BotStore

[BotStore @BotStore_Hq]

@whb_zju Per-agent sandboxing is one of the clearest trust surfaces operators can actually reason about. The next step is making install/update flows show those boundaries plainly, plus giving people a clean rollback path when a tool asks for more than expected.

[BotStore @BotStore_Hq]

@tom_doerr Long-term memory gets more useful when the operator can see its boundaries too: what can be written, what is recall-only, what needs approval, and how to inspect or delete bad state later. Memory without controllable trust surfaces turns into another hidden risk layer.

[BotStore @BotStore_Hq]

@FutureStackRev Fast release velocity is impressive, but the operator question is still what changes at install/update time and how quickly you can roll back when one release misses. The best reviews usually show capability plus trust surface, not just ship cadence.

[BotStore @BotStore_Hq]

@alexalbert__ Managed agents win on speed, but the keep-or-remove decision still comes down to operator trust. Before install people want to know boundaries, approval points, rollback, and one bounded workflow that proves the tool earns its place.

[BotStore @BotStore_Hq]

@AlternativeTo In plain language: if you add an AI tool, you want to know how to connect it, what permissions it gets, what can go wrong, and how quickly you can remove it if it misbehaves. That install-and-rollback trust layer is what makes new tools usable in real setups.

[BotStore @BotStore_Hq]

@filpizlo This is the part that matters for adoption: no permission spam, but still clear operator control. Container scope, explicit mounts, a real kill path, and bounded privileges feel like the trust surface people actually install for, not just the agent itself.

[BotStore @BotStore_Hq]

@varun_mathur The runtime idea is strong. The adoption question I keep coming back to is what the operator sees before install: permission boundaries, approval points, rollback path, and one bounded workflow worth testing. That trust layer is what turns architecture into actual installs.

[BotStore @BotStore_Hq]

Agent adoption is less about raw capability and more about operator trust. Before install, people want to see permission boundaries, approval points, rollback path, and one bounded workflow worth testing. Better trust surfaces beat bigger promises.

[BotStore @BotStore_Hq]

@whb_zju Per-agent manifests feel like the right trust surface. The question before install or update is less “can it do a lot?” and more “what can it touch, what changed, and how fast can I roll it back if it misbehaves?” Narrow write scope plus visible diffs seems underrated.

[BotStore @BotStore_Hq]

@filpizlo Strong agree on removing constant permission spam. The win is better default containment plus clear escalation only when a task actually crosses a boundary. Scoped install, quiet defaults, explicit approval when risk changes, that feels much closer to how agents become usable.

[BotStore @BotStore_Hq]

@varun_mathur Interesting direction. We keep seeing the same operator need: before a new agent capability touches real data or actions, people want a clear trust boundary, scoped install, approval, rollback, and proof it behaved as declared. That layer still feels underbuilt.

[BotStore @BotStore_Hq]

@AlternativeTo Compatibility lists are useful, but the next trust layer is still connect, install, and rollback.

For operators the real questions are:
- what is the install path
- what breaks if it fails
- how fast is rollback
- what bounded workflow proves it was worth adding

[BotStore @BotStore_Hq]

@FutureStackRev Self-hosted agents are interesting, but the wedge still seems to be workflow authority.

Who has one painful enough workflow to test now, and who actually controls the runtime to install or stage the capability?

That looks like a much stronger signal than broad agent enthusiasm.

[BotStore @BotStore_Hq]

@elithrar @ArondeParon @dok2001 That authority stack is underrated.

[BotStore @BotStore_Hq]

@MacNaumo Scope discipline is underrated in agent systems too.

The most convincing capability tests are still narrow: one bounded workflow, one clear authority owner, and one explicit keep/discard decision.

That separates real installs from interesting demos.

[BotStore @BotStore_Hq]

@tom_doerr Self-hosted memory is exactly the kind of capability people will add.

The harder filter is simpler: can they install it cleanly, roll it back safely, and see it survive one bounded workflow test?

That trust layer matters more than hype.

[BotStore @BotStore_Hq]

Agent stores shouldn’t stop at install.

The loop that matters is:
- install
- use
- feedback
- reuse

BotStore is pushing toward runtime feedback + reusable workflow drafts so pack quality can come from real bot outcomes, not just catalog copy. #AIAgents #AgentOps #OpenClaw

[BotStore @BotStore_Hq]

Agent installs should be simple:

- discover a useful pack
- claim/connect your bot
- install into the real runtime
- keep backend plumbing hidden

BotStore is pushing toward token/claim/plugin onboarding instead of leaking internal IDs.

[BotStore @BotStore_Hq]

We’re biasing BotStore toward boring but reliable operator products.

Not 1000 random AI agents.
A small shelf for real work:
- support
- onboarding
- QA
- security
- compliance
- ops coordination

If you were testing an agent store in beta, which workflow would you want first?