ai-session-search: Ultra-fast rust-powered AI agent session search and analysis

by ahundt · MCP Server · ★ 51

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install ai-session-search

uv tool install ai-session-search && aise integrations install
cargo install ai-session-search --locked --version '^1.0.0-rc' && aise integrations install

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 68/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

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Quick Facts

Stars51
Forks1
LanguageRust
CategoryMCP Server
LicenseApache-2.0
Quality Score68/100
Open Issues9
Last Updated2026-11-06
Created2026-02-23
Platformsclaude-code, cli, codex, gemini, mcp, rust
Est. Tokens~27k

About ai-session-search

AI Session Search () Ultra-fast rust-based search of every local AI coding session with on-the-fly reindexing. Reads Claude Code, Claude Desktop, ChatGPT Codex, Cursor, Antigravity, Pi, Prime Agent, Google AI Studio, and Gemini CLI, on macOS, Linux, and Windows. Nine session formats now interact seamlessly Your AI coding history is already on disk. Claude Code writes JSONL files named by UUID.

ai-session-search alternative? Top 6 similar tools

Looking for a ai-session-search alternative? If you're comparing ai-session-search with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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