_KEY
opensquilla configure channels
Sections: provider, router, channels, search,
image-generation, memory-embedding. The Web UI exposes the same
catalog and status model at /control/setup: Provider and Router are
the fast path, while Channels, Search, Image generation, and Memory
embedding sit in the Capability Center and can be configured later.
Empty channels are treated as an opt-out, not a failed setup.
Config load order: OPENSQUILLA_GATEWAY_CONFIG_PATH →
./opensquilla.toml → ~/.opensquilla/config.toml → built-in
defaults. Environment values for individual secrets always win over
file values.
Migrate from OpenClaw or Hermes Agent
If you already have state under ~/.openclaw or ~/.hermes, run a
dry run first to inspect the migration report, then apply it explicitly:
opensquilla migrate openclaw --json
opensquilla migrate openclaw --apply
opensquilla migrate hermes --json
opensquilla migrate hermes --apply
Use opensquilla migrate --source openclaw,hermes --apply to import
both default homes. Add --migrate-secrets only after reviewing the dry-run
report. See MIGRATION.md for custom paths and conflict
handling.
Run
opensquilla gateway run # foreground, 127.0.0.1:18791
opensquilla gateway start --json # background + health wait
opensquilla chat # interactive REPL
opensquilla agent -m "your prompt" # one-shot, automation-friendly
Open the Web UI at http://127.0.0.1:18791/control/. The Health view shows whether OpenSquilla is ready, what is not ready, and the next recovery steps. From the CLI, run:
opensquilla doctor
opensquilla doctor --json
opensquilla doctor --config ./opensquilla.toml --json
/health and /healthz are lightweight liveness endpoints for process
checks. opensquilla doctor and the Web UI Health view are the readiness
surfaces for provider config, memory, logs, search, channels, sandbox
posture, router, image generation, and recovery guidance. Press
Ctrl+C to stop a foreground gateway.
Other command groups include sessions, skills, memory, migrate,
cron, channels, providers, models, and cost. Run
opensquilla --help or opensquilla <group> --help for details.
Advanced configuration — verify a channel, public network binding, Docker
Connect and verify a messaging channel
Channel saves are config changes, not runtime-connectivity proof. Restart the gateway after channel edits, then verify the live channel:
opensquilla gateway restart
opensquilla channels status <name> --json
Treat a channel as connected only when the status payload reports
enabled=true, configured=true, and connected=true. Feishu
defaults to websocket mode, Telegram to polling, and Slack can use
Socket Mode — none of those modes needs a public URL. Feishu webhook
mode, Telegram webhook mode, Slack webhook mode, and WeCom require a
public, provider-reachable URL.
Public network binding
To reach the Web UI from another machine, bind the gateway to all interfaces and use the host’s public IP:
opensquilla gateway run --listen 0.0.0.0 --port 18791
Public access also requires the host firewall or cloud security group
to allow inbound TCP on that port. Do not expose the gateway with
[auth] mode = "none" — configure token auth before binding to
0.0.0.0.
Docker
The compose path runs an opensquilla:local image you build yourself.
Build it from a source checkout with the Git LFS router assets pulled
(see Install from source for the clone and
git lfs pull):
docker build -t opensquilla:local .
./start.sh (or start.ps1 on Windows) then runs docker compose up -d and tails the gateway logs. Docker avoids a host Python
toolchain — not the local image build.
Provider tiers, sandbox tuning, image generation, and concurrency
settings live in opensquilla.toml.example.
What’s New in 0.3.1
OpenSquilla 0.3.1 is a maintenance release for the 0.3 line. It updates the stable install metadata and brings selected channel, chat, provider, and workflow fixes from the integration branch onto the stable release line:
- Channel setup and replies — Slack Socket Mode, app mentions, signing secrets, and threaded replies preserve the channel context needed for setup and replies.
- Media and voice workflow handoffs — short-drama/video helper workflows remain bundled, generated media flows have clearer review pauses, and voice/audio handoffs are usable end to end.
- Chat formatting — user message bubbles preserve multiline text and read like authored messages instead of compressed UI labels.
