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Files changed: - .wikitool-kb.json - AGENTS.md - CHANGES.md - INSTALL-MCP.md - INSTALL.md - README.md - VERSION - instructions/capture-session.md - instructions/dev/issue-tracking.md - instructions/german-terminology.md - instructions/kb-profiles.md - instructions/migrate-corpus.md - instructions/migrations/5.0.0-confidence-removal.md - instructions/private-instance.md - instructions/setup-instance.md - instructions/wiki-lint/SKILL.md - instructions/wiki-manage/SKILL.md - instructions/wiki-query/SKILL.md - kb/CONTRACT.md - kb/CONVENTIONS.md - kb/CONVENTIONS.md.template - kb/concepts/architectures/Consolidation Tiers.md - kb/concepts/architectures/Context Isolation.md - kb/concepts/architectures/Cross-platform Agent Skills.md - kb/concepts/architectures/Episodic Memory.md - kb/concepts/architectures/Hybrid Search.md - kb/concepts/architectures/Implementation Spectrum.md - kb/concepts/architectures/Knowledge Graph.md - kb/concepts/architectures/LLM Wiki Pattern.md - kb/concepts/architectures/MCP-Leseserver.md - kb/concepts/architectures/Memory Lifecycle.md - kb/concepts/architectures/OKF Compatibility.md - kb/concepts/architectures/Optional Instance Context File.md - kb/concepts/architectures/Personalization Plane.md - kb/concepts/architectures/Procedural Memory.md - kb/concepts/architectures/RAG.md - kb/concepts/architectures/Scale Ceiling.md - kb/concepts/architectures/Semantic Memory.md - kb/concepts/architectures/Three-Layer Architecture.md - kb/concepts/architectures/Token Economics.md - kb/concepts/architectures/Working Memory.md - kb/concepts/decisions/Delete Rather Than Anonymize.md - kb/concepts/decisions/Denylist over Allowlist.md - kb/concepts/decisions/Diff-Reviewable Agent Edits.md - kb/concepts/decisions/Dual Licensing by File Plan.md - kb/concepts/decisions/Issue Label Scheme.md - kb/concepts/decisions/KB Stack Versioning.md - kb/concepts/decisions/Structural Enforcement over Documented Rule.md - kb/concepts/patterns/Audit Trail.md - kb/concepts/patterns/BM25.md - kb/concepts/patterns/Command Round-Trip Integrity.md - kb/concepts/patterns/Confidence Scoring.md - kb/concepts/patterns/Contradiction Resolution.md - kb/concepts/patterns/Entity Extraction.md - kb/concepts/patterns/Filter on Ingest.md - kb/concepts/patterns/Forgetting.md - kb/concepts/patterns/Graph Traversal.md - kb/concepts/patterns/Mesh Sync.md - kb/concepts/patterns/Quality Scoring.md - kb/concepts/patterns/Reciprocal Rank Fusion.md - kb/concepts/patterns/Self-Healing.md - kb/concepts/patterns/Shared vs Private.md - kb/concepts/patterns/Typed Relationships.md - kb/concepts/patterns/Vector Search.md - kb/concepts/patterns/Work Coordination.md - kb/concepts/problems/Ambient Environment Dependency.md - kb/concepts/problems/Detect-Repair Asymmetry.md - kb/concepts/problems/Green Suite Blind Spot.md - kb/concepts/problems/Naming Convention Conflict.md - kb/concepts/problems/Write-Once Frontmatter Fields.md - kb/concepts/protocols/CPPC.md - kb/concepts/protocols/Modbus.md - kb/concepts/protocols/SSD TRIM.md - kb/concepts/workflows/Anti-Cramming Heuristic.md - kb/concepts/workflows/Bulk Operations.md - kb/concepts/workflows/CI