Local Work Model for AI agents that learns from real outcomes.
Local Work Model for AI agents that learns from real outcomes.
AI agents are powerful but amnesiac: every run burns your tokens on real work, ships an output, then forgets. You rent capability — you never build it. acc changes the unit from a task that evaporates to an investment that compounds. Hand work to the agents you already run (Claude Code, Codex, OpenCode, Cursor), and two things compound into one owned asset — a Work Model of your business: your intellect (what you decide, what good looks like, what you'll never allow) and your agents' tokens (every verified path distilled into a runtime that replays instead of re-reasoning). It learns
The installer, host adapters, docs, and public building blocks are open. The engine source for the late-interaction memory, appraisal/prediction layers, and credit math is private for now. The public repo says which claims are proven, which are young, and which parts are not open.
Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.
Stop letting your assistant hallucinate n8n node parameters — this server hands it the real schemas, templates and validation.
AWS Labs' official server suite — current AWS docs, CDK guidance, cost analysis and service tools.
AI supply chain security scanner — CVE scanning, blast radius, policy enforcement, SBOM generation
Cloud DevOps analysis with guarded Git, infrastructure, cloud and observability operations.
feed-mcp is a [Model Context Protocol (MCP)](https://modelcontextprotocol.io) server that lets Claude Desktop read RSS, Atom, and JSON feeds. Think
Manage Rackspace Spot Kubernetes Cloudspaces, node pools, and VMs from your AI assistant.