chatflow-agent
Lightweight, async multi-agent framework with native SQLite persistence and handoffs for WhatsApp, Telegram, Webhooks, and CLI. Production-hardened with HMAC webhook security, automatic retries, and turn rollback. Supports OpenAI, Claude, Gemini, and local LLMs
What XERJ indexed
Snapshot
The whole repository at commit 308fbfc414 (2026-10-24). main is 26 commits ahead.
Selected work
“replace google-genai with native httpx REST client…”. 14 files, 6,001 lines in tests, src/chatflow_agent, the project root.
Licence
The repository
LICENSE file checked at the pinned commit; the author agreed to inclusion.
The XERJ corpus
The author agreed by email on 2026-10-26. 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-agentsanthorpicasyncioclaudegeminigrokllmmulti-agent
Example questions
- How does chatflow-agent implement ai-agents?
- What does src/chatflow_agent do in chatflow-agent?
- Show the anthorpic code in chatflow-agent.
Inside the indexed corpus
- 86 files, 3.5 MB in total, about 41.2 KB per file.
- The selected commit changed 14 of those files (16.3%).
- On GitHub since 2026-09-19, last push 2026-10-31, 192 commits on main.
- The pin is 26 commits behind main; the corpus answers from the pinned code, not the newest.
Licence on GitHub and in the corpus
GitHub reported MIT for GustavoBaranda/chatflow-agent on 2026-10-31, and the LICENSE file at commit 308fbfc414 was reviewed as MIT. They match, so answers from this corpus carry the same terms as the live repository.
Contributors
Gokulnaath Govindaraj (@Gokulnaath07) has 1 selected repository on the hub.
Using XERJ with chatflow-agent
- 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
- Best grep alternative for AI coding agents (2026)
- Ask questions about a GitHub repo without cloning it
The prompt
Paste it into your AI agent. It clones GustavoBaranda/chatflow-agent at the pinned commit and indexes it on your machine.
Search the GitHub repository GustavoBaranda/chatflow-agent with XERJ (https://hub.xerj.org/corpus/gustavobaranda--chatflow-agent). 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/GustavoBaranda/chatflow-agent chatflow-agent && git -C chatflow-agent checkout 308fbfc414b3b8197378eaaf5f5043d0ced7c669 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./chatflow-agent --url http://127.0.0.1:9200 --prefix chatflow-agent --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
Gokulnaath GovindarajAI, prompts and agents corporaaidergriptapecamelgemkids275/AIShortcutsHatsyRei/maid-nativemoseleydev/swarm-kit
Stats: GitHub API, fetched 2026-10-31. Snapshot: the git tree at the pinned commit. Selected work and consent: the XERJ registry.