Comparison
kirara-ai vs ruflo
Verdict
Pick kirara-ai when kirara-ai is primarily Python; ruflo is TypeScript; pick ruflo when ruflo is primarily TypeScript; kirara-ai is Python.
Markdown twin · kirara-ai alternatives · ruflo alternatives
GraphCanon updated today
Trust & integrity
| Signal | kirara-ai | ruflo |
|---|---|---|
| Maintenance | Dormant (381d since push) As of today · github_public_v1 | Very active (0d since push) As of 4d · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Personal account As of 4d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of today · osv@v1 | No published findings from this source as of 2026-07-11 As of 4d · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- kirara-ai
- 🤖 可 DIY 的 多模态 AI 聊天机器人 | 🚀 快速接入 微信、 QQ、Telegram、等聊天平台 | 🦈支持DeepSeek、Grok、Claude、Ollama、Gemini、OpenAI | 工作流系统、网页搜索、AI画图、人设调教、虚拟女仆、语音对话 |
- ruflo
- The leading agent meta-harness for intelligent multi-player swarms and autonomous workflows
Stars
- kirara-ai
- 19k
- ruflo
- 64k
Forks
- kirara-ai
- 1.8k
- ruflo
- 7.6k
Open issues
- kirara-ai
- 3
- ruflo
- 756
Language
- kirara-ai
- Python
- ruflo
- TypeScript
Adopt for
- kirara-ai
- -
- ruflo
- Ruflo, a TypeScript-based meta-harness for deploying intelligent multi-agent systems, offers comprehensive support for autonomous workflows and conversational AI through adaptive memory and RAG (Retrieval-Augmented Gener
Persona
- kirara-ai
- -
- ruflo
- -
Runtime
- kirara-ai
- -
- ruflo
- -
License
- kirara-ai
- AGPL-3.0
- ruflo
- Ruflo operates under an MIT license, providing broad permission and freedoms for developers. It's free for both personal and commercial projects.
Last pushed
- kirara-ai
- Jun 28, 2025
- ruflo
- Jul 11, 2026
Categories
- kirara-ai
- AI Agents, Computer Vision, Inference & Serving
- ruflo
- AI Agents, Inference & Serving
Trust and health
Maintenance
- kirara-ai
- Dormant (18%)
- ruflo
- Very active (96%)
Days since push
- kirara-ai
- 381d
- ruflo
- 0d
Open issues (now)
- kirara-ai
- 3
- ruflo
- 756
OSV dependency advisories
- kirara-ai
- No lockfile (source not queried)
- ruflo
- No published findings from this source as of 2026-07-11
Full report
- kirara-ai
- Trust report
- ruflo
- Trust report
Choose kirara-ai if…
- kirara-ai is primarily Python; ruflo is TypeScript.
- License: kirara-ai is AGPL-3.0, ruflo is MIT.
- Tags unique to kirara-ai: bard, bot, chatglm-6b, chatgpt.
- Also covers Computer Vision.
- kirara-ai ships Docker support for self-hosted deployment.
When NOT to use kirara-ai
- Last GitHub push was 381 days ago (dormant maintenance, Jun 28, 2025). Validate activity before betting a new project on kirara-ai.
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
Choose ruflo if…
- ruflo is primarily TypeScript; kirara-ai is Python.
- License: ruflo is MIT, kirara-ai is AGPL-3.0.
- Pricing: As MIT-licensed open-source tool, Ruflo is freely accessible. However, for extended features or support, enterprises might opt into paid tiers or services from contributors..
- Tags unique to ruflo: agentic-ai, autonomous-agents, multi-agent-systems, rag-integration.
- Use Ruflo when you need a full-featured setup including the MCP server, hooks, daemon, and extensive capabilities like memory storage and swarm initialization as these features are tightly integrated.
When NOT to use ruflo
- Avoid using Ruflo in scenarios where you only require limited functionality from an agent meta-harness. The extensive features and integrations might introduce unnecessary complexity or overhead.
- Do not use Ruflo if quick setup without deep integration is preferred; its comprehensive nature requires more time for installation compared to simpler frameworks that offer just a few key functions.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (lss233/kirara-ai) · observed Jul 15, 2026
- GitHub forks (lss233/kirara-ai) · observed Jul 15, 2026
- Last push (lss233/kirara-ai) · observed Jun 28, 2025
- License file (AGPL-3.0) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (ruvnet/ruflo) · observed Jul 11, 2026
- GitHub forks (ruvnet/ruflo) · observed Jul 11, 2026
- Last push (ruvnet/ruflo) · observed Jul 11, 2026
- License file (MIT) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: kirara-ai 19k · ruflo 64k (synced Jul 15, 2026).
Common questions
- What is the difference between kirara-ai and ruflo?
- kirara-ai: 🤖 可 DIY 的 多模态 AI 聊天机器人 | 🚀 快速接入 微信、 QQ、Telegram、等聊天平台 | 🦈支持DeepSeek、Grok、Claude、Ollama、Gemini、OpenAI | 工作流系统、网页搜索、AI画图、人设调教、虚拟女仆、语音对话 |. ruflo: The leading agent meta-harness for intelligent multi-player swarms and autonomous workflows. See the comparison table for live GitHub stats and shared categories.
- When should I choose kirara-ai over ruflo?
- Choose kirara-ai over ruflo when kirara-ai is primarily Python; ruflo is TypeScript; License: kirara-ai is AGPL-3.0, ruflo is MIT; Tags unique to kirara-ai: bard, bot, chatglm-6b, chatgpt; Also covers Computer Vision; kirara-ai ships Docker support for self-hosted deployment.
- When should I choose ruflo over kirara-ai?
- Choose ruflo over kirara-ai when ruflo is primarily TypeScript; kirara-ai is Python; License: ruflo is MIT, kirara-ai is AGPL-3.0; Pricing: As MIT-licensed open-source tool, Ruflo is freely accessible. However, for extended features or support, enterprises might opt into paid tiers or services from contributors.; Tags unique to ruflo: agentic-ai, autonomous-agents, multi-agent-systems, rag-integration; Use Ruflo when you need a full-featured setup including the MCP server, hooks, daemon, and extensive capabilities like memory storage and swarm initialization as these features are tightly integrated.
- When should I avoid kirara-ai?
- Last GitHub push was 381 days ago (dormant maintenance, Jun 28, 2025). Validate activity before betting a new project on kirara-ai. AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
- When should I avoid ruflo?
- Avoid using Ruflo in scenarios where you only require limited functionality from an agent meta-harness. The extensive features and integrations might introduce unnecessary complexity or overhead. Do not use Ruflo if quick setup without deep integration is preferred; its comprehensive nature requires more time for installation compared to simpler frameworks that offer just a few key functions.
- Is kirara-ai or ruflo more popular on GitHub?
- ruflo has more GitHub stars (63,961 vs 18,850). Stars measure visibility, not whether either tool fits your constraints.
- Are kirara-ai and ruflo open source?
- Yes - both are open-source projects on GitHub (kirara-ai: AGPL-3.0, ruflo: MIT).
- Where can I find alternatives to kirara-ai or ruflo?
- GraphCanon lists graph-backed alternatives at kirara-ai alternatives and ruflo alternatives (kirara-ai markdown twin, ruflo markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, kirara-ai or ruflo?
- kirara-ai: Dormant. ruflo: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for kirara-ai and ruflo?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: kirara-ai trust report; ruflo trust report.