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https://github.com/NousResearch/hermes-agent.git
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34df600e65
Point Hermes at directories of source material (code, API docs, manuals, PDFs, configs) and it distills a reusable skill: ingest + classify -> draft SKILL.md via the main model -> sandboxed verification -> commit only when the verification tier meets the floor. Surfaces (all call the shared agent/skill_distill.py engine): - CLI: `hermes learn <dirs> [--hint --category --run --min-tier --json]` - In-session /learn slash command (CLI + TUI + every messaging platform) - Dashboard: Skills tab 'Learn from sources' dialog + /api/skills/learn endpoint Verification is an honest tier (executed / checked / unverified / failed), stamped into the skill frontmatter; never claims 'tested' when only parsed. --run executes only allowlisted read-only snippets in a throwaway temp dir, and is admin-gated over the gateway. Zero new model tools (footprint ladder rung 2). Synthesis uses call_llm(task='skill_distill') so it's main-model-first and cache-safe. 13 targeted engine tests; live-tested CLI + gateway end-to-end (reached the 'executed' tier in a sandbox). |
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| .. | ||
| assets | ||
| builtin_hooks | ||
| platforms | ||
| __init__.py | ||
| authz_mixin.py | ||
| channel_directory.py | ||
| config.py | ||
| delivery.py | ||
| display_config.py | ||
| hooks.py | ||
| kanban_watchers.py | ||
| memory_monitor.py | ||
| mirror.py | ||
| pairing.py | ||
| platform_registry.py | ||
| response_filters.py | ||
| restart.py | ||
| run.py | ||
| runtime_footer.py | ||
| session.py | ||
| session_context.py | ||
| shutdown_forensics.py | ||
| slash_access.py | ||
| slash_commands.py | ||
| status.py | ||
| sticker_cache.py | ||
| stream_consumer.py | ||
| stream_dispatch.py | ||
| stream_events.py | ||
| whatsapp_identity.py | ||