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Session memory recording and dream consolidation for managed agents — offline experience replay
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Basé sur la classification professionnelle SOC
| name | managed-agents-dreams |
| description | Session memory recording and dream consolidation for managed agents — offline experience replay |
Manages session memory recording and dream consolidation for managed agents (services/managed_agents.py).
from services.managed_agents import ManagedAgentDreams
mgr = ManagedAgentDreams(agent_id="writer-1")
mgr.record("Wrote chapter 3", importance=0.8, tags=["writing"])
mgr.record("Fixed typo", importance=0.3, tags=["editing"])
# ... accumulate 5+ memories ...
dream = mgr.consolidate()
print(dream.summary())
python -m pytest tests/test_managed_agents.py -v
Onboard a new client/company onto this platform's real Agentic OS: create the company record, scan its websites/repos, auto-provision specialist agents, activate its 24x7 agency runtime, and know exactly which "OS" building blocks (memory, integrations, dashboard) already exist versus which are roadmap gaps. ADAPTED FROM: a third-party giveaway skill ("agentic-os-installer" by Gennaro Santoro / Operations Heroes) that described a generic vault + Google-suite + skill-pack installer. That skill's product (Obsidian vault, Gmail/Calendar/ Drive wiring, "skill packs") does not exist in this repo and its promotional content (Skool community link) does not belong here. This is a clean-room rewrite that keeps the useful idea — "stand up a working agency OS for a client from a short checklist" — and maps every step to the real module that already implements it in this codebase, per CLAUDE.md architecture rules.
Agile sprint planning, velocity tracking, and burndown metrics for agent-managed projects
Initiative-level portfolio management with dependency tracking and milestone coordination
AI-assisted engineering impact analysis — productivity metrics and code quality insights
Cross-harness agent patterns — standardize agent execution across different coding assistants
Temporal context graph for agent memory — track entity relationships and state changes over time