Boost.space v5 - Shared Context for your AI Agents & Automations
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Most AI agents & complex automations fail because they’re operating in the dark. Boost.space provides the persistent context layer that turns siloed LLMs into an integrated business intelligence system. Give your automations & agents a "Shared Brain." so all workflows has the full context of your business—from past interactions to live database states—allowing workflows to compound instead of breaking.
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ConnectMachine
I like the idea of “persistent context layer” because memory / context have always been a concern for complex automation workflows.
Boost.space
@syed_shayanur_rahman Word! Thanks for the support 🤞
Congratulations!!!
Boost.space
@madalina_barbu Thank you!
Documentation.AI
Congrats to the whole team! @matous_kralik @tadeas_marek
The product positioning is super clear and resonates deeply with real automation pain points. I have seen some of your previous launches, good to see the product keeping up with the times.
Boost.space
Thanks for being here again 🔥📈
Boost.Space has come a long way and I love how powerful it is and could be overwhelming like GHL. Even just using the automation feature of it is already very powerful on its own. Thanks for keep innovating!
Boost.space
@endymion_cheung Thank you for showing up 👌
a SSOT with two-way sync plus enrichment becomes a conflict-resolution and provenance problem fast (loops, last-write-wins surprises, and agents acting on stale context across tenants). Best practice: anchor everything on an append-only change log with CDC-style connectors, explicit idempotency keys, and policy-as-code for tool access (OPA or OpenFGA) so every field has lineage and every action is auditable. Question: how do you
detect and resolve write conflicts across sources (per-field versioning vs LWW), and can agents query a time-travel snapshot of the Unified Grid for reproducible runs?
Boost.space
@ryan_thill very complex question, but to put it simply - each source/scenario has its priority and you can set that up on field level as well as field groups. With more details - make sure to hit our support up or checkout Docs. We got tons of articles and usefull resources over there 🔥
@matous_kralik Totally fair, source priority with field and field-group overrides is the right mental model. As volume grows, the key is pairing that with clear “who wrote this” provenance to avoid sync loops and make conflicts debuggable. If you connect with us, we can point you to the exact docs or help you map your setup to the right priority rules.
Lancepilot
Boost.space
@priyankamandal completely. We got 14 days trial, feel free to jump in and play around a bit 🤞
Scoutflo
Great product video. Can I get a free trial?
Boost.space
@kalpesh_bhalekar1 sure thing, 14 days trial a Freemium is available 🔥
This launch makes a lot of sense for where AI agents are headed.
Boost.space
@ragsyme glad to hear that and glad you see that 🤌
Lancepilot
Big launch! 👏 The agent collaboration angle is especially exciting for complex enterprise workflows.
Boost.space
@istiakahmad enterprise here we come! 🤞
Lancepilot
Boost.space
@odeth_negapatan1 took us a while but yeah - just the AI Mapping helps a ton 🤞