Developers
Recover context from your own sessions, review what the agent actually tried, and turn repeated friction into better local workflows.
// use cases
Use cases for coding-agent observability.
AgentPM helps teams inspect Claude Code, Codex, Cursor, Grok, and local coding-agent sessions so prompts, commands, retries, decisions, and open loops become searchable engineering evidence.
// category language
coding agent observabilitycoding agent session trackingClaude Code team visibilityCodex session trackingCursor session trackingGrok session trackingagent session searchagent audit trailprompt-to-PR evidenceagent workflow coaching
Engineering leads
See where agent-assisted work is happening across repos and machines without asking every developer to reconstruct their day.
Technical leaders
Understand decisions, risks, and unresolved work before context disappears into chat history and terminal output.
// evidence paths
Start from the agent-work question your team needs to answer.
Category
Coding Agent Observability
See the coding-agent work that happens before a pull request, ticket, or review: prompts, commands, retries, files, decisions, and unresolved loops.
Claude Code
Claude Code Team Visibility
Give teams a shared view of Claude Code sessions without asking developers to manually summarize prompts, retries, commands, and decisions.
Codex
Codex Session Tracking
Track Codex work from prompt to local commands, file edits, test runs, open loops, and review-ready evidence.
Cursor
Cursor Session Tracking
Capture Cursor agent transcripts alongside Claude Code, Codex, and Grok work so teams can review prompts, edits, tool output, and unresolved loops in one evidence layer.
Grok
Grok Session Tracking
Track Grok coding-agent sessions from local JSONL evidence into searchable transcripts, review context, and team-level workflow signals.
Search
Agent Session Search
Search across coding-agent sessions to find prior decisions, repeated failures, terminal output, implementation attempts, and reusable workflow patterns.
Evidence
Agent Audit Trail
Keep a reviewable audit trail of agent-assisted software work: what was asked, what ran, what changed, what failed, and what remained unresolved.
Review
AI Code Review Context
Give reviewers the missing context behind agent-assisted code: prompts, commands, failures, decisions, and what the agent left for humans to verify.
Leadership
Engineering Lead Agent Visibility
Help engineering leads see where agent-assisted work is happening, where teams are stuck, and which practices should become repeatable workflows.
Coaching
Agent Workflow Coaching
Use real coding-agent sessions to spot repeated friction, planning misses, skill gaps, and reusable practices your team can improve next week.
// where it fits
AgentPM sits before the clean artifact.
Before GitHub has a final pull request.
Before Jira or Linear has a clean task history.
Before a reviewer knows which checks ran.
Before a lead can see the pattern across sessions.