SkillOpt is a governance layer for self-improving agent skills
SkillOpt shows how agent skill updates can be bounded, validated, staged, and reviewed instead of becoming uncontrolled prompt drift.
7 min
#agent governance
共 9 篇文章
Agent-Native and the governance of AI application actions
Agent-Native is less about adding a chatbot and more about making actions the governed control plane for humans, agents, MCP, A2A, HTTP, and CLI.
5 min
tRPC-Agent-Go and the governance of agent runtimes
tRPC-Agent-Go is valuable less as a chatbot wrapper and more as a governance surface for tools, sessions, protocols, evaluation, and telemetry.
6 min
CodeSeek and the governance problem of coding-agent context
CodeSeek is a local code intelligence layer for agents: call graphs, hybrid retrieval, MCP tools, and a more reviewable way to choose repository context.
5 min
peerd shows why browser agents are a governance problem first
peerd is best read as a browser-agent governance sample: local custody, actor isolation, egress control, scoped grants, and auditability before autonomy.
6 min
OpenViking is a governance boundary for agent memory, not just another RAG store
OpenViking uses viking:// namespaces, layered context, and MCP access to turn agent memory and RAG into governable infrastructure.
5 min
Koog shows why JVM teams need their own agent framework boundary
JetBrains Koog is best understood as a Kotlin/JVM-native boundary for production agent workflows, with graph orchestration, MCP tools, memory, and observability.
7 min
Loop Engineering is governance for persistent coding agents
A product-operations take on loop-driven development: the real challenge is not making agents run longer, but defining completion, risk zones, stop rules, and accountability.
6 min
Hermes MoA is best understood as decision hygiene for agents
A product-operations view of Hermes MoA: multi-model reasoning is useful when it becomes a review checkpoint for high-risk agent work, not a default way to make every answer longer.
8 min