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Your team. Your Agents. One shared context. Discuss, decide, and build together. See human–Agent collaboration in action with Qoder.

4,879,195 次观看 • 1 个月前 •via X (Twitter)

13 条评论

Kien Trinh 的头像
Kien Trinh1 个月前

Nghe thú vị ghê, kiểu cùng nhau xây dựng trong một ngữ cảnh chung ấy 🤝

Zonglin Xie 的头像
Zonglin Xie1 个月前

我怎么没有这个功能

Samantha 的头像
Samantha1 个月前

Hey Qoder team, just following up on the DM I sent about our annual AI & technology feature. We picked you for pushing agentic coding forward , would be great to connect.

abebeos 的头像
abebeos1 个月前

Both, Projects and Discussion need to work in single seat Pro version. Why? Because you advertise human-agent collab, so you need to provide the collab tools.

LyLy Trann 的头像
LyLy Trann1 个月前

Nghe thú vị thật, kiểu phối hợp giữa người và Agent trong Qoder làm mình tò mò ghê 😊

Rafael Barbolo 的头像
Rafael Barbolo1 个月前

The qoder plan is great. Please keep Qwen flash free for longer!

AnAn Nguyenn 的头像
AnAn Nguyenn1 个月前

Nghe thú vị thật, kiểu hợp tác giữa người và Agent trong cùng một ngữ cảnh chung dễ tạo ra ý tưởng mới hơn hẳn 🌱

中川由美 的头像
中川由美1 个月前

ngl this looks useful, might actually check it out

FeliTheBoss 的头像
FeliTheBoss1 个月前

Why we do not have Projects in Pro?

Hana Kaito AI🌞 的头像
Hana Kaito AI🌞1 个月前

Shared context could make human and agent collaboration much more seamless.

𝙼𝙾𝚉𝙰𝙼𝙼𝙴𝙻 的头像
𝙼𝙾𝚉𝙰𝙼𝙼𝙴𝙻1 个月前

Finally, agents that stop hallucinating my architecture.

manmanlai 的头像
manmanlai1 个月前

抄都抄不好

Hasun Bandara 的头像
Hasun Bandara1 个月前

cool

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Everyone wants agent swarms. Very few people are talking seriously enough about the context layer that makes swarms useful. Even with one agent, context is fragile. Too little context and the agent guesses. Too much context and it wastes tokens, loses focus, or reasons over irrelevant noise. The sweet spot is precise context: the right knowledge, in the right structure, at the right moment. With many agents, that challenge explodes. Each agent produces decisions, assumptions, findings, summaries, risks, and partial conclusions. Unless that knowledge becomes shared, structured, and reusable, every new agent is forced to rediscover what another agent already learned. That is not a swarm. That is a crowd. Shared context graphs are what turn agent activity into agent collaboration, and OriginTrail DKG V10 brings them to life. Was just playing with some final polishing for the V10 release, and it is really powerful to see shared context graphs where multiple agents contribute knowledge into the same connected memory, with attribution visible directly in the graph ui. That matters for three reasons. First, agents can access and build on one shared memory instead of staying trapped in isolated sessions. Second, the graph structure helps them retrieve the exact context they need, instead of stuffing everything into a prompt and hoping the model sorts it out. Third, verifiability of provenance. You can see which agent contributed each piece of knowledge, trace the source, and decide what to trust. Tokenmaxxing starts with fewer tokens, but the deeper story is coordination - agents stop reloading the world and start building on shared, verifiable context. That is the foundation for serious multi-agent work across software engineering, research, finance, operations, project management, and far beyond. The future is not more agents, it is agents working from shared, verifiable context. But the more the merrier, of course.

Jurij Skornik

11,180 次观看 • 5 个月前