Agent Toolkit
Runtime-side helpers for local agent operations, memory hygiene, and governed execution support.
Positioning
The toolkit is a runtime-side companion to DashClaw, not a separate product tier. These utilities help local operators and governed runtimes stay healthy, while the DashClaw control plane remains the system of record for policies, approvals, replay, and evidence.
Operations & Continuity
session-handoff
CLIGenerates structured handover documents for agent session continuity.
python handoff.py creategoal-tracker
CLITracks goals, milestones, and real-time progress markers.
python goals.py add "Feature X"daily-digest
CLIAggregates all agent activity into a single daily summary.
python digest.py generateproject-monitor
CLITracks engagement across different systems and repositories.
python monitor.py statusKnowledge & Learning
learning-database
CLILogs key decisions and lessons learned with outcome tracking.
python learner.py log "Decision X"memory-health
CLIScans memory files for duplication, staleness, and knowledge density.
python scanner.py scancontext-manager
CLIManages key points and organizes context into topical threads.
python context.py capturememory-search
CLIAdvanced search utility for semantic lookup across agent memory.
python search.py "auth flow"Security & Governance
outbound-filter
CLIScans agent responses for leaked API keys, tokens, or PII.
python filter.py scan response.txtsession-isolator
CLIEnsures agent work remains within specific directory boundaries.
python isolate.py check .audit-logger
CLILocal-first append-only log of all shell commands executed.
python audit.py tailtoken-optimizer
CLIAnalyzes prompt history to suggest context window efficiencies.
python optimize.py analyzeIntelligence & Discovery
memory-extractor
CLIAutomatically extracts entities and topics from raw memory files.
python extract.py entitiesrelationship-tracker
CLIMini-CRM for tracking contacts and previous interaction summaries.
python crm.py contact "Alice"error-logger
CLIIdentifies recurring failure patterns in agent execution logs.
python error_log.py analyzecommunication-analytics
CLIAnalyzes tone and style consistency across messages.
python stats.py communicationReady to govern your agent?
Use the toolkit alongside the SDK or runtime adapters, then connect everything back to the DashClaw control plane.