Govern any AI coding agent โ local or cloud. One policy across Goose, Claude Code, Copilot, Codex, and Gemini. Mac with local models. Linux server with API drivers. Your rules, everywhere.
Local models on your Mac. API drivers on your server. One governance layer for all of it.
Local via Ollama (qwen3, mistral, phi4) on Mac/GPU Linux. Or use Claude, Copilot, Codex, Gemini APIs on headless servers. ShellForge governs them all.
Policy-as-code in agentguard.yaml. Block force-push, restrict file writes, enforce timeouts. Monitor mode โ enforce mode when ready.
One Go binary, zero dependencies. Each agent command runs and exits. Cron-safe. No background processes, no distributed systems, no complexity.
RTK strips 70-90% of terminal noise before the LLM sees it. KV cache quantization doubles agent capacity on 8GB Macs.
Govern any CLI agent โ Goose (local), Claude Code, Copilot CLI, Codex, Gemini. One governance policy across all drivers.
shellforge swarm โ YAML DAG workflows with web dashboard. Schedule agents, define dependencies, run a 24/7 swarm on your Mac or Linux box.
Between every tool call and your environment. The gatekeeper.
One governance policy. Any CLI agent. Every tool call checked.
| Driver | Command | Model | Status |
|---|---|---|---|
| Goose | shellforge run aider |
Local (Ollama) | governed |
| Claude Code | shellforge run claude |
Claude API | governed |
| Copilot CLI | shellforge run copilot |
GitHub Copilot | governed |
| Codex CLI | shellforge run codex |
OpenAI | coming soon |
| Gemini CLI | shellforge run gemini |
coming soon | |
| Built-in | shellforge agent |
Local (Ollama) | works now |
Seven technologies. One governed agent runtime. Here's how they fit together.
Governed runtime
The control layer
AI coding agent
Executes the work
Governance kernel
Enforces policy
Local LLM inference
Powers the model
Token compression
70-90% fewer tokens
Workflow orchestration
Schedules the swarm
Kernel sandbox
Isolates the process
Install. Setup. Forge.