The AI control plane for every agent in your enterprise, built around an enterprise-grade MCP gateway. Give each team...
Copy the install, test the workflow, then decide if it earns a permanent slot.
Fresh repo activity plus visible builder pull. This is the kind of tool people test before it turns obvious.
Copy the install, test the workflow, then decide if it earns a permanent slot.
Reasonable to try, but it will take more than a quick skim to get real signal.
GitHub health unknown. no security policy. Fresh enough repo health and manageable issue load keep the risk controlled.
AI Agent
Universal
Model
Multiple
Fastest way to find out if gram belongs in your setup.
Copy the install command, run a real test, and back it out cleanly if it slows you down.
git clone https://github.com/speakeasy-api/gram ~/.claude/agents/gramRun this first. You will know quickly if the workflow earns a permanent slot.
rm -rf ~/.claude/agents/gramNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
~/ └─ .claude/ ├─ commands/ ├─ skills/ ├─ agents/ │ └─ gram/ ← installs here └─ settings.json
The AI control plane for every agent in your enterprise, built around an enterprise-grade MCP gateway. Give each team one governed path to its MCP servers, provisioned by role from the IdP you already run, with security policy enforced on every action.
Source: GitHub repository
Source check: October 24, 2026
Upstream commit: October 24, 2026
Repository state: Not marked archived
Honeystax upvotes are community interest signals, not star ratings. GitHub stars and repository health are source measurements; editorial risk and trial-cost notes are Honeystax analysis.