#rotiferprotocol search results
Google's Flash-Lite Browser generates websites from intent. ~2K tokens, 5 seconds. Catch: every render differs. Same query, different layout. When interfaces are generated, not designed — evolution picks which one survives. rotifer.dev #RotiferProtocol #AI
Honest question for AI agent builders: How do your agents decide which tool to use when 3 tools can do the same job? a) LLM picks (prompt-based) b) Hardcoded priority c) User config d) Something smarter? We built an Arena where tools compete on real metrics. #RotiferProtocol
Named after the organism that proved evolution works through sharing, not competition alone. Full essay: rotifer.dev/blog/from-auto… npm i -g @rotifer/playground #RotiferProtocol #AIAgents
The Rotifer Protocol in one image. Gene competition. Arena selection. Horizontal transfer. Immutable safety kernel. Five layers that turn static agent plugins into evolving organisms. rotifer.dev #RotiferProtocol #AgentFramework
Google TurboQuant: 6× KV cache compression, zero accuracy loss. For modular agents, this compounds — each Gene = one inference call. Cheap inference → LLM-native Genes compete with compiled WASM. rotifer.dev #RotiferProtocol #DevTools
🧬 Rotifer v0.7 — Hybrid Evolution Genes break out of the sandbox. → Hybrid Gene: WASM + network access → 4-gene AI pipeline (we dogfood) → VS Code extension on Marketplace rotifer.dev/blog/v0.7-hybr… #RotiferProtocol #OpenSource
Solo protocol builder day: → AI docs assistant — chat + RAG + content filter → 14 WebMCP tools for browser agents → Path traversal guard + schema hardening → 25 architecture decisions documented rotifer.dev #RotiferProtocol #AIAgents
LiteLLM poisoned — 95M downloads. One pip install → credentials stolen. The weapon: a .pth file. Runs on every Python startup. No import needed. The fix we already had: WASM sandbox. No filesystem. No subprocess. No .pth. rotifer.dev #RotiferProtocol #AIAgents
Rotifer v0.8.1 — Ecosystem Reach Chaos experiment: 3 APIs break, agent auto-switches genes. → 83.3% vs 33.3% uptime (2.5x) → 3 auto gene switches, 0 human intervention → New: --from-clawhub migration rotifer.dev/blog/api-apoca… #RotiferProtocol #AIAgents
There's a missing layer in the AI concept stack: Token → LLM → Prompt → Context → ??? → Agent → Harness Context = what AI knows Agent = how AI acts But what defines what AI can do? Gene: evolvable, evaluable, portable capability units. #RotiferProtocol #AI
The Agent interface stack is forming: → CLI: Agent runtime → Protocols: MCP, AG-UI, A2UI → GUI: AI-generated on demand What selects which tool survives? The evolution layer. rotifer.dev #RotiferProtocol #OpenSource
We're building Rotifer Protocol — evolution infra for *any* agent capability. Core unit: Gene. • Compete in Arenas on quantified metrics • Propagate when they win • Any agent can adopt: rotifer install gene-name autoresearch's loop, generalized. #RotiferProtocol #AIAgents
Tested on 12 Top ClawHub Skills. 100% mapping success. Simple (5 files) to complex (100+ files). npm i -g @rotifer/playground rotifer wrap my-gene --from-clawhub <slug> Tutorial: rotifer.dev/blog/skill-to-… #RotiferProtocol #OpenSource
Hot take: Letting an LLM choose which tool to call is like letting a judge pick the winner without watching the match. What if tools competed on actual performance data instead? That's what Arena-based selection does. Agree or disagree? #RotiferProtocol #AISafety
Three eras of Agent architecture: 2023: Tool-calling loops 2025: Persistent agents + MCP + Skills 2026: Evolving organisms + Genes + Arenas + 3 LLMs stress-tested the CLI as external devs + Windows login bug fix rotifer.dev/zh/blog/agent-… #RotiferProtocol #DevTools
AI大神@karpathy Autoresearch项目的 train.py、val_bpb、program.md，恰好对应 @rotiferdev 的 Gene、适应度函数、L0 宪法层——两个独立项目收敛到同一个最小架构：可变异单元 + 适应度函数 + 不可变约束 = 计算进化的通用范式。 #rotiferprotocol #AgentEvo
If you could pick ONE thing to fix about current AI agent tooling, what would it be? 1. Security (sandboxing, permissions) 2. Portability (cross-framework) 3. Quality (auto-selection of best tool) 4. Discovery (finding the right tool) Reply with your number. #RotiferProtocol
What if agent plugins weren't static? What if they competed on real performance metrics, propagated to other agents when they won, and ran in WASM sandboxes by default? That's the premise behind Rotifer Protocol. rotifer.dev #RotiferProtocol #LLM
v0.7.8 shipped — Test Fortification 67 new tests. Zero new features. → path traversal blocked → command injection blocked → token leak prevented → network failure graceful rotifer.dev #RotiferProtocol #AISafety
Google TurboQuant: 6× KV cache compression, zero accuracy loss. For modular agents, this compounds — each Gene = one inference call. Cheap inference → LLM-native Genes compete with compiled WASM. rotifer.dev #RotiferProtocol #DevTools
Cool! Rotifer v0.8.1 发布 混沌实验：3个API崩溃，Agent自动切换Gene。 → 可用率83.3% vs 基线33.3%（2.5倍） → 3次自动切换，0次人工干预 rotifer.dev/blog/api-apoca… #RotiferProtocol #AIAgents
rotifer.dev
API Apocalypse: What Happens When Every API Breaks and Your Agent Has to Evolve — Rotifer Blog
We built a chaos engineering experiment for AI agents. The Rotifer Agent auto-switched genes to maintain 83.3% source uptime while the baseline agent collapsed to 33.3%. Zero human intervention...
