`Agent Vault`: open-source credential proxy for agent egress

The real product here is the pattern: force agent traffic through HTTPS_PROXY, attach creds outside the model, and block direct outbound paths. Useful if you're wiring agents to third-party APIs now; overkill for toy flows, but a solid design to copy.

[ KEY POINTS ]

Instead of handing secrets to the model, requests go through a local MITM-style proxy that injects credentials at the network layer.
The setup stays interface-agnostic: APIs, CLIs, SDKs, and MCP-based tools can keep their existing call patterns with HTTPS_PROXY.
The hard requirement is network control. If agents can still reach the internet directly, the credential-brokering model breaks.
This validates a broader direction already showing up elsewhere: agent security is shifting from prompt guardrails to outbound infrastructure controls.

Originalgithub.com/Infisical/agent-vaultRead original →

// related

#0001
#0001Idea signals GeekNews6 hours ago
Forge UX Gap Around Pure `Git` Workflows
40radar
The debate shifts forge design away from SPA vs SSR and toward how repositories expose version-control behavior. A niche but real opening for developer tools.
- Jujutsu and other VCS users are discussing workflows that major forges still underserve.
- The concern is not SPA/JS vs server-rendered HTML; implementation style is treated as secondary.
- The sharper gap is how repositories represent and operate on version-control concepts, not page rendering.
Source: news.hada.io/topic?id=29704Read original →
FIG-0011:1
40radar
FIG-0011:1
#0002
#0002Idea signals r/SideProject8 hours ago
`ratemydick.ai`: CV-based adult health check hidden behind a rating app
40radar
ratemydick.aiAdult image rating AI — adds health referral signals
A taboo, anxiety-heavy domain is packaged as a fun AI rating flow. The useful pattern is the wedge: entertainment first, medical referral trigger second.
- Founder spent 2.5 months full-time training zone detection, masking, and result analysis; quality claim is >95% accuracy.
- Doctor interviews shaped the second use case: detect possible concerns early and recommend professional advice.
- The product uses a high-curiosity adult hook, but moderation, privacy, and app-store/payment risk are the real business constraints.
Source: www.reddit.com/r/SideProject/comments/1ticgrd/i_custom_tRead original →
FIG-0021:1
40radar
FIG-0021:1
#0003
#0003Idea signals Google AI Forum9 hours ago
`Antigravity` Feature Request: Edge-Pruned Local-Cloud Context
50radar
AntigravityAI coding IDE — Gemini-powered agent workspace
Large codebases make full-workspace prompts expensive and slow. LSP maps plus an on-device gatekeeper could become a practical IDE feature.
- Proposed stack: local LSP/Tree-sitter indexing, a compact code model, then cloud inference for the heavy reasoning.
- The cloud model would request missing context via commands like find_dependencies("TargetClass"), avoiding full repo upload.
- This is not shipped; it is a one-user feature request. Value is the product signal, not an immediately usable workflow.
- Clear SaaS angle: token pruning, privacy filtering, and dependency retrieval can be sold as agent tooling middleware.
Source: discuss.ai.google.dev/t/feature-request-hybrid-local-cloRead original →
FIG-0031:1
50radar
FIG-0031:1

`Agent Vault`: open-source credential proxy for agent egress

// related

Forge UX Gap Around Pure `Git` Workflows

`ratemydick.ai`: CV-based adult health check hidden behind a rating app

`Antigravity` Feature Request: Edge-Pruned Local-Cloud Context