"Vibe-Trading: Your Personal Trading Agent"
AI control plane for agents, MCPs, and skills
Gram is a full control plane for company-wide AI usage, not a small add-on. It connects agents to MCPs, applies permissions and policy checks, records usage and costs, and distributes skills and assistants through the organization.

Builders who need a central system to govern how their team uses agents, MCPs, and skills.
You can manage AI access, audit tool use, and roll out shared agent resources from one place.
What it does
Observe AI usage
Tracks token and cost use, with searchable logs for sessions, tool calls, permission changes, and access events.
Secure prompts and actions
Inspects prompts, responses, and agent actions in real time to block, redact, or log sensitive data.
Connect to MCPs
Provides a control layer for connecting agents to SaaS tools, APIs, and internal systems with policy enforcement.
Distribute shared resources
Rolls out MCPs, skills, plugins, and assistants by role with RBAC and Oauth2.1.
Local development stack
Uses `./zero` to install dependencies, run migrations, and start the dashboard and services.
How to get it
- 1Seed your local organization with a realistic working environment — a deployed API,…
mise seed
- 2To work on several branches at once, each git worktree can run its own full stack on its…
wt switch --create my-feature
README
Speakeasy AI Control Plane
Securely scale AI usage across your organization. Built for humans and agents.
Learn more »
Documentation · Running locally · Tech Stack · Contributing · Login · Roadmap
Introduction
Gram is the open source stack behind Speakeasy's AI control plane. Secure and centrally manage MCPs, Skills, and Assistants your whole company to access, with fine-grained permissions, threat detection, and full observability of token use and costs. Every tool call, permission change, and access event logged and searchable. SOC 2 Type II and ISO 27001 certified.
To get started on the hosted platform you can Sign up, or check out the Quickstart guide.
Supports popular AI providers
Observe
Track AI usage across teams and measure impact with either tokens or cost. Deep dive expensive sessions, create budgets and measure tool effectiveness. Built on a foundation of Opentelemetry. Exportable and interactive via platform MCP and a built in assistant.
Secure
Every prompt, response, and agent action is inspected and enforced in real time. Sensitive data is blocked, redacted, or logged before it leaves your environment. Create and enforce flexible policies to prevent prompt injection, log shadow use and detect PII secrets and other sensitive data types.
Connect
A single control layer for connecting your agents to MCPs for your SaaS vendors, APIs, and internal systems, with policy enforcement and granular access control built in. Private networking and tunneling deployed on demand.
Distribute
Centralise distribution of MCPs, Skills, Plugins and Assistants to your team based on enterprise roles. Team, server, and tool level permissions enforced through RBAC and Oauth2.1. Synced to your enterprise IDP (Okta, Azure AD, Google Workspace, etc.).
Support
- Chat with us: Join our slack for support and discussions or email us at support@speakeasy.com.
- Contribute feature requests or report issues on our roadmap.
- Documentation for the platform is available here.
Running locally
Run ./zero until it succeeds. This script is what you use to run the dashboard and services for local development. It installs dependencies, runs pending database migrations, and starts everything up.
The main dependencies are Mise and Docker. The ./zero script will guide you to install these if they are not found.
Seed your local organization with a realistic working environment — a deployed API, agent sessions, telemetry, risk findings, teammates, and an API key:
mise seed
It talks to the databases directly, so it can run before the services are up, and re-running it resets the seeded data.
To work on several branches at once, each git worktree can run its own full stack on its own ports:
wt switch --create my-feature
See CONTRIBUTING.md for more detail on local development, auth, worktrees, and the CLI.
Contributing
Contributions are welcome! Please open an issue or discussion for questions or suggestions before starting significant work.
See CONTRIBUTING.md for development setup and detailed contribution guidelines.
Tech Stack
- TypeScript — dashboard language.
- Golang — backend language.
- Goa — design-first API framework.
- Temporal — workflow engine.
- Polar — usage-based billing.
- OpenRouter — LLM gateway.
- Speakeasy — generated SDKs. Spec hosted here.
Contributors
Files in the repo
- .agents
- .changeset
- .claude
- .codex
- .config
- .cursor
- .github
- .impeccable
- .mise-tasks
- .opencode
- .playwright
- .speakeasy
- .vscode
- agents
- assets
- ci
- cli
- client
- dev-idp
- dev-idp-dashboard
- docs
- e2e
- examples
- functions
- glint
- hooks
- infra
- local
- mock-oidc
- otel-collector
- overlays
- plog
- pystreams
- redirects
- seed
- server
- skills
- tools
- ts-framework
- tunnel
- .gitattributes
- .gitignore
- .goreleaser.hooks.yaml
- .goreleaser.yaml
- .mcp.json
- .node-version
- .oxfmtrc.json
- .playwright-mcp.config.json
- .worktreeinclude
- AGENTS.md
- buf.gen.yaml
- buf.yaml
- CLA.md
- CLAUDE.md
- CODEOWNERS
- compose.shared.yml
- compose.yml
- config.template.toml
- CONTRIBUTING.md
- cubic.yaml
- GEMINI.md
- go.mod
- go.sum
- hk.pkl
- install-cli.ps1
- install-cli.sh
- LICENSE
- mise.lock
- mise.toml
- mise.viteprod.toml
- mprocs.yaml
- ONBOARDING.md
- opencode.json
- package.json
- pin-hooks-release
- pitchfork.toml
- pnpm-lock.yaml
- pnpm-workspace.yaml
- pyproject.toml
- README.md
- REVIEW.md
- SECURITY.md
- tsconfig.json
- tsconfig.strict.json
- uv.lock
- zero
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