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    "article": "\n# clawhub/NousResearch/hermes-agent\n\n- **Archetype**: Full-stack AI agent platform with skills, plugins, and learning loop\n- **Stars**: 65,657 (GitHub) / Discovered via ClawHub skill author ShawnPana (fork)\n- **Last pushed**: 2026-04-12\n- **License**: MIT\n- **Discovered**: 2026-04-12\n- **Source**: clawhub-skills (indirect -- ShawnPana/browser-use ClawHub skill led to hermes-agent fork)\n- **Skills found**: 25+ skill directories across 15 categories\n\n## Summary\n\nNousResearch's Hermes Agent is a self-improving AI agent with a built-in learning loop, skill system, plugin architecture, multi-platform messaging gateway, and cron scheduler. It is the most feature-rich open-source agent platform found in this research batch.\n\n### Key Architecture Components\n\n- **Skills system**: Organized by domain category (software-development, research, creative, data-science, devops, productivity, social-media, etc.) with SKILL.md files containing structured front matter + procedural content\n- **Plugin system**: Context engine and memory plugins (mem0, honcho, openviking, byterover, holographic, retaindb, supermemory, hindsight)\n- **Learning loop**: Agent creates skills from experience, improves them during use, builds user model across sessions\n- **Multi-platform gateway**: Telegram, Discord, Slack, WhatsApp, Signal, Email\n- **Cron scheduler**: Natural language scheduled automations with cross-platform delivery\n- **Terminal backends**: Local, Docker, SSH, Daytona, Singularity, Modal (serverless)\n- **Trajectory compression**: For training next-gen tool-calling models\n- **ACP (Agent Communication Protocol)**: Registry and adapter for agent-to-agent communication\n- **Batch runner**: Trajectory generation for reinforcement learning\n- **Toolset distributions**: Configurable toolset combinations\n\n### Notable Skills\n\n1. **software-development/systematic-debugging**: 4-phase root cause investigation with \"Iron Law: NO FIXES WITHOUT ROOT CAUSE\" -- extremely well structured\n2. **software-development/test-driven-development**: Full TDD workflow skill\n3. **software-development/writing-plans**: Planning methodology\n4. **software-development/subagent-driven-development**: Multi-agent delegation patterns\n5. **software-development/requesting-code-review**: Code review workflow\n6. **research/research-paper-writing**: End-to-end ML paper pipeline (experiment design -> analysis -> drafting -> revision -> submission) targeting NeurIPS/ICML/ICLR/ACL/AAAI/COLM with statistical analysis, citation verification, and iterative feedback loops\n7. **research/arxiv**: arXiv paper discovery and analysis\n8. **creative/creative-ideation**: Constraint-driven project generation with rich constraint library\n9. **creative/songwriting-and-ai-music**: Music creation workflow\n10. **creative/manim-video**: Mathematical animation creation\n11. **productivity/linear**: Linear issue tracker integration\n12. **autonomous-ai-agents/**: Skills for claude-code, codex, hermes-agent, opencode agent management\n\n### Memory Plugins\n\n9 memory backend integrations: mem0, honcho, openviking, byterover, holographic, retaindb, supermemory, hindsight -- each providing different persistence and retrieval strategies.\n\n## Assessment\n\n**HIGHEST VALUE** -- This is the single most valuable repository discovered in this batch, and possibly the most valuable external reference repo for babysitter overall. Reasons:\n\n1. **Skills architecture is directly comparable to babysitter's process library**: Same SKILL.md pattern, same domain categorization, same structured front matter with metadata\n2. **Learning loop patterns**: Hermes Agent's self-improving skill creation could inform babysitter's retrospect and process improvement workflows\n3. **Research paper writing pipeline**: One of the most sophisticated domain-specific skills seen anywhere -- iterative multi-phase workflow with feedback loops, perfect for babysitter process extraction\n4. **Systematic debugging methodology**: Already proven and battle-tested, with clear phases and \"Iron Law\" enforcement\n5. **Multi-platform delivery model**: Gateway pattern for Telegram/Discord/Slack could inform babysitter's harness adapter architecture\n6. **Trajectory compression**: Token optimization patterns relevant to babysitter's compression layer\n7. **Cron scheduler integration**: Natural language cron patterns relevant to babysitter's scheduled orchestration\n\n## Extraction Priority\n\n**P0 -- Highest priority extraction target**\n\n### Processes\n\n1. **Research Paper Writing Pipeline** (specializations/domains/science/ml-research/): 8-phase iterative pipeline covering literature review, experiment design, execution/monitoring, analysis, drafting, self-review, revision, and submission. Targets NeurIPS/ICML/ICLR/ACL/AAAI/COLM. Includes statistical analysis, citation verification, and feedback loops.