القائمة
Local-first session intelligence and analytics for coding agents — browse, search, and track costs across Claude Code, Codex, and 20+ other agents.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
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LLM-powered knowledge extraction CLI — transform unstructured text into structured knowledge (graphs, hypergraphs, spatio-temporal graphs) with a single command.
Give your AI agent one-click internet access — Twitter, Reddit, YouTube, GitHub, Bilibili, and more. Zero API fees.
Generate token-efficient CLIs for AI agents by reading API docs and studying community patterns. Prints Go binaries + Claude Code skills + MCP servers.
Terminal AI coding agent with video input, subagents, MCP support, and ACP editor integration
AI-powered code review CLI — deterministic pipelines + LLM agent, battle-tested at Alibaba scale
| name | agentsview |
| description | Local-first session intelligence and analytics for coding agents — browse, search, and track costs across Claude Code, Codex, and 20+ other agents. |
| version | 1.0.0 |
| author | Hermes Agent |
| license | MIT |
| platforms | ["linux","macos","windows"] |
| metadata | {"hermes":{"tags":["ai-agents","analytics","cost-tracking","session-management","observability"],"related_skills":["claude-code","codex"]}} |
Local-first session intelligence and analytics for coding agents. Browse, search, and track costs across Claude Code, Codex, and 20+ other agents.
curl -fsSL https://agentsview.io/install.sh | bash
brew install --cask agentsview
docker run --rm -p 127.0.0.1:8080:8080 \
-v agentsview-data:/data \
-v "$HOME/.claude/projects:/agents/claude:ro" \
ghcr.io/kenn-io/agentsview:latest
git clone https://github.com/kenn-io/agentsview.git
cd agentsview
go build -o agentsview ./cmd/agentsview
agentsview serve
# Opens at http://127.0.0.1:8080
agentsview usage daily
agentsview search "docker networking"
# Terminal 1: SSH tunnel
ssh -L 18080:127.0.0.1:8080 user@host
# Terminal 2: Start with public URL
agentsview serve --public-url http://127.0.0.1:18080
--public-url flag for correct Host header validation# Verify installation
agentsview --version
# Check session count
agentsview sessions list | wc -l
# Verify web UI
curl -s http://127.0.0.1:8080/api/v1/health