melra
Open-source local MCP runtime that checks AI-agent tool calls, gates risky actions on approval, verifies results, and avoids blind retries after timeouts
What XERJ indexed
Selected work
“order, decisions and recovery stay straight”. 3 files, 418 lines in packages/runtime-core.
Licence
The repository
LICENSE file checked at the pinned commit; the author agreed to inclusion.
The XERJ corpus
The author agreed by email on 2026-10-18. Agents read it for how it works, not to copy it. Answers name the repo, the commit and the file:line.
selected for the XERJ Corpus Hublicence clearedsuggested use: approach only
agent-runtimeagent-safetyai-agentsmcpmcp-servermodel-context-protocolopen-sourceverification
Example questions
- How does melra implement agent-runtime?
- Where does melra handle “order, decisions and recovery stay straight”?
- What does packages/runtime-core do in melra?
Inside the indexed corpus
- Languages by size: TypeScript 92.1%, Python 4.8%, JavaScript 3.1%, Dockerfile 0%.
- On GitHub since 2026-07-28, last push 2026-10-31, 411 commits on main.
Licence on GitHub and in the corpus
GitHub reported AGPL-3.0 for XAGI-Lab/melra on 2026-10-31, and the LICENSE file at commit ab59ffa134 was reviewed as AGPL-3.0. They match, so answers from this corpus carry the same terms as the live repository.
Contributors
Bhavana Sanal (@bhavana-sanal) has 1 selected repository on the hub.
Using XERJ with melra
- Code search MCP for Claude Code: cite file:line, not grep melra is tagged mcp on GitHub.
- What is an MCP memory server?
- RAG without a vector database: one hybrid index The hub files it under AI, prompts and agents.
- ripgrep vs a code index for coding agents: 30 tasks
The prompt
Paste it into your AI agent. It clones XAGI-Lab/melra at the pinned commit and indexes it on your machine.
Search the GitHub repository XAGI-Lab/melra with XERJ (https://hub.xerj.org/corpus/xagi-lab--melra). 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/XAGI-Lab/melra melra && git -C melra checkout ab59ffa134decd9613a378c7bd8a0e8d495c7e89 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./melra --url http://127.0.0.1:9200 --prefix melra --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: AGPL-3.0. Read it for the approach only, do not copy code.
Related
Bhavana SanalAI, prompts and agents corporaautoragxobotyi--cc-foundry-open-sourceoss-attribution-buildersandbaseai/sandbase-harnessOpenMachineLabs/openmachinekanghyunsoon/duo
Stats: GitHub API, fetched 2026-10-31. Selected work and consent: the XERJ registry.