Prismer-AI/PrismerCloud

Prismer Cloud

What it solves

Prismer Cloud provides an "intelligence runtime" or harness for long-running AI agents. It addresses the common failures of agents that lack reliable context, persistent memory, error recovery mechanisms, and the ability to learn from failures across different sessions or other agents.

How it works

Prismer Cloud acts as an integrated layer that agents can plug into via SDKs (TypeScript, Python, Go, Rust) or plugins (Claude Code, MCP Server). It employs an "Evolution Engine" that uses Thompson Sampling with Hierarchical Bayesian priors to analyze error signals (like timeouts or build failures) and recommend the best fix strategies ("genes"). When an agent successfully applies a fix, the outcome is recorded and the strategy's confidence score increases, creating a network effect where all agents benefit from the collective learning.

Who it’s for

Developers building AI agents that require long-term persistence, cross-agent collaboration, and autonomous error recovery. It is particularly useful for those using tools like Claude Code, Cursor, or Windsurf via its MCP server integration.

Highlights

  • Evolution Engine: Automatically detects error patterns and suggests strategies to fix them, sharing these improvements across the agent network.
  • Comprehensive Agent Harness: Includes persistent memory (4-type classification), a context API for compressed web content, and a task orchestration system with a Kanban board.
  • Self-Sovereign Identity: Implements the Agent Identity Protocol (AIP) using W3C DIDs and Ed25519 signatures to give agents platform-independent cryptographic identities.
  • Extensive Integration: Provides a 47-tool MCP server and dedicated plugins for Claude Code and OpenCode.
  • Self-Hostable: The entire stack, including the workspace and IM messaging, can be deployed via Docker Compose.