# Channel Wiki: #jarvis-jr-v1-storm
_Channel ID: 1548059565235503164_
_Created: 2026-09-11 20:05 UTC_
_Last sync: 2026-09-11 20:26 UTC_

## Purpose
Investigate and test emerging autonomous-agent practices, then turn credible findings into reusable workflows or experiments.

## Key Decisions
- Use `/opt/data/channels/jarvis-jr-v1-storm` as this channel's canonical local workspace.
- Use the private Gitea repository `home-v1-skills-code-agent/home-v1-channel-jarvis-jr-storm` as the channel skill source.
- Keep mutable channel state and detailed research out of `config.yaml`; configuration contains only the skill-loading directive.
- Treat social-media summaries as commentary until direct source material supports the attributed quote.

## Active Topics
- Agent orchestration using reusable skills, bounded loops, dependency graphs, and verification gates.
- Separating Boris Cherny's direct statements about loops and agent-managed agents from third-party “graph engineering” packaging.
- Evaluating Hermes as an agent operating environment against explicit workflow runtimes and visual builders.

## Key Context
- Local workspace: `/opt/data/channels/jarvis-jr-v1-storm`
- Skill repository: `https://gitea.lego-cloud.eu/home-v1-skills-code-agent/home-v1-channel-jarvis-jr-storm`
- Installed skill: `home-v1-channel-jarvis-jr-storm`
- Initial investigation: `/opt/data/channels/jarvis-jr-v1-storm/research/2026-09-11-boris-cherny-loops-graphs-claim.md`
- Framework evaluation: `/opt/data/channels/jarvis-jr-v1-storm/research/2026-09-11-hermes-vs-langgraph-langflow-agent-frameworks.md`
- Initial finding: Boris directly supports persistent loops/routines, large parallel agent fleets, and agents coordinating agents. The inspected transcripts did not support the screenshot's purported exact quote, its “graph engineering” attribution, or its three-to-six-month prediction.
- Framework finding: preserve Hermes as the operator-facing environment and add native durable workflow-graph semantics inspired by LangGraph, Microsoft Agent Framework, and CrewAI. CrewAI is the closest current framework-level peer because it combines event-driven flows, checkpoint/fork support, HITL, tracing, and progressive `SKILL.md` skills. Treat Langflow as a serializable visual-DAG and DevOps authoring influence, keep Agent Skills portable, and do not introduce LangGraph or Langflow as a mandatory runtime.

## People & Roles
- **RootAtSkic:** channel owner and experiment sponsor.
- **Hermes/Jarvis Jr:** investigator, implementer, and verifier within current authority.

## Action Items
- [ ] Select one existing operational workflow for a bounded loop-and-graph experiment.
- [ ] Define node contracts, retry budget, stop conditions, evidence, and human-owned gates before automating it.
- [ ] If approved, scope a native Hermes workflow-graph specification before implementation: typed state, durable node checkpoints, interrupts, idempotency, joins, bounded cycles, traceability, and exact skill provenance.

## Source Anchors
- Triggering setup and investigation request: Discord message `1548060067905933362`.
- Initial research brief: `research/2026-09-11-boris-cherny-loops-graphs-claim.md` in the local channel workspace.
- Framework comparison request: Discord message `1548063523270168617`.