data-olympus
Memory serverOfficial Knaisoma project
Created by Knaisoma
Published in knaisoma/data-olympus. Publisher page
30 GitHub stars
What it is
Governance-grade, OKF-compatible knowledge-base format with a single-writer MCP server and CLI. Pre-release.
Summary from the brain’s metadata
Governance-grade, OKF-compatible knowledge-base format with a single-writer MCP server and CLI. Pre-release. New here? Start with WHY.md. It is the story behind the project: the problem we kept hitting with coding agents, what data-olympus does differently, how it relates to Google's Open Knowledge Format, and where our benchmarks say it is strong and where it is not. The rest of this README is the technical reference.
How it works
Memory model: Markdown vault
AutoGineer overview, from the brain’s own files
Memory model: Markdown vault. Folders: .github (agent config, 20 files); bin (scripts, 7 files); docs (docs, 47 files); scripts (scripts, 29 files); src (source code, 81 files); tests (tests, 286 files). The agent reads .rules/versioning.md, example-bundle.
| Folder | Role | Files |
|---|---|---|
| .github | agent-config | 20 |
| bin | scripts | 7 |
| docs | docs | 47 |
| scripts | scripts | 29 |
| src | source-code | 81 |
| tests | tests | 286 |
| .rules | folder | 5 |
| benchmarks | folder | 328 |
| deploy | folder | 19 |
| example-bundle | folder | 27 |
| release | folder | 2 |
The agent reads
- .rules/versioning.md evidence: AGENTS.md
- example-bundle evidence: README.md
Requirements
Runtimes: Python >=3.13
Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Google Antigravity, Kiro, OpenCode, Amp, Roo Code, Cline, JetBrains Junie, Devin (ex-Windsurf)
Set it up
- Not scanned by AutoGineerIts dependencies are installed by pip or uv when you run it and were not scanned by AutoGineer (5 declared). https://pypi.org/project/data-olympus/
- Not scanned by AutoGineerAutoGineer could not scan everything it runs. https://pypi.org/project/data-olympus/
Created by Knaisoma. Published in knaisoma/data-olympus. Licence: Apache License 2.0.
Usage
From the brain’s own files
- Requires Python 3.13+ and uv.
- Run the stable CLI directly from PyPI:
- Install it persistently when you are ready to create a bundle and run the server:
- An announced candidate remains opt in through its exact PyPI version.
- Replace X.Y.ZrcN with the candidate named on the releases page, if any:
- See release channels for what each channel means, how to verify a candidate before adopting it, and how to roll back.
- See docs/quickstart.md for bundle initialization, server startup, readiness, agent registration, and the contributor source installation.
- See docs/adoption.md for the full bundle authoring guide.
Documentation by Knaisoma
data-olympus
Image: knaisoma/data-olympus MCP server Image: MCP Marketplace
<!-- mcp-name: io.github.knaisoma/data-olympus -->
New here? Start with WHY.md. It is the story behind the project: the problem we kept hitting with coding agents, what data-olympus does differently, how it relates to Google's Open Knowledge Format, and where our benchmarks say it is strong and where it is not. The rest of this README is the technical reference.
data-olympus is a governance-grade knowledge-base format and server for agent workforces. It is readable by Open Knowledge Format (OKF) v0.2 consumers: it inherits OKF's directory structure, frontmatter conventions, reserved filenames, and link model, then layers governance extensions on top (stable id, controlled type/status/tier fields, supersedes chains) plus a single-writer MCP server and a CLI. CI proves two concrete directions against official Google OKF v0.2 commit ad30107c31c06aec8a7d5636e0d1058118604e6f: its reference visualization consumer reads every concept in example-bundle, and data-olympus imports, lints, indexes, searches, and retrieves the pinned official Bitcoin sample. This is fixture-scoped interoperability evidence, not a blanket guarantee for every OKF bundle or future upstream revision. The result is a git-native, version-controlled document graph of engineering standards, architectural decisions, and project knowledge that agents and humans can read, search, and extend without any proprietary service.
