agentgrep
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Search history local agents for prompts and conversations (Codex, Claude, Cursor, agy, grok, pi, opencode)
agentgrep
Read-only search for local AI agent prompts and opt-in conversations
across Codex, Claude Code, Cursor, Gemini, Antigravity, Grok, Pi, OpenCode, and VS Code.
agentgrep provides a CLI and an MCP server over the same discovery + parsing layer:
- A terminal CLI (
agentgrep) with a Textual TUI for interactive
browsing of normalized records. - An MCP server (
agentgrep-mcp) that exposes search, discovery,
catalog, and validation tools to any client that speaks Model
Context Protocol.
Pre-alpha. APIs may change.
Install
$ uvx agentgrep --help
Other install methods (pipx, uv add, pip install) and full setup
snippets live in the
installer widget on agentgrep.org/cli/.
CLI quickstart
Search your prompts across every configured agent — ranked, deduped,
newest first:
$ agentgrep search "deploy"
Search prompts and conversations together in one sweep:
$ agentgrep search "deploy" --scope all
Prefer ripgrep-shaped flags? grep mirrors rg / ag against the
same records:
$ agentgrep grep "deploy" --scope conversations
Stream JSON so a non-MCP agent or shell pipeline can consume the
results:
$ agentgrep find --json
Open the read-only Textual explorer, seeded with a query:
$ agentgrep ui "deploy"
--json and --ndjson make every command pipe-friendly, and any
search-shaped subcommand takes --ui to hand the same query to the
explorer (e.g. agentgrep grep "deploy" --ui). Agents that don't
speak MCP can drive the CLI directly; see
https://agentgrep.org/cli/ for the per-subcommand reference.
MCP server: quickest setup
In Claude Code:
$ claude mcp add agentgrep -- uvx --from agentgrep agentgrep-mcp
For Claude Desktop / Codex / Cursor / Gemini snippets, see
https://agentgrep.org/mcp/.
Library quickstart
from pathlib import Path
import agentgrep
backends = agentgrep.select_backends()
query = agentgrep.SearchQuery(
terms=("hello",),
scope="all",
any_term=False,
regex=False,
case_sensitive=False,
agents=agentgrep.AGENT_CHOICES,
limit=10,
)
for record in agentgrep.run_search_query(Path.home(), query, backends=backends):
print(record.agent, record.title or record.path)
Links
- Documentation: https://agentgrep.org/
- Source: https://github.com/tony/agentgrep
- Issues: https://github.com/tony/agentgrep/issues
- Changelog: CHANGES
- License: MIT
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