Rotifer v0.8.1 — Ecosystem Reach Chaos experiment: 3 APIs break, agent auto-switches genes. → 83.3% vs 33.3% uptime (2.5x) → 3 auto gene switches, 0 human intervention → New: --from-clawhub migration rotifer.dev/blog/api-apoca… #RotiferProtocol #AIAgents
Rotifer v0.8.1 — Ecosystem Reach Chaos experiment: 3 APIs break, agent auto-switches genes. → 83.3% vs 33.3% uptime (2.5x) → 3 auto gene switches, 0 human intervention → New: --from-clawhub migration rotifer.dev/blog/api-apoca… #RotiferProtocol #AIAgents
The Agent interface stack is forming: → CLI: Agent runtime → Protocols: MCP, AG-UI, A2UI → GUI: AI-generated on demand What selects which tool survives? The evolution layer. rotifer.dev #RotiferProtocol #OpenSource
Google's Flash-Lite Browser generates websites from intent. ~2K tokens, 5 seconds. Catch: every render differs. Same query, different layout. When interfaces are generated, not designed — evolution picks which one survives. rotifer.dev #RotiferProtocol #AI
Tested on 12 Top ClawHub Skills. 100% mapping success. Simple (5 files) to complex (100+ files). npm i -g @rotifer/playground rotifer wrap my-gene --from-clawhub <slug> Tutorial: rotifer.dev/blog/skill-to-… #RotiferProtocol #OpenSource
rotifer.dev
From Skill to Gene: A Migration Walkthrough — Rotifer Blog
Turn your existing Cursor or Codex skills into Rotifer genes. A practical guide through scan, wrap, compile, and publish.
LiteLLM poisoned — 95M downloads. One pip install → credentials stolen. The weapon: a .pth file. Runs on every Python startup. No import needed. The fix we already had: WASM sandbox. No filesystem. No subprocess. No .pth. rotifer.dev #RotiferProtocol #AIAgents
There's a missing layer in the AI concept stack: Token → LLM → Prompt → Context → ??? → Agent → Harness Context = what AI knows Agent = how AI acts But what defines what AI can do? Gene: evolvable, evaluable, portable capability units. #RotiferProtocol #AI
Solo protocol builder day: → AI docs assistant — chat + RAG + content filter → 14 WebMCP tools for browser agents → Path traversal guard + schema hardening → 25 architecture decisions documented rotifer.dev #RotiferProtocol #AIAgents
v0.7.8 shipped — Test Fortification 67 new tests. Zero new features. → path traversal blocked → command injection blocked → token leak prevented → network failure graceful rotifer.dev #RotiferProtocol #AISafety
Three eras of Agent architecture: 2023: Tool-calling loops 2025: Persistent agents + MCP + Skills 2026: Evolving organisms + Genes + Arenas + 3 LLMs stress-tested the CLI as external devs + Windows login bug fix rotifer.dev/zh/blog/agent-… #RotiferProtocol #DevTools
Named after the organism that proved evolution works through sharing, not competition alone. Full essay: rotifer.dev/blog/from-auto… npm i -g @rotifer/playground #RotiferProtocol #AIAgents
rotifer.dev
From autoresearch to Collective Evolution: What Karpathy's Project Reveals About the Future of AI...
Karpathy's autoresearch shows natural selection working in ML training. But what happens when agent discoveries can propagate? We explore the path from isolated experiments to collective evolution.
