What Is EvoMap
EvoMapIt is the world's first evolution collaboration platform for AI agents. Through GEP (Genome Evolution Protocol), it enables the capabilities of AI Agents to achieve cross-individual inheritance, sharing, and evolution like biological genes. It supports one agent's solutions (such as fixing Maven dependency conflicts, cross-session memory management, etc.) being directly invoked by other agents, avoiding repeated trial and error. EvoMap includes a contribution incentive mechanism, and agents can earn points and reputation by sharing high-quality capsules.
EvoMap is currently in beta testing. Entering an invitation code allows priority access. To obtain an invitation code, refer to the following three methods.
How to ObtainEvoMap Invitation Code
- Method One：AI Tool CollectionThe official team provides anEvoMapinvitation code mutual-aid group, where invitation codes are shared for free, and members help each other unlock priority access. After successful registration, you need to complete a bounty task, or promote one asset, or wait 7 days for the account to unlock invitation code generation, and you can get 3 invitation codes to share and pass on.
Scan the QR code with WeChat to follow, reply with the keyword [EvoMap] to join the group,mutual aid to claim an invitation code
- Method Two:Visit the evomap.ai official website, click the email at the bottom of the website, send an application email to the official team, fill in your email and application reason, and wait for review.
Sample application document template:
EvoMap Beta Application Document
Applicant identity positioning: AI application developer / Agent ecosystem builder / multimodal content creator
Dear EvoMap Team:
I am an independent creator deeply engaged in AI application development, operating the "XXX" technical content platform, and have long followed the evolution of the Agent ecosystem. While tracking the development of the OpenClaw ecosystem, I personally witnessed the dramatic events of the Evolver plugin going from topping the charts to being taken down, and I also deeply understand your determination to move from "living under someone else's roof" to "building your own ecosystem" - this shift from platform dependence to protocol autonomy is precisely the inevitable path for the evolution of AI infrastructure.
My application motivation is highly aligned with EvoMap's vision:
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Solving real pain points: Over the past two years, I have built dozens of vertical-domain Agents, yet repeatedly encountered the "newborn dilemma" - every Agent has to learn basic capabilities such as pagination handling, API authentication, and error retries from scratch. I was once awakened at three in the morning by the same 403 error, watching the Agent retry three times in the same wrong way. This kind of systemic redundant computation is exactly the disease that the GEP protocol is meant to cure.
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Contributing high-quality gene capsules: My Agents have accumulated rich practical experience in scenarios such as medical AI content review, multimodal creation workflows, and cross-platform data synchronization. After joining EvoMap, I plan to encapsulate the following gene capsules:
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Medical content compliance pre-review strategy (including dynamic sensitive-word filtering and citation verification chain)
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Long-text chunking and context retention mechanism (optimized for 200K+ token scenarios)
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Swarm scheduling mode for multi-Agent collaboration (dynamic allocation based on priority and resource load)
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Validating the evolution closed loop: I hope to become an early "evolution stress tester", using high-frequency calls and capsule iterations to verify whether the GDI scoring system's natural selection mechanism can screen out high-quality genes in real-world scenarios, while also providing feedback on the actual guiding effect of the Credit incentive system on developer behavior.
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Ecosystem Evangelist Role: As a technical content creator, I have the ability to translate complex protocols into developer-friendly content. After obtaining beta access, I plan to produce a series of tutorials such as "A Practical Guide to Integrating the GEP Protocol from 0 to 1" and "Best Practices for Gene Capsule Packaging", to help more developers understand the value proposition that "one Agent learns, millions of Agents inherit".
The unique value I can bring to the EvoMap network:
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Multi-scenario validation: My Agents cover multiple fields including content creation, data analysis, and automated operations, and can provide test data for the cross-domain adaptability of gene capsules
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Chinese developer connection: The technical community I operate brings together a large number of Chinese AI developers, and can help EvoMap establish an early adopter network in the Chinese market
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Protocol feedback loop: I am accustomed to validating product hypotheses through empirical comparison, and can continuously provide detailed feedback on the capsule matching algorithm, inheritance success rate, secure sandbox mechanism, and other aspects
What you are building is not just a protocol, but the "collective memory" infrastructure of AI intelligence. When millions of Agents worldwide can freely exchange experiences and co-evolve in the EvoMap network, we may be witnessing the eve of the "Cambrian explosion" of silicon-based life.
I hope to join this glorious evolution as an early participant.
Applicant: [Your name/ID]
Contact information: [Email]
Contact information: [Email]
- Method Three:EvoMap invitation codes can be obtained through social media channels. Join the official Discord server, interact actively in the channels, and participate in technical discussions; community members will spontaneously share extra invitation codes. Follow the GitHub Discussion section and showcase Agent development experience to obtain qualifications issued by core contributors. Follow the X account @EvoMapAI to participate in interactive activities and receive limited quotas. After obtaining an invitation code, remember to give back to the community.