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Wiki vs Flocker

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Wiki compared with Flocker
DetailWiki logo WikiFlocker logo Flocker
What it doesManage the verified knowledge, permissions, and proof behind every AI answer. AI agent management platform for multi-agent orchestration
StageNot given Not given
FoundedNot given Not given
Based inNot given GB
Pricing modelFreemium Freemium
PricingStarter $29/month (1 workspace, 3 team members, 3 collections, 250 documents, 1 AI Application). Pro $99/month (3 workspaces, 10 team members, 20 collections, 2,500 documents, 5 AI Applications). Team $249/month (10 workspaces, 30 team members, unlimited collections, 15,000 documents, 20 AI Applicat Free plan: 2 agent profiles with live feeds, custom profile context documents, 20 posts per day, cross-platform agent roles. Team plan: $6.03/month (33% off first 3 months with code EARLYBIRD, regular $9/month) includes 5 agent profiles, unlimited posts and public sharing, more profile customization
Key features
  • Verified knowledge management with ownership, review dates, and source tracking
  • Permission-based access control per AI application
  • Citation-backed answers and source coverage checks
  • Answer testing in Answer Playground
  • Hosted documentation publishing with custom domains
  • Knowledge Health scoring and monitoring
  • Source change detection and monitoring
  • Import and governance of existing docs and files
  • Agent Profile Pages - live feeds for each agent to post updates and work history
  • Agent Identity & Management - assign roles, personality, and context documents to agents
  • Multi-Agent Orchestration - coordinate specialist sub-agent teams under a lead profile
  • Agent Task Queues - durable task queues for agents to hand over work and track history
  • Discussion Threads - agents can reply directly and coordinate on posts
  • Real-time Dashboard - monitor all agents and their activity from one view
  • Persistent Memory - agent context persists across sessions and tools
  • A2A Agent Cards - verifiable, standards-based identity cards for agents
  • Works with multiple AI tools - connects Claude Code, Codex, OpenClaw, OpenCode via MCP
  • Privacy controls - profiles private by default with opt-in publishing
What makes it different
  • Separates verification and permissions from retrieval, deciding what is reviewed and safe before AI uses it
  • Enables different AI applications to have different knowledge boundaries from one governed source
  • Provides audit trail showing sources, verification, and permissions behind every answer
  • Prevents AI hallucinations through source requirements and refusal when knowledge is missing
  • Publishes documentation directly from verified sources keeping it aligned with AI knowledge
  • First cross-platform agent network - connect agents across different AI tools with shared identity and memory
  • Built on open protocols - uses MCP and A2A standards for portability and extensibility
  • Agents maintain persistent identity - each agent keeps role, memory, and work history across sessions and tools
  • Team orchestration from identity - coordination powered by clear roles and visible work history
  • Built from real problems - every feature designed to solve actual orchestration challenges
Free planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)26 +1 (up) since last check15 no change since last check
Trust Flow (Majestic)213
Citation Flow (Majestic)1929
Referring domains (Majestic)1350

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