kenn-io/agentsview
Local-first session search, analytics, insights, and token use statistics for coding agents, supporting Claude Code, Codex, and more than 20 other agents.
What is kenn-io/agentsview?
kenn-io/agentsview is a repository whose own project materials describe it as Local-first session search, analytics, insights, and token use statistics for coding agents, supporting Claude Code, Codex, and more than 20 other agents. Browse, search, and track costs across all your AI coding agents. One binary, no accounts, everything local. This Graphify demo keeps kenn-io/agentsview as the primary keyword while adding source-derived context, README signals, and an interactive code graph for deeper exploration.
Source: README.md at 35ee66acb2aa
Graphify architecture insights for kenn-io/agentsview
kenn-io/agentsview has a large Graphify map with 21,368 nodes, 68,350 edges, and 665 communities. The graph turns kenn-io/agentsview into an architecture map: dense communities point to related implementation areas, while high-degree nodes from the Graphify report are good starting points for code review, onboarding, and dependency exploration.
README-derived project notes
- kenn-io/agentsview is described by its project source as: Local-first session search, analytics, insights, and token use statistics for coding agents, supporting Claude Code, Codex, and more than 20 other agents. Browse, search, and track costs across all your AI coding agents. One binary, no accounts, everything local
- The project README exposes reader-facing sections such as Install, Quick Start, Remote / forwarded access, and Docker, which helps explain how kenn-io/agentsview is positioned and used
- kenn-io/agentsview was captured from the repository at commit 35ee66acb2aa and analyzed in code-only mode, so this page connects project documentation with the generated code graph
- kenn-io/agentsview is primarily a Go project, which makes the graph useful for understanding important files, modules, and dependency relationships before opening the source tree
Related code graphs
- facebook/zstd — C, 5,214 nodes
- Panniantong/Agent-Reach — Python, 678 nodes
- kunchenguid/no-mistakes — Go, 5,713 nodes
- junegunn/fzf — Go, 1,813 nodes
Graphify report highlights
Summary
- 21368 nodes · 68350 edges · 665 communities (613 shown, 52 thin omitted)
- Extraction: 78% EXTRACTED · 22% INFERRED · 0% AMBIGUOUS · INFERRED: 15302 edges (avg confidence: 0.8)
- Token cost: 0 input · 0 output
God nodes
- testDB() - 619 edges
- insertSession() - 392 edges
- SourceRef - 377 edges
- assertStatus() - 230 edges
- insertMessages() - 226 edges
- NewEngine() - 213 edges
Surprising connections
- resolveArchiveQueryBackendWithConfig() --calls--> readOnlySessionUsageDaemonError() [INFERRED]
- main() --calls--> isSilentExitError() [INFERRED]
- schemaUpgradeHint() --calls--> IsSchemaUpgradeRequired() [INFERRED]
- waitFor() --indirect_call--> resolve() [INFERRED]
FAQ about kenn-io/agentsview
What is kenn-io/agentsview?
kenn-io/agentsview is described by its repository as Local-first session search, analytics, insights, and token use statistics for coding agents, supporting Claude Code, Codex, and more than 20 other agents. Browse, search, and track costs across all your AI coding agents. One binary, no accounts, everything local. This page adds a Graphify code graph so readers can inspect how the project is structured.
What does the kenn-io/agentsview Graphify graph show?
kenn-io/agentsview has a large Graphify map with 21,368 nodes, 68,350 edges, and 665 communities. It highlights communities, important nodes, and relationships extracted from the captured source commit.
Why use Graphify to explore kenn-io/agentsview?
Graphify gives kenn-io/agentsview a visual architecture layer, making it easier to find central files, understand module boundaries, and decide where to start reading the code.
Where did the kenn-io/agentsview page content come from?
The project notes are derived from README.md at 35ee66acb2aa, repository metadata, and the Graphify report generated for the captured commit.