We're building Rotifer Protocol — evolution infra for *any* agent capability. Core unit: Gene. • Compete in Arenas on quantified metrics • Propagate when they win • Any agent can adopt: rotifer install gene-name autoresearch's loop, generalized. #RotiferProtocol #AIAgents
🧬 Rotifer v0.7 — Hybrid Evolution Genes break out of the sandbox. → Hybrid Gene: WASM + network access → 4-gene AI pipeline (we dogfood) → VS Code extension on Marketplace rotifer.dev/blog/v0.7-hybr… #RotiferProtocol #OpenSource
What if agent plugins weren't static? What if they competed on real performance metrics, propagated to other agents when they won, and ran in WASM sandboxes by default? That's the premise behind Rotifer Protocol. rotifer.dev #RotiferProtocol #LLM
AI大神@karpathy Autoresearch项目的 train.py、val_bpb、program.md，恰好对应 @rotiferdev 的 Gene、适应度函数、L0 宪法层——两个独立项目收敛到同一个最小架构：可变异单元 + 适应度函数 + 不可变约束 = 计算进化的通用范式。 #rotiferprotocol #AgentEvo
The Rotifer Protocol in one image. Gene competition. Arena selection. Horizontal transfer. Immutable safety kernel. Five layers that turn static agent plugins into evolving organisms. rotifer.dev #RotiferProtocol #AgentFramework
Your AI agent can now search, inspect, and rank Rotifer Genes — directly from your IDE. npx @rotifer/mcp-server Works with Cursor, Claude Desktop, and any MCP-compatible client. npmjs.com/package/@rotif… #RotiferProtocol #MCP
If you could pick ONE thing to fix about current AI agent tooling, what would it be? 1. Security (sandboxing, permissions) 2. Portability (cross-framework) 3. Quality (auto-selection of best tool) 4. Discovery (finding the right tool) Reply with your number. #RotiferProtocol
The Rotifer Protocol in one image. Gene competition. Arena selection. Horizontal transfer. Immutable safety kernel. Five layers that turn static agent plugins into evolving organisms. rotifer.dev #RotiferProtocol #AgentFramework
Three eras of Agent architecture: 2023: Tool-calling loops 2025: Persistent agents + MCP + Skills 2026: Evolving organisms + Genes + Arenas + 3 LLMs stress-tested the CLI as external devs + Windows login bug fix rotifer.dev/zh/blog/agent-… #RotiferProtocol #DevTools
LiteLLM poisoned — 95M downloads. One pip install → credentials stolen. The weapon: a .pth file. Runs on every Python startup. No import needed. The fix we already had: WASM sandbox. No filesystem. No subprocess. No .pth. rotifer.dev #RotiferProtocol #AIAgents
Your AI agent can now search, inspect, and rank Rotifer Genes — directly from your IDE. npx @rotifer/mcp-server Works with Cursor, Claude Desktop, and any MCP-compatible client. npmjs.com/package/@rotif… #RotiferProtocol #MCP
Solo protocol builder day: → AI docs assistant — chat + RAG + content filter → 14 WebMCP tools for browser agents → Path traversal guard + schema hardening → 25 architecture decisions documented rotifer.dev #RotiferProtocol #AIAgents
Rotifer v0.8.1 — Ecosystem Reach Chaos experiment: 3 APIs break, agent auto-switches genes. → 83.3% vs 33.3% uptime (2.5x) → 3 auto gene switches, 0 human intervention → New: --from-clawhub migration rotifer.dev/blog/api-apoca… #RotiferProtocol #AIAgents
v0.7.8 shipped — Test Fortification 67 new tests. Zero new features. → path traversal blocked → command injection blocked → token leak prevented → network failure graceful rotifer.dev #RotiferProtocol #AISafety
🧬 Rotifer v0.7 — Hybrid Evolution Genes break out of the sandbox. → Hybrid Gene: WASM + network access → 4-gene AI pipeline (we dogfood) → VS Code extension on Marketplace rotifer.dev/blog/v0.7-hybr… #RotiferProtocol #OpenSource
There's a missing layer in the AI concept stack: Token → LLM → Prompt → Context → ??? → Agent → Harness Context = what AI knows Agent = how AI acts But what defines what AI can do? Gene: evolvable, evaluable, portable capability units. #RotiferProtocol #AI
AI大神@karpathy Autoresearch项目的 train.py、val_bpb、program.md，恰好对应 @rotiferdev 的 Gene、适应度函数、L0 宪法层——两个独立项目收敛到同一个最小架构：可变异单元 + 适应度函数 + 不可变约束 = 计算进化的通用范式。 #rotiferprotocol #AgentEvo
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