// Mental model

Concepts

The ideas behind AgentPM: conversations, evidence, insights, search, knowledge graph, and compounded organizational knowledge.

Documentation

Concepts

The ideas behind AgentPM: conversations, evidence, insights, search, knowledge graph, and compounded organizational knowledge.

The AgentPM model

AgentPM starts with captured coding-agent sessions and turns them into searchable, reviewable, team-owned work history.

Conversations

A conversation is the normalized record of a coding-agent work session. It includes prompts, assistant turns, tool calls, command output, file references, metadata, and derived summaries.

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Evidence

Evidence is the inspectable trail behind agent-assisted work: commands, files, tests, branches, decisions, risks, and exact turns. AgentPM keeps the record reviewable after the chat window is gone.

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Insights

Insights turn long sessions into typed keyframes such as decisions, outcomes, risks, artifacts, configuration changes, advice, and unresolved work.

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Daily Digest

Daily Digest summarizes a day of agent-assisted engineering work across projects, conversations, risks, and follow-ups so teams can operate from shared context.

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Organizations, projects, and sessions

Organizations define the team boundary. Projects group work by repository or working directory. Sessions are the captured agent runs that feed conversations, insights, search, and digests.

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Search

AgentPM search lets teams find conversations by natural language, facets, file paths, commands, projects, agents, dates, and git activity.

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Knowledge Graph

The knowledge graph connects conversations to projects, files, agents, commands, skills, MCP calls, branches, PRs, decisions, risks, and recurring patterns.

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Compounded organizational knowledge

Every captured session can improve the next session. AgentPM helps teams turn repeated work into durable memory, project guidance, skills, review practices, and better agent workflows.

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