Integration.md - kb/concepts/workflows/Checkpoint Audit.md - kb/concepts/workflows/Claude Code Auto Mode.md - kb/concepts/workflows/Content Quality Control.md - kb/concepts/workflows/Crystallization.md - kb/concepts/workflows/Event-Driven Automation.md - kb/concepts/workflows/Hooks.md - kb/concepts/workflows/Index Scaling.md - kb/concepts/workflows/Iteration and Cost Limits.md - kb/concepts/workflows/KB Migration.md - kb/concepts/workflows/Knowledge Compounding.md - kb/concepts/workflows/Lint Workflow.md - kb/concepts/workflows/Mass-Update Gate.md - kb/concepts/workflows/Multi-Agent Collaboration.md - kb/concepts/workflows/Privacy and Governance.md - kb/concepts/workflows/Publish-Remote Gate.md - kb/concepts/workflows/Quality and Self-Correction.md - kb/concepts/workflows/Semantic Lint Automation.md - kb/concepts/workflows/Session Orientation.md - kb/concepts/workflows/Split Merge Reclassify.md - kb/concepts/workflows/Split Threshold.md - kb/concepts/workflows/Stub Threshold.md - kb/concepts/workflows/Supersession.md - kb/concepts/workflows/User Management.md - kb/concepts/workflows/Workflow Extraction.md - kb/concepts/workflows/Workflow Orchestration.md - kb/entities/people/Andrej Karpathy.md - kb/entities/people/E3DC GmbH.md - kb/entities/people/Rohit Gupta.md - kb/entities/people/Vannevar Bush.md - kb/entities/projects/BCDModule.md - kb/entities/projects/Chemenu.md - kb/entities/projects/andybalholm-edl.md - kb/entities/projects/goresponsiveness.md - kb/entities/projects/ha-core.md - kb/entities/projects/hacs-e3dc.md - kb/entities/projects/hacs-integration-blueprint.md - kb/entities/projects/llm-wiki-skills.md - kb/entities/projects/plugnburn-edl.md - kb/entities/projects/wiki-skills-vanillaflava.md - kb/entities/projects/wiki-skills.md - kb/entities/systems/AGENTS.md.md - kb/entities/systems/CLAUDE.md.md - kb/entities/systems/E3DC.md - kb/entities/systems/ENVIRONMENT.md.md - kb/entities/systems/Memex.md - kb/entities/systems/Tolkien Gateway.md - kb/entities/technologies/Arch Linux.md - kb/entities/technologies/Disk Encryption.md - kb/entities/technologies/Docker.md - kb/entities/technologies/GRUB.md - kb/entities/technologies/Gitea Actions.md - kb/entities/technologies/Gitea.md - kb/entities/technologies/Go.md - kb/entities/technologies/Home Assistant.md - kb/entities/technologies/Kernel PM Governors.md - kb/entities/technologies/LVM.md - kb/entities/technologies/Linux Kernel.md - kb/entities/technologies/MQTT.md - kb/entities/technologies/OPC UA.md - kb/entities/technologies/Python.md - kb/entities/technologies/Rust.md - kb/entities/technologies/Wine GE.md - kb/entities/technologies/Wine-Staging.md - kb/entities/technologies/acpi-cpufreq.md - kb/entities/technologies/amd-pstate.md - kb/entities/technologies/iii Engine.md - kb/entities/tools/AUR.md - kb/entities/tools/Act Runner.md - kb/entities/tools/Agent Memory.md - kb/entities/tools/Aura.md - kb/entities/tools/Bottles.md - kb/entities/tools/ChatGPT.md - kb/entities/tools/Claude Code.md - kb/entities/tools/Codex CLI.md - kb/entities/tools/Dataview.md - kb/entities/tools/GPG.md - kb/entities/tools/GitHub Copilot.md - kb/entities/tools/Gitea MCP Server.md - kb/entities/tools/Lutris.md - kb/entities/tools/Marp.md - kb/entities/tools/Mistral Vibe.md - kb/entities/tools/NotebookLM.md - kb/entities/tools/Obsidian Web Clipper.md - kb/entities/tools/Obsidian.md - kb/entities/tools/OpenAI Codex.md - kb/entities/tools/OpenCode.md - kb/entities/tools/Pi.md - kb/entities/tools/Proton.md - kb/entities/tools/Steam.md - kb/entities/tools/Wine.md - kb/entities/tools/awesome-llm-wiki.md - kb/entities/tools/farzaa gist.md - kb/entities/tools/gdeploy.md - kb/entities/tools/makepkg.md - kb/entities/tools/pascalandy schema.md - kb/entities/tools/qmd.md - kb/entities/tools/wikitool.md - kb/index.md - kb/log.md - raw/CONTRACT.md - tools/CONTRACT.md - tools/README.md - tools/chemenu/api.py - tools/chemenu/cli.py - tools/chemenu/commands/confidence_decay.py - tools/chemenu/commands/docs_verify.py - tools/chemenu/commands/doctor.py - tools/chemenu/commands/index_build.py - tools/chemenu/commands/new_page.py - tools/chemenu/commands/search.py - tools/chemenu/commands/touch.py - tools/chemenu/commands/version_cmd.py - tools/chemenu/conventions.py - tools/chemenu/corpus_diff.py - tools/chemenu/frontmatter_io.py - tools/chemenu/lint_core.py - tools/chemenu/mcp/server.py - tools/chemenu/page.py - tools/chemenu/search/base.py - tools/chemenu/search/filters.py - tools/chemenu/search/ripgrep.py - tools/chemenu/search/service.py - tools/chemenu/search/types.py - tools/chemenu/tests/conftest.py - tools/chemenu/tests/test_api.py - tools/chemenu/tests/test_confidence_decay.py - tools/chemenu/tests/test_corpus_diff.py - tools/chemenu/tests/test_docs_verify.py - tools/chemenu/tests/test_frontmatter_io.py - tools/chemenu/tests/test_index_build.py - tools/chemenu/tests/test_kb_scan.py - tools/chemenu/tests/test_lint.py - tools/chemenu/tests/test_mcp_server.py - tools/chemenu/tests/test_new_page.py - tools/chemenu/tests/test_page_ops.py - tools/chemenu/tests/test_provenance.py - tools/chemenu/tests/test_raw_cmd.py - tools/chemenu/tests/test_search.py - tools/chemenu/tests/test_touch.py - tools/chemenu/tests/test_type_resolver.py - tools/chemenu/tests/test_version_cmd.py - tools/chemenu/tests/test_xref.py - tools/chemenu/version.py - types/concept.md - types/concept.schema.yaml - types/entity.md - types/entity.schema.yaml - types/instruction.md - types/type-spec.md
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type, concept_type, tags, created, modified, related, sources, provenance, summary
| type | concept_type | tags | created | modified | related | sources | provenance | summary | ||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| types/concept.md | workflow |
|
2026-07-26 | 2026-08-29 |
|
|
sourced | Wissensmanagement mit mehreren Agenten; erweitert das LLM-Wiki-Muster um Mesh Sync, die Trennung von geteiltem und privatem Wissen und leichtgewichtige Arbeitskoordination. |
Multi-Agent Collaboration
Typ: Workflow (Multi-Agent Knowledge Management)
Definition
Multi-Agent Collaboration behandelt die Realität, dass viele praktische Anwendungsfälle mehrere Agenten oder mehrere Menschen beinhalten, die zur gleichen Knowledge Base beitragen. Das ursprüngliche LLM-Wiki-Pattern ist Single-User, Single-Agent; v2 erweitert es auf Kollaborationsszenarien.
