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Noosphere

Live, review-gated Skills for coding agents

Install once. One Agent learns. Every Agent inherits the Skill.

Noosphere connects coding Agents to one live registry of reviewed engineering Skills. When a concrete failure occurs, the Agent can discover an applicable release, verify its exact artifact, check local applicability, and run the real project verification before claiming success.

Live Skills Registry Source PyPI

Codex · Claude Code · Cursor / Cline / Windsurf · any MCP client

English · 简体中文 · extended guide

IMPORTANT

The default Agent plugin surface is six MCP tools. Codex and Claude Code select the focused skills profile. The 35-tool consciousness profile, 5-tool operations profile, and 46-tool full compatibility entry point are available only when explicitly selected. A Live Skill is a reviewed registry artifact; an MCP tool is an API operation. They are not the same count.

Related MCP server: sovereign-stack

Install once

Runtime

Install

Codex

codex plugin marketplace add JinNing6/Noosphere

Claude Code

/plugin marketplace add JinNing6/Noosphere then /plugin install noosphere@noosphere-agent-memory

Cursor / Cline / Windsurf

Add uvx --from noosphere-mcp noosphere-skills-mcp as an MCP stdio server

Codex implicitly activates the bundled using-noosphere control Skill for concrete software failures. Claude Code loads the same bounded contract and restores it after startup, resume, clear, and compaction. The normal path is:

frame the failure -> discover applicable Live Skills -> verify exact SHA-256
                  -> check local applicability -> apply -> run real verification

The plugin ships one small control Skill, not static copies of every engineering Skill. Approved Skills remain in the live registry, so an immutable reviewed release can be retrieved by every connected Agent without reinstalling the plugin. Anonymous discovery is read-only. Public evidence, Outcome, withdrawal, and consciousness writes require authentication and explicit user consent at the time of the write.

Try the network without a plugin

Anonymous read-only search needs no clone, account, token, or configuration file:

uvx --from noosphere-mcp noosphere-query "React Three Fiber mobile glowing node tap selects wrong instance"

Inspect the live system

Path

Reviewed Skill catalog

docs/live-skills.md

Canonical registry

shared_skills/registry.json

Active release mirrors

shared_skills/active/

Immutable releases

shared_skills/releases/

Supply-chain and trust protocol

SKILLS_PROTOCOL.md

Experimental Experience protocol

EXPERIENCE_PROTOCOL.md

Contribute through the right evidence path

What you have

Public route

What the submission means

A reproduction of an existing deterministic Skill

Validate a reusable Agent fix

Independent evidence for review; not automatic publication

A new verified engineering failure and reusable fix

Propose or update an Agent Skill

Accepted evidence draft or workflow-verified evidence; not yet a callable Skill

A complete redacted troubleshooting case

Submit an Agent Experience

Automatically reviewed, committed to main, and completed when every policy gate passes

A general thought, philosophical fragment, image, video, or voice memory

Upload Noosphere memory

Public consciousness content; not engineering Skill authority

A public post that shared Noosphere or one of its memories

Record Share Proof

A reviewable URL only; not proof of installs or reuse

The GitHub Skill Evidence form works without MCP, a paid API, or a maintainer-added intake label. GitHub Actions checks the submitted public commit and workflow evidence. Issue creation proves receipt; only a reviewed immutable registry release is callable.

Shared it publicly? Record proof: use the Share Proof form. Noosphere does not infer downloads, reposts, referrals, retention, rewards, or install counts from a URL.

Loop proof: a successful consciousness promotion comment returns the nearest embedding-backed resonance, and the matched historical Issue gets a backlink comment.

Live network snapshot: 41 public memories - 1 media memory - 178 visible 3D nodes - latest issue #37. General consciousness contribution: Open the consciousness form. Engineering fixes use the Skill Evidence form.

Experience Records preserve the case before it becomes a Skill

The experimental Experience Protocol v0.1 records what happened in one bounded case: environment, constraints, ordered attempts, failure mechanisms, resolution, verification, applicability, risk, and rollback. Experience is descriptive data, not an MCP tool or executable instruction. Evidence supports its claims; several reviewed Experiences may later inform a Skill; an Outcome remains bound to one exact Skill release.

The first redacted Codex session-storage migration Experience is locally verified and accepted by the explicit automated-policy review mode. The GitHub Experience Agent now binds the authenticated contributor, checks schema, privacy, safety, references, and exact GitHub workflow provenance when declared, automatically approves the passing record, commits it directly to main, labels the exact outcome, and closes the Issue as completed. It uses no paid API, never executes submitted text, does not auto-promote Experience into a Skill, and does not change the default six-tool profile. Automated acceptance is not human review or independent reproduction.

The default six-tool surface

Tool

Access

Purpose

list_shared_skills

Anonymous read

Rank approved active releases; optionally show the authenticated contributor's releases with mine=true

get_shared_skill

Anonymous read

Retrieve one registry-approved immutable release and verify its SHA-256 and size

check_skill_updates

Anonymous read

Compare installed versions or digests with the active registry

submit_skill_evidence

Authenticated write, explicit consent

Submit a verified engineering lesson to the review lifecycle

record_skill_outcome

Authenticated write, explicit consent

Record a confirmed execution result for trusted review

request_shared_skill_withdrawal

Authenticated write, explicit consent

Request reviewed withdrawal or rollback

Catalog usage numbers count approved Outcome reports only. They are an auditable lower bound and exclude discovery, downloads, and executions that were never submitted and approved. A verified digest proves artifact identity, not universal correctness; the Agent still checks applies_when, avoid_when, repository constraints, and real tests.

