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gram

Skill Development Early

Securely scale AI usage across your organization. Control plane for building, securing and monitoring your agents, mcp and skills.

227 starsAGPL-3.0 (check with legal)FreeQuick setup
New Find — Recently discovered. Looks promising but has limited community feedback so far.

Scaling AI agent usage across an organization creates security, cost, and observability blind spots. Gram provides a control plane for building, securing, and monitoring agents, MCP servers, and skills — the governance layer enterprises need.

Enterprise platform teams responsible for AI agent rollout who need centralized security policies, usage monitoring, and cost controls.

Claude Code Claude Cowork Claude Chat

https://github.com/speakeasy-api/gram

By speakeasy-api

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → PluginsAdd plugin. Search and click Install. Skills work in Claude Code only.
Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.
Command
claude plugins install speakeasy-api/gram

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

CostFree

Trust Signals Auto-scanned

Stars227Contributors32Last updated2026-04-13LicenseAGPL-3.0 (check with legal)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-04-13 · scanner v1

Community Pulse Active

Discussed on Hacker News, Reddit

5 mentions across 2 sources

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 227 GitHub stars; 32 contributors; last commit 37d ago; license AGPL-3.0.

Things to check

  • License (AGPL-3.0) may restrict commercial use. Check with your legal team.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
1/5
Versatility
3/5
Reliability
5/5
Security
4/5
Overall score2.95 / 5.00 EarlyEvaluatedMay 2026
Scored from trust signals (evidence-eval-v1): 227 GitHub stars; 32 contributors; last commit 37d ago; license AGPL-3.0.

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