agent-bridge
Get a Discord DM when your coding agent is blocked, reply from your phone, and have it typed straight back into the session. Works with Claude Code, Codex, or anything with a CLI
What XERJ indexed
Snapshot
The whole repository at commit 5e2875ff03 (2026-10-17). main is 7 commits ahead.
Selected work

“Install agent-bridge as a command so setup does not require cloning t…”. 17 files, 666 lines in tests, agent_bridge, scripts.
Licence
The repository
LICENSE file checked at the pinned commit; the author agreed to inclusion.
The XERJ corpus
The author agreed by email on 2026-10-28. Same terms as the repository. Answers name the repo, the commit and the file:line.
selected for the XERJ Corpus Hublicence clearedsuggested use: adapt with attribution
ai-agentsautomationclaude-codedeveloper-toolsdiscord-botpythontmux
Example questions
- How does agent-bridge implement ai-agents?
- What does agent_bridge do in agent-bridge?
- Show the automation code in agent-bridge.
Inside the indexed corpus
- Languages by size: Python 63.9%, Shell 26.6%, PowerShell 9.5%.
- On GitHub since 2026-08-28, last push 2026-10-17, 47 commits on main.
- The pin is 7 commits behind main; the corpus answers from the pinned code, not the newest.
Licence on GitHub and in the corpus
GitHub reported MIT for Shashank0701-byte/agent-bridge on 2026-10-29, and the LICENSE file at commit 5e2875ff03 was reviewed as MIT. They match, so answers from this corpus carry the same terms as the live repository.
Contributors
Shashank Chakraborty (@Shashank0701-byte) has 1 selected repository on the hub.
Using XERJ with agent-bridge
- A local search tool for Codex and Cursor agent-bridge is tagged claude-code on GitHub.
- Local code search MCP that uses fewer tokens than grep
- RAG without a vector database: one hybrid index The hub files it under AI, prompts and agents.
- Best MCP servers for local code search in 2026, compared
The prompt
Paste it into your AI agent. It clones Shashank0701-byte/agent-bridge at the pinned commit and indexes it on your machine.
Search the GitHub repository Shashank0701-byte/agent-bridge with XERJ (https://hub.xerj.org/corpus/shashank0701-byte--agent-bridge). Run these in a shell, in order, and check each result before the next: 1. xerj --help (success: it prints usage). If xerj is missing: curl -fsSL https://xerj.org/get | sh 2. git clone https://github.com/Shashank0701-byte/agent-bridge agent-bridge && git -C agent-bridge checkout 5e2875ff035b7336ee9b8f5ff1c7a189dc2e3ea0 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./agent-bridge --url http://127.0.0.1:9200 --prefix agent-bridge --progress plain 5. xerj autoindex map --url http://127.0.0.1:9200 Then answer my question from the indexed files and cite the ax_path of every hit. Query syntax: https://xerj.org/llms.txt Licence: MIT. Keep the copyright notice and credit the authors.
Related
Shashank ChakrabortyAI, prompts and agents corporaagnocalderafaahhung-phan/pmtuiTelara-Labs/TAP-Runtimejuandelossantos/another-agent-skills
Stats: GitHub API, fetched 2026-10-29. Selected work and consent: the XERJ registry.