- Provider request hardening — malformed tool-call history is kept away from providers before it becomes invalid request state.
- Install and release checks — installer URLs, release metadata, version consistency tests, and CI impact gates are updated for 0.3.1.
Full notes: CHANGELOG.md ·
docs/releases/0.3.1.md.
What’s New in 0.2.1
OpenSquilla 0.2.1 is a maintenance release focused on release-package startup and long-running agent reliability:
- Windows portable startup — the portable launcher better detects and bootstraps the Visual C++ runtime needed by the bundled ONNX router.
- Long-running agent turns — tool-heavy WebUI sessions recover more cleanly from oversized tool results, malformed tool calls, artifact delivery handoffs, and degraded final responses.
- Cleaner WebUI output — generated artifact markers are kept out of normal chat replay while delivered files remain visible.
- Memory recall scoring — local and OpenAI-compatible embedding vectors are normalized before semantic search, and strong keyword matches remain usable when vector scores are low.
Full notes: CHANGELOG.md ·
release notes.
What’s New in 0.2.0
This release expands OpenSquilla across migration, CLI chat, channels, scheduling, and long-running tool work:
- Migration path from existing agent homes —
opensquilla migratepreviews and applies imports from existing OpenClaw/Hermes homes, including memory, persona files, skills, MCP/channel config, conflict handling, and migration reports. - Usable chat CLI —
opensquilla chatnow has a persistent terminal UI, streaming output, queued input, slash-mode discovery, tool/status strips, and more deterministic live prompt behavior. - Cross-surface cron automation — cron jobs now cover structured schedules, timezone-aware exact/every/cron runs, channel or webhook delivery, failure destinations, manual runs, and WebUI/CLI/RPC parity.
- Better Feishu and Discord channels — channel adapters expose clearer capability metadata, safer DM/group handling, native file and artifact paths, and improved attachment/thread behavior while privileged actions stay scoped.
- Sturdier long-running turns — failed turns are kept out of provider replay, malformed tool calls are handled more safely, and approval-gated retries wait for operator decisions.
- Smarter context and tool budgeting — provider-budget compaction, prompt cache preservation, bounded tool results, and side-effect-aware concurrency make large tool-heavy sessions more predictable.
- Web UI and release polish — recency ordering, table layout, mobile controls, duplicate notifications, setup forms, release URLs, and install paths are tightened for 0.2.0.
Full notes: CHANGELOG.md ·
release notes.
Key Features
| Capability | What it does |
|---|---|
| Token-efficient routing | SquillaRouter — a local LightGBM + ONNX classifier in the recommended extra — scores each turn on length, language, code, keywords, and semantic embeddings, then routes it across four tiers (T0–T3) to the cheapest capable model. Classification runs on-device; your prompt never leaves the machine to make that decision. |
| Adaptive reasoning and prompts | OpenSquilla requests extended reasoning only for turns the router scores as complex, and the system prompt scales with task complexity — lightweight for trivial turns, full instructions for complex ones. |
| 20+ LLM providers | The provider registry targets 20+ LLM backends — OpenRouter, OpenAI, Anthropic, Ollama, DeepSeek, Gemini, DashScope/Qwen, Moonshot, Mistral, Groq, Zhipu, SiliconFlow, vLLM, LM Studio, and more, with primary-plus-fallback selection; first-run onboarding exposes the verified subset. |
| On-demand skills and MCP | 15 bundled skills (coding, GitHub, cron, pptx/docx/xlsx/pdf, summarization, tmux, weather, and more) load only when the task needs them. OpenSquilla is an MCP client, and can also run as an MCP server — opensquilla mcp-server run needs the mcp extra (install opensquilla[recommended,mcp]). Skills can be authored, installed, and published from the CLI. |
