— · MIT
Give your AI agents persistent, collective memory — with deduplicating absorb, supersession lineage, semantic search, and a graph UI. Speaks MCP.
v1.0.4 · MIT
Enables AI agents to run durable, isolated, and observable browser automation tasks via Playwright, with persistent profiles, recovery, evidence capture, and unattended execution for long-running web workflows.
— · Apache-2.0
Config-driven engine that turns JSON into production-grade AI agents. Multi-agent orchestration, 12+ LLM providers, MCP/A2A protocols, RAG, persistent memory, and enterprise compliance (EU AI Act, GDPR, HIPAA). Built on Quarkus.
— · MIT
Multi-agent team operating system for Claude Code. 108 MCP tools, 40+ agent templates, 10 lifecycle hooks, 7 pipeline workflows. Persistent teams, structured meetings, task wall, real-time React dashboard. No LangChain/AutoGen — pure CC native integration.
— · MIT
Enables persistent, distilled memory for AI assistants, allowing recall and storage of durable facts across sessions and subagents via MCP.
— · AGPL 3.0
Enables any agent framework to connect and interact with a persistent, rules-based world service, while providing a built-in WebUI for human players and owner management.
— · MIT License
Enables AI agents to auto-load a persistent skill library at session start, and provides proxy tools for MiniMax vision and web search that work around broken MCP stdio transports.
v1.1.0 · no license
Build Apps and run code in 30 languages — sandboxed, with persistent sessions for agent loops.
v1.0.0 · no license
A persistent AI self you own — memory, persona, judgment — portable across all your AI hosts.