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// use cases / cursor-session-tracking

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.

Sign up Setup guide

// who it helps

Teams using Cursor for agent-assisted development across production repos.

// the painful moment

Why this matters

Cursor work can move quickly inside local projects, but the useful context often stays in local transcripts. Teams need a shared record of what was asked, what changed, what failed, and what still needs review.

What AgentPM captures

  • Cursor agent transcripts and local project context.
  • Prompts, replies, commands, edits, errors, and tool output when present in the session record.
  • Searchable session evidence connected to users, machines, directories, and repos.

What teams can do

  • Review Cursor-assisted work with the same evidence layer as other agents.
  • Recover decisions, failed attempts, and verification context from prior sessions.
  • Compare Cursor workflows with Claude Code, Codex, and Grok usage across the team.

Questions this answers

  • What did Cursor try before this change landed?
  • Which project or repo saw the most Cursor activity?
  • Where are Cursor sessions leaving repeated review or setup gaps?

// roles

Who uses this evidence

Cursor Session Tracking matters to different teams for different reasons. AgentPM keeps the same session evidence useful for the people building, reviewing, funding, and governing coding-agent work.

Builder

Developers

Keep the flow of agent-assisted building without losing the prompts, commands, retries, and decisions that made the work happen.

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Team

Engineering Leaders

See how agent-assisted work is unfolding across a team before the only artifact is a polished pull request.

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Executive

CTOs

Measure and govern coding-agent adoption from evidence, not anecdotes, while keeping the engineering workflow intact.

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Operations

Finance Teams

Connect coding-agent spend and procurement conversations to real engineering usage, adoption patterns, and workflow evidence.

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// connected use cases

Where this fits in AgentPM

All use cases

Evidence layer

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.

Codex

Codex Session Tracking

Track Codex work from prompt to local commands, file edits, test runs, open loops, and review-ready evidence.

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.

// comparisons

How to compare this layer

AgentPM is not trying to be the model trace, eval, gateway, ticket, or code host. It preserves the local coding-agent work that explains what happened before those systems have a clean artifact.

Browse comparisons

LLM application framework and LangSmith observability

AgentPM vs LangChain

LangChain and LangSmith help teams build, trace, evaluate, and monitor LLM applications. AgentPM tracks how coding agents build software before the PR.

Open-source LLM engineering platform

AgentPM vs Langfuse

Langfuse helps teams trace, evaluate, analyze, and manage prompts for LLM applications. AgentPM tracks the coding-agent work that creates software.

AI application observability

AgentPM vs Traceloop

AgentPM and Traceloop operate at different layers. Traceloop watches AI applications run; AgentPM watches software get built by coding agents.

// fit

What AgentPM is not replacing

AgentPM does not replace Cursor, Git, or code review. It preserves the session evidence around Cursor-assisted work so teams can inspect and improve it.

A typical workflow

  1. 01Install the local collector on machines where Cursor runs.
  2. 02Continue using Cursor in local projects.
  3. 03Search captured sessions and open notebook or insight views for review.
  4. 04Use patterns across sessions to improve prompts, docs, and rollout guidance.

// common questions

Questions about Cursor Session Tracking

Does AgentPM work with Cursor?

Yes. AgentPM can collect supported Cursor session transcripts from local machines and route that evidence into the right organization for search, review, insights, and coaching.

Can AgentPM compare Cursor work with other agents?

Yes. AgentPM is built as a cross-agent evidence layer, so teams can inspect Cursor work alongside Claude Code, Codex, Grok, OpenCode, and other captured coding-agent sessions.

What is AgentPM?

AgentPM is an evidence layer for coding-agent work. It captures local agent sessions, makes them searchable, and helps teams understand what happened before work becomes a pull request, ticket, or review.

How is AgentPM different from LLM observability?

LLM observability usually tracks model calls, traces, cost, latency, and evals inside AI systems. AgentPM tracks agent-assisted software work: what was asked, what the agent tried, what changed, what failed, what shipped, and what should become reusable knowledge.

Does AgentPM replace GitHub, Jira, or Linear?

No. AgentPM captures the work that happens before those systems have a clean artifact. It complements code hosts, issue trackers, and review tools with searchable session evidence.