| Persistent local memory | A curated MEMORY.md plus dated Markdown notes, searched with SQLite full-text keyword search and sqlite-vec semantic recall. Embeddings run on-device via bundled ONNX, or swap to OpenAI/Ollama. Optional exponential decay and opt-in “dream” consolidation are available. |
| Layered security sandbox | Three policy tiers (Standard / Strict / Locked) on a permission matrix. Bubblewrap isolates code execution on Linux; the macOS Seatbelt backend currently renders profiles only (execution pending), and there is no sandbox backend on Windows yet. A denial ledger auto-pauses autonomous runs after repeated denials, rejected outputs are purged, and skill metadata and tool results are XML-escaped against prompt injection. |
| Built-in tools | File read/write/edit, shell and background processes, git, web search (Brave or DuckDuckGo) and fetch behind an SSRF guard, spreadsheet/PPTX/PDF authoring, image generation, and text-to-speech. |
| Unified gateway | A Starlette ASGI server on 127.0.0.1:18791 with WebSocket RPC and an embedded control console (/control/). Web UI, CLI, and channels for Terminal, WebSocket, Slack, Telegram, Discord, Feishu, DingTalk, WeCom, Matrix, and QQ all share one TurnRunner. |
| Durable sessions, subagents, and scheduling | SQLite-backed session, transcript, and replay storage with per-agent workspaces. Agents spawn depth-bounded subagents, and a SchedulerEngine with an in-tree cron parser runs recurring jobs via opensquilla cron. |
| Operator controls | Human-in-the-loop approvals can pause sensitive tool calls for a decision; per-turn and per-session token and cost rollups (opensquilla cost) and diagnostics are available from the CLI and Web UI. |
MetaSkill docs: docs/features/meta-skills.md,
docs/features/meta-skill-user-guide.md,
and docs/authoring/meta-skills.md.
Benchmark Results
PinchBench 1.2.1 average results across 25 tasks:
| Agent | Base Model | Avg. score | Total input tokens | Total output tokens | Total cost |
|---|---|---|---|---|---|
| OpenSquilla | Model router (Opus4.7, GLM5.1, DS4 Flash) | 0.9251 | 1,721,328 | 61,475 | $0.688 |
| OpenClaw | Claude Opus 4.7 | 0.9255 | 3,066,243 | 50,890 | $6.233 |
Score is the mean across the 25 tasks; token counts and cost are totals for the full run.
Troubleshooting
Windows: DLL load failed / Visual C++ runtime
If startup logs DLL load failed while importing onnxruntime_pybind11_state, OpenSquilla keeps running with direct
single-model routing, but the bundled SquillaRouter runtime stays
inactive until the Visual C++ Redistributable for Visual Studio
2015–2022 (x64) is installed.
The Windows portable launcher and the from-source PowerShell installer
attempt to install the redistributable via winget. If you used Quick
terminal install, or winget is unavailable, install it manually and
restart PowerShell: https://aka.ms/vs/17/release/vc_redist.x64.exe.
Then restore the recommended router:
opensquilla onboard --provider openrouter --api-key-env OPENROUTER_API_KEY --router recommended
opensquilla gateway restart
Credits
OpenSquilla is inspired by
OpenClaw. Bundled third-party
content is attributed in
THIRD_PARTY_NOTICES.md.
Community contributors are acknowledged in
CONTRIBUTORS.md, including release-specific attribution
notes for squash-merged or replayed work.
Contributing
Contributions of every kind are welcome — bug reports, feature ideas,
documentation, new provider or channel adapters, skills, and core
runtime work. See CONTRIBUTING.md, then open an
issue or pull request on
GitHub.
Code of Conduct · Security · Support · License (Apache-2.0)
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作者分享了使用 OpenClaw 搭建多智能体团队时遇到的 token 浪费、死循环等问题,并发现 helioim_ai 通过给每个 AI 独立身份和职责边界,实现了更高效的人机协作,还具备夜间“做梦”自我改进机制。
@seclink: 冷知识:如果你想开始搞 属于自己(和自己公司的)类似 openclaw 的 AI harness Agent 产品,你可以从 pi-mono 开始搞起 ... 通常情况下,你可以在你自己的 AI harness Agent 里内置一个免费…
本文介绍了如何从pi-mono开始构建类似openclaw的AI harness Agent产品,并通过内置免费网关将获客成本降至0.1元/人。