Solumbe
Models generate the change. Solumbe proves whether it is safe to merge.
Formerly Òtítọ́ (@bashbop/otito), renamed in 4.0.0; the CHANGELOG maps every old name to its new one.
[CI] [npm] [license: MIT] [node] [Listed on mcpservers.org] [Solumbe MCP server – quality and maintenance score on Glama]
[solumbe demo]
[Solumbe MCP server – quality and maintenance score on Glama]
Solumbe is a local-first, deterministic, model-agnostic trust layer for AI-assisted development. It builds task-aware repository context before an agent edits, scores how much a change actually touches, and gates merge readiness against the exact staged tree, with no server, no account, and no code leaving the machine.
It does not replace Claude Code, Codex, Cursor, Gemini, or any native agent harness. It runs beside them and keeps working as the models change underneath.
A passing local gate is never an automatic merge approval: hosted CI, GitHub review, CODEOWNERS, and the human release decision remain separate authorities.
Install
The last command connects Solumbe's MCP server to every agent host it finds: Claude Code, Claude Desktop, Codex CLI, Cursor, VS Code, Gemini CLI and Kimi Code CLI. Add --dry-run to see the plan first, or name hosts with --host claude-code,cursor. Restart each host afterwards.
Or without installing: npx -y @bashbop/solumbe doctor.
What it does
Rank what a change actually touches, from the request alone, with no model, no embeddings, and no network:
Gate the exact staged tree, and say precisely why:
The convergence score is the part a model cannot grade for itself: it compares the stated intent against the files the diff actually changed, and produces a receipt bound to the exact base, parent, and staged-tree identity.
Hold the change to what was declared. Record the files a request is expected to touch before the edit, and the gate names any file that was never declared:
An amendment adds a file with its reason, hashed onto the contract, so a reviewer reads why the scope grew. Over MCP it is change_impact with declare: true, and review_gate with intent.
The core
Four commands are the product. They call no model, open no socket, and read nothing outside the repository.
solumbe help shows these and how to set up; solumbe help --all lists every command, including the ones that support them (impact, declare, pr, review, map, calibrate, route, ax, dashboard and the rest). Nothing was removed.
Nothing hosted is required, and nothing hosted can change a verdict. Local Core, Optional Hosted lists exactly what the optional pieces send, and where.
Supporting commands
Every command takes --json, and solumbe help lists the full set with flags.
MCP
Solumbe ships a stdio MCP server exposing 14 tools: repo_inspect, repo_map, repo_index, repo_search, context_pack, change_impact, agent_experience, model_route, convergence_score, review_context, review_gate, review_verdict, workspace_report, and repo_harness.
solumbe install --host all writes this entry for you, using absolute paths so hosts that do not inherit your shell PATH can still start it. Published in the MCP Registry as io.github.BASHBOP/solumbe. Repo-map lookups use an external per-user cache and never write into the inspected repository. Host-specific setup for Claude Code, Claude Desktop, Codex, Cursor, VS Code, Gemini CLI, and Kimi Code is in MCP and Agent Workflows.
How it compares
Documentation
Full command reference, agent workflows, release process, evaluation method, and the design theses behind the trust layer:
bashbop.github.io/solumbe
Contributing
npm run ci is the full gate: format, lint, typecheck, version check, tests, coverage floors (70% lines / 60% branches / 75% functions), three evaluation corpora, dependency audit, and a packaged-tarball smoke test. Run it before requesting review.
Start with CONTRIBUTING.md and the Code of Conduct. All changes need maintainer review; main requires passing gates and resolved conversations. Solumbe follows Semantic Versioning, so say whether a PR is no-impact, patch, minor, or major.
Part of the toolchain
solumbe is one of four tools that form a deterministic trust layer for AI-assisted development. Each uses static analysis to answer a question people keep handing to an LLM.
- solumbe (this tool), for context: what does this change actually touch?
- tieline, for contracts: did the front end and back end quietly stop agreeing?
- bouncer, for compliance: could you defend this to Ofcom?
- aiglare, for governance: where can the model do something you can't undo?
More at segunolumbe.com. static analysis, never the model.