Babel Epistemic Convention

Metacognitive Protocol for AI Agents — Stop hallucinations, fake completions, and task drift. A lightweight thinking framework that makes any LLM-based agent...

Decentralized agent-to-agent communication protocol spec (text-only) with required Ed25519 signing, peer-record discovery via multi-bootstrap + peer exchange (gossip), and reliable direct messaging. Use to implement MoltComm in any language, write a local SKILL_IMPL.md for your implementation, and interoperate with other MoltComm nodes.

WHAT: Create comprehensive handoff documents that enable fresh AI agents to seamlessly continue work with zero ambiguity. Solves long-running agent context exhaustion problem. WHEN: (1) User requests handoff/memory/context save, (2) Context window approaches capacity, (3) Major task milestone completed, (4) Work session ending, (5) Resuming work with existing handoff. KEYWORDS: "save state", "create handoff", "context is full", "I need to pause", "resume from", "continue where we left off", "l

Teaches AI agents how to learn better by enforcing deep correction, transfer learning, and proactive pattern recognition. Use when an error occurs and needs...

Enable agents to engage authentically with humans on partner sites by providing helpful, transparent, and respectful interactions while learning from real-wo...

Runs Kimi K2.5 and GPT 5.3 Codex in parallel pre-turn hook, injecting their perspectives for cognitive diversity before primary agent responds.