Illospace vs MiroFish
Side-by-side comparison of Illospace and MiroFish. Compare features, pricing, and reviews to find the best fit.
Illospace vs MiroFish: Our Analysis
Illospace and MiroFish are both other tools competing in the same space, but they take fundamentally different approaches. Illospace positions itself as "A free, open-source workspace where your team and always-on AI agents share one memory", while MiroFish describes itself as "AI swarm simulation engine that builds parallel digital worlds to forecast what happens next".
On pricing, Illospace uses a Free (open-source, s model while MiroFish offers open-source pricing. This is an important distinction — Illospace requires a paid subscription, whereas MiroFish is a paid tool from the start.
Both tools are rated similarly by users — Illospace at 4.0/5 and MiroFish at 4.3/5 — suggesting comparable user satisfaction.
Illospace highlights 6 key features including multiplayer canvas workspace shared by humans and ai agents and always-on agents with persistent access to team memory and context. MiroFish counters with 6 features, notably thousands of ai agents with distinct personalities and persistent memory (via zep cloud) and graphrag knowledge graph construction from seed documents and news articles.
The standout advantage of Illospace is "genuinely free and open-source — you can self-host and audit it", while MiroFish's strongest point is "uniquely handles complex social dynamics through emergent multi-agent behavior". On the flip side, Illospace users should be aware that "early-stage — launched mid-may 2026, no managed cloud tier or slas yet", and MiroFish users note that "requires zep cloud for agent memory (free tier available but adds dependency)".
The right choice between Illospace and MiroFish depends on your specific needs. We recommend trying both — check Illospace's trial options, and explore MiroFish's pricing. Read our detailed reviews linked below for the full breakdown of each tool.
Illospace
A free, open-source workspace where your team and always-on AI agents share one memory.
MiroFish
AI swarm simulation engine that builds parallel digital worlds to forecast what happens next
| Feature | Illospace | MiroFish |
|---|---|---|
| Category | other | other |
| Pricing | Free (open-source, s | open-source |
| Rating | 4.0 | 4.3 |
| Verified | — | — |
Illospace Features
- Multiplayer canvas workspace shared by humans and AI agents
- Always-on agents with persistent access to team memory and context
- Agents can create databases, schedule cron jobs, and build workspace apps
- Unified surface for ideas, threads, team chat, and dynamic interfaces
- Fully open-source, self-hostable full stack (github.com/Illospace/illospace)
- Free with no per-seat pricing
MiroFish Features
- Thousands of AI agents with distinct personalities and persistent memory (via Zep Cloud)
- GraphRAG knowledge graph construction from seed documents and news articles
- Dual-platform parallel simulation with real-time variable injection
- Interactive dialogue with individual simulated agents post-simulation
- ReportAgent synthesizes detailed forecast reports from simulation output
- Docker deployment option for isolated, reproducible environments
Illospace Pros
- Genuinely free and open-source — you can self-host and audit it
- Agents share one persistent memory instead of starting cold every chat
- Agents can act (create databases, cron jobs, apps), not just answer questions
- No per-seat pricing, unlike most team-workspace tools
- Single surface replaces several fragmented apps
Illospace Cons
- Early-stage — launched mid-May 2026, no managed cloud tier or SLAs yet
- Self-hosting requires running and maintaining your own infrastructure
- Agent system tools (cron, databases) are powerful but young and lightly documented
- Smaller ecosystem and community than established workspace tools
MiroFish Pros
- Uniquely handles complex social dynamics through emergent multi-agent behavior
- GraphRAG integration makes knowledge extraction from seed documents highly structured
- Post-simulation dialogue allows deep interrogation of simulated outcomes
- Active community with 32K+ stars and documented real-world case studies
- Supports any OpenAI-compatible API — not locked to a single provider
MiroFish Cons
- Requires Zep Cloud for agent memory (free tier available but adds dependency)
- Significant compute cost for large-scale simulations (thousands of agents × many LLM calls)
- AGPL-3.0 license limits commercial use without open-sourcing modifications
- Currently optimized for Chinese-language content in documented examples
- Setup complexity: GraphRAG + Zep + Docker + LLM API requires technical configuration