Manifold is an AI agent platform enabling multi-step workflow automation through teams of AI assistants. The system provides a chat interface for interacting with configurable specialist agents, a visual workflow editor (WARPP) for creating reusable automation, and an experimentation playground for testing prompts and models. Built with a Go backend and Vue.js frontend, it features extensible tool systems, layered memory architectures (belief, evolving, decision), MCP integration for external tools, and comprehensive observability via OpenTelemetry. The architecture emphasizes modularity with clear separation between agent execution, persistence, tool discovery, and memory subsystems.
Hermes Agent is a self-improving AI agent platform with a sophisticated data architecture centered around session management, memory systems, and tool execution pipelines. The primary data lineage flows from user interactions (CLI, TUI, messaging platforms) through a gateway layer that manages session state, tool execution, and model communication. Raw conversation data is ingested via multiple transports (stdio, WebSocket, HTTP) and persisted in SQLite databases (state.db for sessions, kanban.db for task orchestration). The system transforms conversations through context compression, memory extraction (via plugins like Hindsight, Mem0, Honcho), and skill-based procedural memory. Analytical schemas expose session analytics, token usage, model performance, and skill effectiveness through REST endpoints and a web dashboard. The repository answers research questions about autonomous agent behavior, context management strategies, and multi-modal tool orchestration patterns.