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Seclai vs Flocker

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

Seclai compared with Flocker
DetailSeclai logo SeclaiFlocker logo Flocker
What it doesProduction infrastructure for AI applications with observability, governance, and multi-model support AI agent management platform for multi-agent orchestration
StageNot given Not given
FoundedNot given Not given
Based inNot given GB
Pricing modelNot given Freemium
PricingPersonal $15/month (25,000 credits); Starter $25/month (50,000 credits); Team $75/month (100,000 credits); Pro $375/month (500,000 credits). Additional credits available at $0.10 per 1,000 credits. 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
  • Step-level observability with traces showing status, latency, credits, and governance for every step
  • Natural-language governance policies with flag and block thresholds
  • Model portability: swap 200+ models at any time without code changes
  • Automatic content ingestion and vector database indexing for RAG
  • Persistent memory banks for conversation context
  • Cost tracking per model, agent, and step with credit-based pricing
  • Structured output validation ensuring quality responses
  • HTTP endpoints for every agent with SDKs for Python, JavaScript, Go, and C#
  • ML-based prompt scanner blocking injection attacks in real time
  • Evaluation framework with evals that run locally, in CI, and in production
  • 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
  • All production LLM features unified in one runtime with no orchestration stack to assemble
  • Local development environment matches production exactly for debugging and verification
  • Swap between 200+ models without changing code or workflow logic
  • Governance and compliance built-in with real-time prompt injection blocking and policy evaluation
  • Transparent credit-based pricing where all operations consume predictable, tracked credits
  • 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)11 +2 (up) since last check15 no change since last check
Trust Flow (Majestic)63
Citation Flow (Majestic)2029
Referring domains (Majestic)2250

4 details filled in for both companies.

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