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.
20 results
Local-first, self-hosted AI agent runtime with Claude Managed Agents-style APIs, sandboxed sessions, memory, tools, audit, replay, and a local Console.
The execution maze for DeepSeek Harness agents: see how the agent actually worked — main path, detours and backtracks on one timeline, with data tracks, deterministic analysis, and multi-session comparison
Standalone OpenTelemetry GenAI observability plugin for DeepSeek Harness
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.
Explain failed DeepSeek Harness agent runs locally, then produce a redacted recovery plan. No model required.
Task Flow / Execution Graph plugin for DeepSeek Harness (DSH): visualize a single task's full execution — turns, LLM steps, tools, skills, subagents, retries, parallel branches — as an interactive DAG with live updates and trajectory linkage.
Replay and share redacted DeepSeek Harness sessions as standalone HTML
Replay real DeepSeek Harness turns against Standard, Minimal, Anchored, or plugin candidates with frozen request-surface evidence
A continuous, model-assisted semantic debugger for DeepSeek Harness trajectories.
Agent observability plugin for DSH — behavior audit, cost tracking, anomaly detection
A Jupyter-shaped, Git-backed research surface for DeepSeek Harness: session lineage, stable script attempts, visual evidence, provenance, safe previews, and explicitly confirmed reruns.
Litefuse observability for DeepSeek Harness: every user turn becomes one agent trace with per-call generations, tool spans, and subagent subtrees
Read-only live subagent process inspector for DeepSeek Harness Web
Request Context Profiler for DeepSeek Harness — see what changed between model requests, and how cache reuse changed with it.
Local JSONL run traces and a live viewer for DeepSeek Harness sessions
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.
DSH Web plugin for Agent execution quality diagnosis reports.
Design, observe, diagnose, and reuse evidence-backed multi-Agent work in DeepSeek Harness
Replay real DeepSeek Harness turns against Standard, Minimal, Anchored, or plugin candidates with frozen request-surface evidence
Know when your DeepSeek Harness tasks need you. Local alerts, quiet notifications, and a task inbox.