claude-mem

two-gates bundles three skills into a lifecycle for production AI agents. The design gate chooses the system shape, the ship gate scores evaluation, cost, observability, guardrails, oversight, reliability, and governance, and incident-to-eval turns failures into portable regression cases. Pinned scripts and validators handle deterministic parts, while the surrounding judgment stays explicit.

Kannaka Plugin adds HRM memory metrics, NATS swarm status, session model and cost details, and a pulse-like statusline to Claude Code. Its bundled zero-dependency MCP server exposes recall, remember, dream, and swarm messaging tools, while bounded background snapshots avoid a persistent daemon. The kannaka binary is needed for full HRM and swarm data; without it, the session line still works.

Create named teams from ten supported AI command-line backends, then dispatch a task to one member, fan it out for comparison, or run a staged writer-reviewer-synthesizer pipeline. An MCP bridge lets Claude Code call the team tools directly, while team variants and remote members support deeper or cross-host workflows. Setup requires Claude Code, Python 3.9, Node.js 18, and at least one compatible model launcher.

Anthropic Skills collects Claude skill examples, the Agent Skills specification, and a starter template for document, development, enterprise, communication, and creative tasks. The repository can be registered as a Claude Code plugin marketplace, and its example skills can also be used through Claude.ai or the API. A custom skill is a directory containing a SKILL.md file with YAML frontmatter and instructions. Most examples use Apache 2.0, while the document-creation skills are source-available rather than open source.