Back to Ecosystem Pulse
ToolExperimental
plandb
by Agent-Field
Issue tracker and task graph for autonomous agents
Rust
Updated May 5, 2026
Share:
What It Does
Tracks tasks, issues, and dependencies produced by autonomous agents so teams can treat agent activity like engineering work. Stores a task/issue graph, history, and metadata (actors, decisions, timestamps) so you can query an agent's past behavior and task outcomes. Implemented in Rust with a CLI and SQLite backend for lightweight, local agent issue tracking.
Why It Matters
As agents act autonomously, their decisions must be auditable and comparable to build trust — a classic issue tracker mindset applied to agents fills that gap. Plandb makes agent actions first-class records you can query, triage, and link into evaluation pipelines, which is essential for building agent track records and diagnosing multi-agent system failures. Until teams log agent interactions and outcomes consistently, reliable agent-to-agent evaluation and continuous reputation signals remain out of reach.
Ideal For
Developers and teams who need to record, query, and triage autonomous agent actions and task dependencies during development or pre-production testing. This is especially helpful to triage autonomous agent actions and manage task dependencies.
Real-World Examples
- Record agent decisions and outcomes for post-hoc analysis and accountability
- Manage task dependencies and handoffs between specialist agents in orchestration flows
- Triage agent failures, link incidents to root causes, and assign remediation tasks
Works With
sqlite
Topics
agent-coordinationagenticai-agentsautonomous-agentsclidependency-graphdeveloper-toolsissue-trackerllmmcp+6 more
Similar Tools
linearjira
Keywords
agent track recordagent interaction loggingmulti-agent orchestrationagent reputation