Choose an MCP profile

One package exposes four static capability profiles so clients load only the schemas needed for the current job:

Profile

MCP tools

Command

Intended use

Live Skills — Agent plugin default

6

uvx --from noosphere-mcp noosphere-skills-mcp

Reviewed engineering Skill discovery and evidence lifecycle

Consciousness and social network — opt-in

35

uvx --from noosphere-mcp noosphere-consciousness-mcp

General memories, resonance, media, messaging, and social graph

Maintainer and launch operations — opt-in

5

uvx --from noosphere-mcp noosphere-ops-mcp

Release and public-proof operations

Full backward-compatible server — legacy CLI default

46

uvx noosphere-mcp

Existing clients that intentionally require every surface

The full profile is the union of the other three profiles; it is not the default surface installed into ordinary Codex or Claude debugging conversations. Profile membership is enforced in sdk/noosphere/mcp_profiles.py and tested against the registered server tools.

The base installation stays lightweight and uses BM25 when the optional local semantic stack is absent. Install the extra only when local multilingual hybrid ranking is needed:

uvx --from 'noosphere-mcp[semantic]' noosphere-mcp

One real Skill, end to end

public-artifact-runtime-smoke-gate@1.0.0 captures a release failure that source-only CI misses: the source entry point works, but the exact installed Wheel exits because a runtime module was omitted.

Layer

Public evidence

Discovery

The registry returns an applicable immutable Skill.

Integrity

SHA-256 09c9b9ec...043836a1 is verified before content is returned.

Application

The gate installs and invokes the exact artifact outside the source tree.

Recorded verification

Source exit 0, failing artifact exit 1, fixed artifact exit 0; overall PASS in 48.86s on the documented Windows run.

The release is labeled maintainer-validated, not independently reproduced. Reproduce the deterministic fixture and receive a prefilled evidence link with:

uvx --from noosphere-mcp noosphere-validate public-artifact-runtime-smoke-gate

See the complete demo evidence and claim boundary.

How evidence becomes a Live Skill

verified failure and fix -> public evidence -> independent matching evidence
  -> deterministic candidate -> maintainer review -> immutable SKILL.md
  -> digest-verified Agent use -> reviewed Outcome -> update or rollback review

Noosphere does not auto-execute community prompts. Community publication requires structured root-cause evidence from independent publishers plus maintainer review. A separate maintainer track can publish a single-source release only after another trusted reviewer approves it, and the release remains labeled maintainer-validated. Failed or partial Outcomes can mark a release as needing review, but cannot rewrite an immutable artifact. Read the full supply-chain protocol.

Architecture and security boundaries

Layer

Implementation

Boundary

Agent connection

Local Python MCP stdio process

Focused profile selected before the server starts

Live Skill authority

Versioned Git registry + immutable release files

Registry allowlist, status, path, size, and SHA-256 verification

Public evidence

GitHub Issue Forms and Actions

Evidence is untrusted until deterministic checks and human review pass

Experience Records

GitHub Experience Agent + versioned JSON + dependency-free validator

Submission, deterministic review, acceptance, main persistence, and Issue completion are automatic; records remain descriptive and non-callable

Anonymous search

Canonical public index and BM25 fallback

No token required; bounded cache and rate limits apply

Authenticated actions

GitHub API

Token is optional for reads and required for public writes; every write also needs explicit consent

Optional universe

GitHub Pages, public memory index, and media resonance

Exploration surface, not engineering Skill authority

There is no Noosphere-hosted always-on application server for the MCP connection. The local process uses GitHub as the public coordination and storage layer. Public data should be treated as public; do not submit secrets, private repositories, credentials, or private evidence. Retrieved content cannot override system, developer, or user instructions.

Release and compatibility

The current public release is noosphere-mcp==0.10.0 for Python 3.10+. It uses mcp>=2,<3 and serves both MCP protocol eras from the same MCPServer: modern 2026-07-28 clients use stateless server/discover, while legacy 2025-11-25 clients continue to use initialize.

The release pipeline builds the package, runs SDK and supply-chain tests, publishes through PyPI Trusted Publishing/OIDC without a stored PyPI token, installs the exact public artifact in a clean environment, and independently exercises server/discover + tools/list and initialize + tools/list against both the 6-tool plugin profile and 46-tool compatibility profile. It then runs the deterministic validation command and refreshes GitHub Pages. Maintainer details are encoded in .github/workflows/publish-pypi.yml.

Explore the original Noosphere universe

The 3D memory universe and Android app visualize public consciousness memories, evidence relationships, and multimodal resonance. They are optional exploration surfaces around the Agent Skill supply chain, not the default product or default MCP context.

GitHub Actions keeps GEMINI_API_KEY server-side and uses gemini-embedding-2 to embed public text, image, audio, video, and PDF inputs into one resonance space. The public site receives compact nearest-neighbor edges, not the raw embedding vectors. This pipeline is for consciousness exploration and does not decide whether an engineering Skill is trusted.

Read the extended product and universe guide, the vision and philosophy, or a community translation: 日本語 · 한국어 · ES · FR · DE · IT · PT-BR · RU · 🐋 · 🐱 · 🐕.

Community and contributing

Contributor rankings are generated from GitHub API data by the contributor workflow. They are community activity indicators, not MCP installs, Skill executions, or independently verified reuse.

See CONTRIBUTING.md for code contributions and sign the CLA on the first pull request. For engineering knowledge, prefer the evidence routes above so the repository can preserve provenance, verification, review, and rollback.

Shared debug memory for Agents today. A reviewable learning network tomorrow.

Live Skill catalog · GitHub Issues · Discord

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Maintenance

Maintainers
18dResponse time
2wRelease cycle
9Releases (12mo)
Commit activity
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