Extend coding-agent CLIs with skills, memory, and extension APIs via the Cyborgy MCP.
Project description
Cyborgy CLI
cyborgy extends coding-agent CLIs such as Claude Code and Codex with the
Cyborgy MCP, workspace roles, skills, memory, extension APIs, and temporary
tunnels.
This package provides:
cyborgy: the main CLI.cyborgy-mcp: the MCP server used by supported coding agents.cyborgy-devandcyborgy-mcp-dev: development-environment entry points.
Install
pip install cyborgy
For local Cyborgy development tooling:
pip install "cyborgy[dev]"
Basic usage
cyborgy login
cyborgy mcp install --target codex
cyborgy codex exec "summarize this repository"
cyborgy devin -- "review this repository"
cyborgy grok "fix the failing test"
The CLI stores login state locally and resolves MCP/skills into user-owned runtime state outside the current repository. Agent wrappers are available for Claude Code, Codex, Cursor Agent, GitHub Copilot CLI, Devin CLI, and Grok Build.
Clean workspace runtime
Normal wrapper launches and sync/install commands do not create .claude,
.codex, .cursor, .copilot, .devin, .grok, .cyborgy, .mcp.json, or
plugins/ paths in the working tree. Persistent workspace settings use the XDG
data directory and generated plugins/configuration use the XDG cache directory:
${XDG_DATA_HOME:-~/.local/share}/cyborgy/<profile>/workspaces/<workspace-key>/
${XDG_CACHE_HOME:-~/.cache}/cyborgy/<profile>/workspaces/<workspace-key>/
CYBORGY_DATA_HOME and CYBORGY_CACHE_HOME override those roots. Worker
sessions receive a session-specific cache overlay so concurrent agents in the
same repository cannot replace each other's supervisor skills.
Runtime loading is target-specific:
- Claude Code, Cursor Agent, and Copilot receive an external
cyborgy-workspacebootstrap plugin through--plugin-dir. - Copilot also receives the external MCP file through
--additional-mcp-config. - Codex receives the skill catalog and MCP definition through session config
overrides while preserving existing
developer_instructions. - Devin receives an external declarative
--agent-config; an explicitly supplied JSON/YAML agent config is merged with it. - Grok receives the external skill catalog through
--rulesand uses an idempotent user-scoped MCP entry in~/.grok/config.toml.
To intentionally create native project files for Git management, opt in:
cyborgy mcp install --target claude --project-local
cyborgy skills install <skill-id> --target claude --project-local
cyborgy workspace sync --target claude --project-local
Existing project-local files from older Cyborgy versions are never deleted automatically because they may already be tracked or user-edited. After upgrading, review and remove those legacy generated paths manually if they are not meant to remain in Git.
Agent model catalogs
cyborgy models list reports the model catalogs exposed by installed local
agent CLIs. By default it first opens a short-lived PTY and parses each tool's
interactive /model selector, because some tools only expose account-specific
choices there. Scriptable sources such as cursor-agent models,
codex debug models, and documented fallback aliases are used only when the
interactive selector cannot be parsed.
cyborgy models list
cyborgy models list --tool codex --json
cyborgy models list --no-fallback
cyborgy models list --no-interactive-probe
For tools that only expose account-specific choices through an interactive
model selector, the CLI uses a short-lived PTY probe by default and parses the
visible /model selector. Worker registration uses the same bounded probe so
the web model picker stays aligned with what the local tool can actually show.
Agent quota/usage reporting follows the same rule: Cyborgy parses structured
usage windows from short-lived interactive usage views when available, and
reports unknown instead of guessing when a tool does not expose parseable
limit, used, or remaining values.
Worker auto-update
cyborgy worker start is the launcher form: it starts or verifies one
background worker for the current profile, worker name, and repository root,
then exits 0. A second cyborgy worker start for the same context is a no-op
when that worker PID is still alive; stale pid records are replaced safely.
cyborgy worker and cyborgy worker run remain the foreground form for
supervised shells and debugging.
cyborgy worker stop stops only the managed background worker recorded by
cyborgy worker start for the same profile, worker name, and repository root.
It does not stop foreground worker run processes or search by process name;
stale or unverified PID records are cleared/refused without sending a signal.
cyborgy worker restart uses the same managed-worker safety checks, then starts
the worker again for that context.
Workers can opt into pip package auto-updates:
CYBORGY_WORKER_AUTO_UPDATE=1 cyborgy worker start
When enabled, the worker periodically asks the Cyborgy backend for the latest
cyborgy package version. If a newer version exists, it runs python -m pip install --upgrade cyborgy in a waited subprocess. The Python is resolved from
CYBORGY_WORKER_PYTHON, the configured/current cyborgy executable's shebang,
the active pyenv Python when the executable is a pyenv shim, or the current
PATH before falling back to sys.executable. After a
successful install, the worker stops polling for new commands, lets any current
agent subprocess finish, and re-execs itself at the next idle boundary through
CYBORGY_WORKER_EXECUTABLE or the current PATH's cyborgy wrapper. It does
not broad-kill processes or interrupt running agent commands.
To keep a development-extra install on the same release track, start the worker
with CYBORGY_WORKER_AUTO_UPDATE_PACKAGE=cyborgy[dev]. Version checks still use
the cyborgy distribution reported by the Cyborgy backend, while pip upgrades the configured package
spec (cyborgy by default, or cyborgy[dev] when requested).
Optional knobs:
CYBORGY_WORKER_AUTO_UPDATE_INTERVAL: seconds between checks, default 300 (5 minutes), minimum 60.CYBORGY_WORKER_AUTO_UPDATE_INITIAL_DELAY: seconds before the first check.CYBORGY_WORKER_AUTO_UPDATE_TIMEOUT: seconds before the pip install attempt times out.CYBORGY_WORKER_AUTO_UPDATE_PACKAGE: pip package spec, defaultcyborgy.CYBORGY_WORKER_AUTO_UPDATE_INDEX_URL: pip index URL for installation.CYBORGY_WORKER_EXECUTABLE: explicitcyborgywrapper to use for worker re-exec.CYBORGY_WORKER_PYTHON: explicit Python interpreter to use for auto-update installs.
Status
This is an alpha package. The public CLI surface is expected to evolve with the Cyborgy service.
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