What makes Mycelium notable?

5.5K downloads. Trust evidence available

How should Mycelium be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this agent.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

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Mycelium

Use the mycelium CLI to join coordination rooms, negotiate with other agents via CognitiveEngine, and share persistent memory across sessions. Skill: Mycelium Owner: juliarvalenti Summary: Use the mycelium CLI to join coordination rooms, negotiate with other agents via CognitiveEngine, and share persistent memory across sessions. Tags: latest:2.0.0 Version history: v2.0.0 | 2026-07-23T17:10:55.974Z | user See https://github.com/mycelium-io/mycelium/releases/tag/v2.0.0 v1.1.3 | 2026-06-30T20:25:20.483Z | user See https://github.com/mycelium-io/mycelium/relea

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

5.5k

Updated

Oct 9, 2026

Version

2.0.0

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 5.5K downloads reported by the source. Last updated 10/9/2026.

Avoid when

Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor: Clawhubvendor · observed Oct 9, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 9, 2026
Adoption signal: 5.5K downloadsadoption · observed Oct 9, 2026
Latest release: 2.0.0release · observed Jul 23, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s17akxsjr7cxs1cp424agkx4d983fbe0:mycelium-io

Setup complexity is classified as HIGH. You must provision dedicated cloud infrastructure or an isolated VM. Do not run this directly on your local workstation.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-juliarvalenti-mycelium-io/snapshot"

Documentation

CLAWHUB

147,129 characters of source documentation, loaded on request.

Extracted files

3 files captured from the source.

SKILL.md

---
name: mycelium
description: Use the mycelium CLI to join coordination rooms, negotiate with other agents via CognitiveEngine, and share persistent memory across sessions.
user-invocable: true
metadata:
openclaw:
homepage: https://github.com/mycelium-io/mycelium
emoji: "🌿"
requires:
bins:
- mycelium
config:
- ~/.mycelium/config.toml
install:
- kind: brew
formula: mycelium-io/tap/mycelium
bins: [mycelium]
---

# Mycelium Coordination

Mycelium provides persistent shared memory and real-time coordination between AI agents.

Your core loop is the **negotiation protocol** below (join, respond, consensus, plan, work). Memory is the shared substrate underneath it.

## Core Concepts

- **Rooms** are persistent namespaces. They hold memory that accumulates across sessions. Spawn sessions within rooms for real-time negotiation when needed.
- **CognitiveEngine** mediates all coordination. It drives negotiation rounds and compiles consensus into the room's shared plan.
- **Memory** is filesystem-native. Each memory is a markdown file at `~/.mycelium/rooms/{room}/{key}.md`. The database is a search index that auto-syncs.

## Semantic negotiation

When two or more agents need to agree on a multi-issue trade-off — REST vs GraphQL, who owns what task, what budget/timeline/scope to ship — Mycelium runs a **structured negotiation** mediated by CognitiveEngine. It's a multi-round bargaining loop with a clear outcome: either consensus on every issue, or a clean "no agreement" timeout. Both are valid endings.

On consensus, Mycelium compiles the agreement into the room's **shared plan** — a `- [ ]` checklist at `plan/tasks.md` the whole team executes against. The full arc is: join → negotiate → plan → work. See **After consensus** below.

Use it when "let's just chat about it" would spiral. Skip it for one-issue questions or quick coordination — those belong in plain channel messaging (next section).

### The lifecycle

Everything is CLI-driven. You declare your position, then respond when CognitiveEngine asks.

```bash
# 1. Join the negotiation with your one-sentence opening position.
mycelium session join --handle <your-handle> --room <room-name> \
-m "I want GraphQL with a 6-month timeline; REST is fine for public uploads only."

# 2. CognitiveEngine sends a coordination_tick to each agent in turn.
# When it's your turn, the tick is delivered to you (see "Quirks" below
# for how that wake-up actually happens). The tick payload tells you:
#
# - current_offer the proposal on the table
# - can_counter_offer true ⇒ it's your turn to propose
# false ⇒ you can only accept or reject
# - issues / issue_options
# the canonical issue keys and their valid values
# - round / n_steps_total
# where you are in the round budget
# - your_last_action accept | reject | counter_offer | timeout | null
#

_meta.json

{
  "ownerId": "kn70fdyvtrrkha3rvpndy64z6h831d6x",
  "slug": "mycelium-io",
  "version": "2.0.0",
  "publishedAt": 1784826655974
}

skill-card.md

## Description:

Use the mycelium CLI to join coordination rooms, negotiate with other agents via CognitiveEngine, and share persistent memory across sessions.

This skill is ready for commercial/non-commercial use.

## Publisher:

[juliarvalenti](https://clawhub.ai/user/juliarvalenti)

### License/Terms of Use:

MIT-0

## Use Case:

Developers and agent operators use Mycelium to coordinate multi-agent work, run structured negotiations, and maintain shared room memory across sessions.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: Room memories and forwarded room messages can expose sensitive information if users store secrets, credentials, or personal data.

Mitigation: Do not put secrets, credentials, or personal data in room memories or forwarded room messages, and use a trusted, access-controlled backend.

Risk: The skill depends on installing and allowlisting the Mycelium CLI and trusting its configured backend.

Mitigation: Review or pin the Homebrew tap and release before installation, limit binary allowlists to agents that need Mycelium, and use HTTPS and authentication for any non-local backend.

## Reference(s):

- [ClawHub skill page](https://clawhub.ai/juliarvalenti/skills/mycelium-io)
- [Mycelium homepage](https://github.com/mycelium-io/mycelium)
- [Mycelium release v2.0.0](https://github.com/mycelium-io/mycelium/releases/tag/v2.0.0)

## Skill Output:

**Output Type(s):** [guidance, markdown, shell commands, configuration]

**Output Format:** [Markdown guidance with inline bash command examples]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [Guides agents through room coordination, structured negotiation, shared memory operations, installation, and OpenClaw setup.]

## Skill Version(s):

2.0.0 (source: server release metadata)

## Ethical Considerations:

Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.

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