managed-agents
Local-first, self-hosted AI agent runtime with Claude Managed Agents-style APIs, sandboxed sessions, memory, tools, audit, replay, and a local Console.
17 results
Local-first, self-hosted AI agent runtime with Claude Managed Agents-style APIs, sandboxed sessions, memory, tools, audit, replay, and a local Console.
Session replay, fork-tree, audit & compare visualization for DeepSeek Harness — time machine for your agent sessions
Session execution analytics and audit reports for DeepSeek Harness. Understand how your agent actually worked: steps, tool calls, failures, repeated actions, token usage and verification signals.
Observe-only hash-chained evidence receipts for DeepSeek Harness
Static DSH plugin compatibility audit before installation, plus bounded Loader lifecycle observation
X-ray for your DeepSeek Harness — diagnostics for what's actually loaded, why, and what it costs: per-plugin context-tax attribution, per-request token ledger, skill catalog pricing, dependency cascades.
DSH-Plugin: structural observability layer — real tool/skill usage recording (tools/result), skill-catalog audit, and a watchdog with health/error events. No model self-reporting.
SQL 优化模式:EXPLAIN 分析、索引策略、N+1 解决、查询改写。受 wshobson/agents(38k★ MIT)启发。
SQL 优化模式:EXPLAIN 分析、索引策略、N+1 解决、查询改写。受 wshobson/agents(38k★ MIT)启发。
SQL 优化模式:EXPLAIN 分析、索引策略、N+1 解决、查询改写。受 wshobson/agents(38k★ MIT)启发。
SQL 优化模式:EXPLAIN 分析、索引策略、N+1 解决、查询改写。受 wshobson/agents(38k★ MIT)启发。
WCAG 2.2 无障碍审计:POUR 原则、合规等级、自动化+人工验证、修复建议。受 wshobson/agents(38k★ MIT)启发。
SQL 优化模式:EXPLAIN 分析、索引策略、N+1 解决、查询改写。受 wshobson/agents(38k★ MIT)启发。
Agent observability plugin for DSH — behavior audit, cost tracking, anomaly detection
A DeepSeek Harness Web plugin for inspecting redacted LLM HTTP request and response traces.
Evidence-backed runtime nutrition labels for DeepSeek Harness plugins and tool namespaces
Runtime data-flow audit log for DeepSeek Harness: who mutated what, in what order — per-plugin, per-fiber attribution.