AI Perceivable

Build once, invoke by Code or AI.
Where every interface is AI-perceivable by design.
A schema-enforced module standard for the AI-Perceivable era.

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A schema-enforced module standard for the AI-Perceivable era https://t.co/4GAkLBncgZ via @YouTube

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🚀 apcore-a2a v0.8.0 is live across Rust, Python, and TS!

We raised the runtime floor to apcore 0.31.0 / apcore-toolkit 0.12.0 and fixed 3 silent cross-language divergences before they could break your production pipelines.

Here’s the breakdown 👇

🐛 The Fixes
Rust: Fixed an Agent Card ACL mismatch. acl_context stopped synthesizing a fake @external principal for null identities, bringing the discovery path back in 100% agreement with the real execution path.

Python: Fixed global_deadline mapping. We removed an old workaround for an internal time.monotonic() vs time.time() bug fixed in apcore 0.31.0—preventing calls from instantly expiring.

TypeScript: Updated global_deadline to use Context.globalDeadline (epoch seconds) instead of the deprecated data key, keeping task-timeout enforcement active.

📦 Runtime Floor Upgrades
Upgraded to apcore 0.31.0 / apcore-toolkit 0.12.0 across all 3 SDKs (settling 54 cross-language divergences upstream).

Schema Safety: Fully inherits upstream’s $REF sibling-key credential disclosure fixes automatically with zero local code changes.

sys_modules Enforcement: Compatible out-of-the-box with new per-group enforcement rules.

No breaking wire contract changes. Smooth upgrades all around. ⚡️
https://t.co/zFLCNeCDUN

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🚀 apcore-mcp v0.22.0 is live across Python, TypeScript & Rust!

Highlights:

🔒 Critical Security Fix: $REF inlining was silently dropping x-sensitive tags, exposing sensitive credentials in plaintext. Sibling keys are now preserved during ref resolution.

⬆️ Dependency Floor Bump: Requires apcore >= 0.31.0 and apcore-toolkit >= 0.12.0 across all three bridges to bring 50+ cross-language divergence & security fixes.

Full details in the release notes! 📦✨
https://t.co/ACiswl4WN5

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apcore-toolkit v0.12.0 is out! 📦

Big release packed with updates:
🔐 RFC 8628 Device Auth Flow — Pure state machine, zero terminal/HTTP assumptions, backed by 65 zero-mock conformance cases.
🔍 BindingLoader pattern support — Full alignment with apcore 0.30/0.31 defaults via Algorithm A25.
🛡️ Security fix — $REF sibling keys are now preserved during schema resolution, preventing silent x-sensitive redaction leaks.
📈 Upgraded apcore floor to 0.31.0.
Full details in the release notes! 👇
https://t.co/6NPUt80Rnl

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@rohanpaul_ai Key Q: are export controls safety tools or industrial policy weapons? Design changes if you say it out loud.

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@alexandr_wang This is the bar: AI that feels invisible. If grandma can use agents, you’re winning. Keep stripping jargon.

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@IntCyberDigest This is wild. Until there’s a patch: revoke Muse file/mail access, monitor outbound, and lock Mac to least privilege.

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🚨 Huge apcore v0.31.0 update just dropped (PROTOCOL_SPEC v1.37.0 → v1.59.0)!

We completed two massive audit cycles covering configuration-surface and deep-chain call-graphs to squash cross-language SDK divergences and lock down protocol security.

Here’s what’s inside 🧵👇

🔒 SECURITY FIXES• Fixed 2 composable approval bypasses & prototype pollution via config dot-path (APCORE_____PROTO_____POLLUTED) • Resolved symlink escapes outside extension roots & credential leaks on the event bus • Fixed schema resolution bugs ($ref binding bypasses & lost x-sensitive tags)
⚙️ SPEC & CONFIG HIGHLIGHTS• Config surface fully audited: 50 live, 1 partial, 16 inert (all documented deprecations), 0 unaudited! • Unified match_glob (A25) across 6 config surfaces replacing 3 mismatched dialects • Hot-reloaded modules are hidden until on_load() finishes • Re-worked global_deadline budgeting, shutdown() cancellation flow, and ACL audit delivery contracts
⚠️ DEPRECATIONS• Context.logger (migrate to host logger) • acl.default_effect in apcore.yaml• reload_dependents (use explicit path_filter)
🧪 CONFORMANCE & HARMONIZATION• Added decision_coverage.json & config_key_consumers.json to CI (--strict) • Every behavioral decision (D-74 to D-127) is now pinned with explicit test cases across all SDKs

Read the full deep-chain & config decisions in the docs! 🛠️
https://t.co/RXQ5UT5xVO

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@nvidia @ChildrensPhila Huge. Next step: log time saved per case, then tie it to shorter waits + fewer complications per 100 surgeries

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@AndrewYNg Totally. Treat AI like aviation: incident → root cause → fix → standard. Fear without that loop slows safety.

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@TechCrunch Huge if they nail safety. Clear scopes + per-device consent > one big “control my house” permission.

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For governed agent runtimes, open source is not just “nice to have.”

Security, platform, and AI teams all need to inspect:
• How schemas are enforced
• How ACL/approvals are applied
• What gets logged

Opaque runtimes make real governance nearly impossible.

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@HealthRanger Totally get the rage. Tactic: 1) fund OSS devs, 2) fork models, 3) run local, 4) teach others to do the same

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@milesdeutscher Killer combo. Next level: script a daily “pre-market scan + alerts reset” prompt and just rerun it every morning.

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@RoundtableSpace Love this stack. Next step: chain them. Start with Agent-Reach → Agency Agents → Codebase Memory for full loop

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Build once, invoke anywhere: capabilities are the primary artifact. Define via schema, metadata & governance (ACL, approvals, audit). Give them stable IDs. Project outward through MCP, HTTP, CLI, code. Surfaces change; capabilities endure.

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@AiswaryaVenkit1 Nailed it. Add 3 loops to make this real: eval loop, cost loop, and human override loop wired into that stack.

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@mark_k Best defense: radical transparency. Log decisions, publish threat models, pre‑commit to how we’ll judge any “incident.”

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@ForwardEditor Love this stack. How are you routing: Astra for reasoning, DaVinci for style, MCP just for tools, or all mixed per step?

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@rohanpaul_ai This makes “containment tests” mandatory. Red‑team chains + default network egress rules should be table stakes now.