Kernpunkte
Das Problem
Single-Agent-Annahmen scheitern, wenn:
- Mehrere Agenten parallel arbeiten (verschiedene Coding-Sessions, Recherchethreads)
- Mehrere Menschen zur gleichen Knowledge Base beitragen
- Wissen über Sessions oder Benutzer hinweg geteilt werden muss
- Koordination erforderlich ist, um doppelte Arbeit zu verhindern
Die Lösung: Drei Komponenten
1. Mesh Sync Wenn mehrere Agenten parallel arbeiten, müssen ihre Beobachtungen in ein gemeinsames Wiki zusammengeführt werden:
- Standardstrategie: Last-Write-Wins in den meisten Fällen
- Konfliktauflösung: Zeitstempel-basiert mit manueller Anpassung
- Merge-Strategie:
- Kein Konflikt: Beide Aktualisierungen akzeptieren
- Konflikt: Neuere bevorzugen oder zur menschlichen Überprüfung kennzeichnen
- Semantischer Konflikt: Contradiction Resolution auslösen
Implementierung:
Agent A writes: "API rate limit is 100 req/min" (timestamp: 10:00:00)
Agent B writes: "API rate limit is 100 req/min" (timestamp: 10:00:05)
Result: Accept B (last-write-wins, no conflict)
Agent A writes: "API rate limit is 100 req/min" (timestamp: 10:00:00)
Agent B writes: "API rate limit is 200 req/min" (timestamp: 10:00:05)
Result: Flag for human review (conflict)
2. Shared vs. Private Knowledge Nicht alles Wissen sollte gleichermaßen geteilt werden:
| Bereich | Beschreibung | Beispiel |
|---|---|---|
| Private | Persönliche Beobachtungen, Vorlieben, Workflows | "Mein bevorzugter Editor ist VS Code" |
| Shared | Team-/Projektwissen, Entscheidungen, Architektur | "Projekt X verwendet Redis zum Caching" |
Promotionsmodell:
- Mit privaten Beobachtungen beginnen
- Zu Shared promovieren, wenn:
- Information über mehrere Agenten überprüft ist
- Information allgemein nützlich ist (nicht persönlich)
- Mensch explizit als Shared markiert
3. Work Coordination Einfache Koordination, um doppelte Arbeit zu verhindern und Fortschritt zu verfolgen:
Verfolgung:
- Wer arbeitet an was
- Was ist blockiert (und warum)
- Was ist fertig
- Was braucht Überprüfung
Implementierung:
- Statusfeld auf Seiten:
in-progress,blocked,done,needs-review - Zuständigkeitsfeld: Welcher Agent/welche Person ist verantwortlich
- Blockierungsbeziehungen: Seite A blockiert Seite B
Kein vollständiges Task-Management-System - nur genug, um doppelte Arbeit zu verhindern.
Implementierung
Basierend auf Agent Memory-Erfahrung:
- Mesh Sync aktivieren mit Konfliktauflösung
- Scoping implementieren (privat vs. geteilt)
- Einfache Koordinationsfelder zu Seiten hinzufügen
- Mit Event-Driven Automation für Sync-Trigger integrieren
- Alle Multi-Agent-Operationen in Audit Trail protokollieren
Vorteile
- Kollaboration: Mehrere Agenten können zur gleichen Knowledge Base beitragen
- Effizienz: Verhindert doppelte Arbeit
- Flexibilität: Unterstützt sowohl persönliches als auch Team-Wissen
- Skalierbarkeit: Funktioniert mit beliebig vielen Agenten
- Transparenz: Klare Sicht darauf, wer was tut
Wann zu verwenden
- Team-Umgebungen mit mehreren Benutzern
- Multi-Agent-Setups (parallele Recherche, Coding, etc.)
- Gemeinsame Knowledge Bases
- Situationen, die Koordination erfordern
Wann NICHT zu verwenden
- Single-User, Single-Agent-Szenarien
- Situationen, in denen Einfachheit wichtiger ist als Kollaboration
- Sehr kleine Knowledge Bases
Verwandte Concepts
- Event-Driven Automation - Für Sync-Trigger
- Audit Trail - Zur Verfolgung von Multi-Agent-Operationen
Siehe auch
- Privacy and Governance (für Zugriffskontrolle)
- Quality and Self-Correction (zur Aufrechterhaltung der Qualität in kollaborativen Einstellungen)
Beziehungen
- exemplifies: LLM Wiki Pattern
- see-also: Memory Lifecycle
- composition: Mesh Sync
- composition: Shared vs Private
- composition: Work Coordination