v0.2.0 - Search integration research for coding agents

v0.2.0 Release Notes

Title:

v0.2.0 - Search integration research for coding agents

Summary

Awesome Agent Search now focuses on the broader problem of bringing search into coding agents.

SearXNG remains an important privacy-aware baseline, but it is no longer framed as the only route. The repository now compares native/provider-managed web search, MCP search adapters, self-hosted search, hosted search APIs, browser-based retrieval, local documentation search, and hybrid routing policies.

What's New

• Repositioned the README, Chinese README, AGENTS guide, and positioning docs around multi-backend search integration.
• Added Search integration strategies.
• Added Comparison issue backlog for issue-ready research tasks.
• Expanded Search backend comparison beyond SearXNG.
• Added Chinese translations for the new strategy and issue-backlog docs.
• Updated the machine-readable registry and generated registry index.
• Updated social preview artwork to reflect the broader scope.
• Updated GitHub repository metadata and topics for the new positioning.

Research Scope

The next comparison work should cover:

• native or provider-managed web search in coding-agent runtimes
• MCP search adapters
• self-hosted SearXNG
• Brave Search API
• Tavily
• browser automation and browser plugin routes
• local or private documentation search
• hybrid routing policies

Privacy Notes

No private endpoints, credentials, cookies, session material, local machine paths, personal email addresses, or raw local transcripts are included.

Search comparisons should cite official docs, date volatile observations, and keep private account behavior out of public reports.

Next Steps

• Publish selected comparison backlog entries as GitHub issues.
• Build a public query evaluation set.
• Add dated comparison notes for native search, hosted APIs, and browser retrieval.
• Re-upload the updated social preview image in GitHub repository settings.

v0.1.0 - SearXNG search best practices for coding agents

v0.1.0 Release Notes

Title:

v0.1.0 - SearXNG search best practices for coding agents

Summary

Awesome Agent Search is a curated, AI-readable guide for improving coding-agent search with SearXNG.

This first release establishes the repository as an awesome-* style knowledge base for Codex, Claude Code, OpenClaw, and other coding agents. It focuses on public-safe research, best practices, integration requirements, deployment hardening, evaluation, and bilingual discovery.

Runnable installation flows live in the companion repository: oh-my-agent-search.

What's Included

• Core best practices for privacy-aware agent search.
• Ecosystem entry points for Codex, Claude Code, OpenClaw, and generic agents.
• Claude Code MCP guidance and bootstrap requirements.
• SearXNG deployment hardening checklist.
• Search backend and MCP adapter comparisons.
• Sanitized SearXNG + Claude Code MCP research note.
• English and Chinese README entry points.
• Chinese translations for selected high-value docs.
• Machine-readable registry for AI-agent navigation.
• Launch, social preview, and repository visibility checklists.

Good Starting Points

• README
• Best practices
• Claude Code MCP guide
• Search backend comparison
• Repository visibility checklist
• Chinese README
• Resource registry

Privacy Notes

This release does not include private endpoints, credentials, cookies, personal email addresses, local machine paths, or raw local research logs.

When sharing the release, link to public docs instead of local setup transcripts or screenshots that may expose private paths.

Next Contribution Areas

• More public-safe comparison reports for SearXNG MCP adapters.
• Agent-search evaluation examples with reproducible public queries.
• Additional translations for high-traffic docs.
• More ecosystem examples for coding agents and MCP clients.
• Public-safe issue templates for research, integration, and translation submissions.