\n\n2. **Systematic Debugging Methodology** (methodologies/): 4-phase root cause investigation with strict \"no fixes without understanding\" enforcement. Directly maps to a babysitter process with breakpoint gates between phases.\n\n3. **Creative Ideation Process** (specializations/domains/creative/): Constraint-driven project generation with rich constraint library across developer, artist, writer, and maker domains.\n\n4. **Subagent-Driven Development** (methodologies/): Multi-agent delegation patterns for parallel workstream execution with coordination protocols.\n\n5. **Self-Improving Skill Creation** (methodologies/): Meta-process for creating new skills from agent experience, improving them during use, and maintaining a skill library.\n\n### Plugin Ideas\n\n1. **Hermes Gateway Bridge Plugin**: Enable babysitter to receive work from Telegram/Discord/Slack via Hermes Agent's gateway protocol, extending babysitter's reach beyond CLI harnesses.\n\n2. **Trajectory Compression Plugin**: Adapt Hermes Agent's trajectory_compressor.py for babysitter's run journal compression, reducing storage and improving replay performance.\n\n3. **Memory Backend Abstraction Plugin**: Abstract over multiple memory backends (mem0, honcho, etc.) for babysitter's state persistence, similar to Hermes Agent's plugin/memory architecture.\n\n## Library Mapping\n\n| Extractable Process | Library Status | Action | Existing Path | Target Placement |\n|-------------------|----------------|--------|---------------|------------------|\n| Research Paper Writing Pipeline | NEW | 8-phase ML research paper pipeline targeting top-tier conferences | - | specializations/academic-research/research-paper-writing.js |\n| Systematic Debugging Methodology | UPGRADE | 4-phase root cause investigation with \"Iron Law: NO FIXES WITHOUT ROOT CAUSE\" | library/methodologies/debugging/ | methodologies/systematic-debugging/ |\n| Creative Ideation Process | NEW | Constraint-driven project generation with rich constraint library | - | specializations/creative/creative-ideation-process.js |\n| Subagent-Driven Development | NEW | Multi-agent delegation patterns for parallel workstream execution | - | methodologies/subagent-driven-development/ |\n| Self-Improving Skill Creation | NEW | Meta-process for creating and improving skills from agent experience | - | methodologies/self-improving-skill-creation/ |\n| Test-Driven Development Workflow | UPGRADE | Complete TDD methodology with breakpoint gates and validation | library/methodologies/tdd/ | methodologies/tdd/ |\n| Code Review Request Process | NEW | Structured code review workflow with preparation and submission | - | specializations/shared/code-review-request-process.js |\n| ArXiv Paper Discovery and Analysis | NEW | Academic paper discovery, analysis, and integration workflow | - | specializations/academic-research/arxiv-paper-analysis.js |\n| Linear Issue Management | NEW | Linear project management integration and workflow automation | - | specializations/business/linear-issue-management.js |\n| Multi-Platform Messaging Gateway | NEW | Cross-platform agent communication via Telegram/Discord/Slack | - | specializations/shared/multi-platform-messaging-gateway.js |\n| Natural Language Cron Scheduling | NEW | Natural language scheduled automation with cross-platform delivery | - | specializations/shared/natural-language-cron-scheduling.js |\n| Agent Communication Protocol (ACP) | NEW | Registry and adapter for agent-to-agent communication | - | specializations/shared/agent-communication-protocol.js |\n| Trajectory Compression Patterns | UPGRADE | Token optimization for agent interaction compression | library/compression/ | specializations/shared/trajectory-compression-patterns.js |\n| Toolset Distribution Management | NEW | Configurable toolset combinations for different agent configurations | - | specializations/shared/toolset-distribution-management.js |\n\n## Plugin Marketplace Mapping\n\n| Plugin Idea | Marketplace Status | Action | Existing Plugin | Target Placement |\n|-------------|-------------------|--------|-----------------|------------------|\n| Hermes Gateway Bridge | NEW | Telegram/Discord/Slack integration for babysitter via Hermes Agent gateway | - | plugins/a5c/marketplace/blueprints/hermes-gateway-bridge/ |\n| Trajectory Compression | NEW | Hermes-inspired trajectory compression for babysitter run journal optimization | - | plugins/a5c/marketplace/blueprints/trajectory-compression/ |\n| Memory Backend Abstraction | NEW | Multi-backend memory persistence (mem0, honcho, etc.) for babysitter state | - | plugins/a5c/marketplace/blueprints/memory-backend-abstraction/ |\n| Research Paper Assistant | NEW | Complete ML research paper pipeline with conference targeting and feedback loops | - | plugins/a5c/marketplace/blueprints/research-paper-assistant/ |\n",
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