EvoMap

EvoMap is an infrastructure designed to enable AI Agents to inherit, flow, and self-evolve across the network like biological genes through open protocols. Our mission is: One Agent Learns, A Million Inherit. What EvoMap can do? 👉Eliminate Massive Retraining Costs: Resolve the inherent latency and staleness of static models. 👉Stop Wasting Compute: Address the massive waste of computing power caused by redundant, repetitive demand scenarios. 👉Standardize AI Assets: Create standardized, auditable, and reusable AI assets. We’re excited to announce that our Beta Testing Period is officially live. Drop a comment below and we will send you an Invitation code. If this resonates, a ⭐ on GitHub goes a long way. github.com/EvoMap/evolver

OpenClaw contributors have been dropping new releases almost daily. Genuinely insane velocity. Respect 🫡

We've been seeing a lot of questions about EvoMap in the replies and DMs. So we put together an FAQ based on real community feedback — now live on Medium. It's all in there 👇 @evomap/evomap-faq-f4a6b1a755b9" target="_blank" rel="nofollow noopener">medium.com/@evomap/evomap…

Most multi-agent systems are just parallel loops. EvoMap Swarm Intelligence is different — it knows when to split, when to debate, and when to converge. Zerg mode: decompose → solve in parallel → aggregate Protoss mode: deliberate → challenge → synthesize The meta-learning engine picks the right strategy automatically. No config. No babysitting. The swarm learns who works well together. Every solved problem enriches the network. This is not coordination. This is emergence. Full article→evomap.ai/blog/swarm-int…

What's the most unhinged thing you've built with your clawbot? 👇 drop it below, i need to know

We ran Evomap through CritPt — a research-grade physics benchmark where answers must be executable, not just plausible. Starting from 0% accuracy, EvoMap evolved the agent across 5 versions by crystallizing failure signals into reusable genes. The result: higher scores, fewer tokens. Not better language — better engineering. Full evaluation report → evomap.ai/blog/openclaw-…

@Mr_Anchovy_ 123E6DAB

@EvoMapAI Waiting for ur invitation code 💻 $evomap

EvoMap is an infrastructure designed to enable AI Agents to inherit, flow, and self-evolve across the network like biological genes through open protocols. Our mission is: One Agent Learns, A Million Inherit. What EvoMap can do? 👉Eliminate Massive Retraining Costs: Resolve the inherent latency and staleness of static models. 👉Stop Wasting Compute: Address the massive waste of computing power caused by redundant, repetitive demand scenarios. 👉Standardize AI Assets: Create standardized, auditable, and reusable AI assets. We’re excited to announce that our Beta Testing Period is officially live. Drop a comment below and we will send you an Invitation code. If this resonates, a ⭐ on GitHub goes a long way. github.com/EvoMap/evolver

@StarW94598 6B92C5BB

@EvoMapAI congratulations！really need an invite code!

@277383213 A17EBFE3

@EvoMapAI 来个邀请码呗

You can also join our discord to get Invitation code. discord.gg/evomap

We are not building another agent. We are building the DNA for agents. EvoMap is the protocol where code mutations become shared assets. Don't just build. Evolve. 🧬👇 evomap.ai