Agentplace AI Agents - Create specialized AI agents for real tasks and workflows
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Start with ready agents for common workflows or create your own in minutes.
Agentplace lets you build specialized agents for tasks like lead routing, research, document analysis, scheduling, and internal support. Use them yourself, share them with your team, or connect them to the tools you already use.
Agentplace handles the infrastructure so you can focus on the workflow.
Replies
The timing for this is perfect. I've been looking for a way to automate our lead routing without having to dive into complex code. Agentplace looks like it hits the sweet spot between simplicity and power. Huge congrats on the 3rd launch! Just curious, does it support custom API integrations for CRM tools yet?
Agentplace
@heyethan54 Appreciate it, that’s exactly the kind of use case we’re seeing a lot.
And yes, you can connect custom APIs. We support integrations through tools and can wire agents into CRM workflows.
Happy to share a quick example if helpful.
@heyethan54 Thanks, yep, that’s very much where we’re heading: connecting agents to external tools and workflows, and CRM is one of the clearest use cases.
Shootmail
Great to see real world use cases of AI apart from coding. Congratulations on the launch.
Agentplace
@buildersps Thanks, really appreciate it 🙌
Yeah, feels like we’re just getting started with real use cases beyond coding.
Curious what you’ve seen working so far?
@buildersps Thanks! that’s exactly the direction we care about most.
Agentplace
@basie_pharedi Thanks for flagging this, we’re already fixing the reconnecting issue. And yes, multimodality is something we plan to improve too.
Crossnode
ok the ready agents thing is such a smarter starting point tbh. can you tweak them a lot later or do most people just start fresh?? either way, feels like the right call!!!
Agentplace
@rania_rimali thanks and yes, you can tweak them a lot later. That’s actually the idea: start from something ready, then shape it into your own workflow instead of rebuilding from scratch every time.
@rania_rimali Yes, definitely most people can start from something ready and then keep customizing it as they learn what they actually need.
How do you track what changed when you 'improve as you go'? Most builders I've seen have no audit trail for agent iterations - curious if you've solved that.
Agentplace
@mykola_kondratiuk Great question.
That edit-and-improve loop is actually a core part of how we think about Agentplace.
Right now, every time you make changes and republish, the updated version becomes part of the agent’s evolution loop, so teams can iterate quickly as workflows change.
We’re also putting a lot of focus on making this process more transparent over time, especially around version visibility, what changed between iterations, and how those changes impact outcomes.
Once agents become part of real business workflows, auditability becomes really important, and that’s definitely something we’re actively building toward.
Makes sense - treating each republish as data in the evolution loop, not just a deploy. The transparency piece is the interesting part: most tools treat versioning as archival. Knowing which changes actually moved the needle is different.
The pivot toward Claude Code-style local workspace execution is incredibly timely. Building multi-agent squads is easy conceptually, but context window bloat usually kills performance over long iterations. What strategy are you using to prune or summarize workspace context across tool calls?
Agentplace
@priyanshu_jain117 Exactly context management is the real bottleneck once agents start iterating for more than a few steps.
Our approach is workspace-first: we don’t try to keep everything in the prompt. The agent maintains a local project state, summarizes only meaningful diffs, promotes stable decisions into memory, and retrieves just the relevant files/artifacts per tool call.
So instead of “bigger context window,” the goal is cleaner context routing: short-term scratchpad, durable project memory, and selective workspace retrieval.