It governs decisions, not code. When an agent is about to make a choice (a library, a pattern, a migration), data-olympus surfaces the established standard or decision that should govern that choice. It is deliberately not a code-search, reference-finding, or "where is X used" tool: LSP, grep, and Sourcegraph already do that well. The retrieval task it targets is coding-intent to governing-rule, and it helps where current model interaction during vibe-coding is weakest: keeping the model aligned to patterns the team has already established as correct.
Status: pre-1.0 beta. Stable releases are distributed through PyPI and GHCR.
Why
Portable, no lock-in. The entire KB is a directory of markdown files in git. No database, no proprietary schema, no vendor.
Git-native diffs and review. Every change is a commit. Proposed edits go through a pending queue before commit; history is plain git log.
Agent and human readable. Plain markdown with YAML frontmatter. No SDK required to read or author a document.
Governed multi-agent writes. The single-writer MCP pipeline (advisory locks, per-session worktrees, durable push queue) prevents concurrent write races without requiring distributed locking infrastructure.
Queryable by status, tier, and type. Filter by
status: accepted,tier: T1, ortype: decisionwithout post-processing. Thesupersedeschain makes it possible to trace decision history across the graph.Tested with official OKF tooling. CI pins an exact Google OKF revision and proves both consumption directions over committed fixtures. The pin, fixture checksum, and Apache 2.0 license provenance live in
tests/okf/reference.json.
Quickstart
Requires Python 3.13+ and uv. Run the stable CLI
directly from PyPI:
uvx --from data-olympus data-olympus --helpInstall it persistently when you are ready to create a bundle and run the server:
uv tool install data-olympus
data-olympus init my-kb
data-olympus-mcp --helpAn announced candidate remains opt in through its exact PyPI version. Replace
X.Y.ZrcN with the candidate named on the
releases page, if any:
uvx --from 'data-olympus==X.Y.ZrcN' data-olympus --helpSee release channels for what each channel means, how to verify a candidate before adopting it, and how to roll back.
See docs/quickstart.md for bundle initialization, server startup, readiness,
agent registration, and the contributor source installation.
See docs/adoption.md for the full bundle authoring guide.
Documentation
SPEC.md: format specification (bundle layout, frontmatter schema, serving contracts).docs/quickstart.md: verified local-run procedure.docs/adoption.md: bring-your-own-KB guide (author, lint, index, serve, wire an agent).docs/serving.md: single-replica serving model, read-only replicas, git pull loop, health/readiness/liveness split, proxy headers, audit-log rotation.docs/operations.md: production runbook: backup, upgrade, recovery playbooks (degraded/fetch-failed, history rewrite, frozen/demoted push entries, orphaned locks), the health/alerting model, and release channels (stable and candidate, verification, rollback).docs/comparison.md: how data-olympus relates to OKF, enterprise catalogs, markdown KB tools, agent-context conventions, RAG, and ADR tooling.docs/okf-profile.md: field-by-field OKF profile: which governance extensions are stable, which are runtime-only serving fields, and which are experimental candidates.docs/glama.md: Glama registry claim, release, and score-maintenance notes.docs/mcp-registry.md: official MCP Registry notes, whatserver.jsondeclares, and the checklist for publishing.docs/enforcement.md: turning the KB into a mandatory consultation gate (hooks,kb enforce).benchmarks/README.md: retrieval benchmark methodology and how to reproduce the numbers indocs/comparison.md.SECURITY.md: supported versions and how to report a vulnerability.
License
AGENTS.md
Data Olympus
Project Overview
Data Olympus is the knowledge base service that coding agents consult before making decisions. It indexes the company-knowledge corpus and serves it over MCP and REST, and it enforces that agents consult it before governed changes.
It is the authority behind the tier model (T1 Universal, T2 Stack, T3 Project, T4 Component; see GDEC-017), decisions, and workflows.
Stack, as declared in pyproject.toml:
Python
>=3.13, managed withuvRuntime dependencies are deliberately few:
fastmcp,pydantic,pyyaml,regexTwo entry points:
data-olympus-mcp(the MCP server) anddata-olympus(the CLI)
There is no web framework and no database server. Keep it that way unless a decision says otherwise: the small dependency surface is a feature, because this service is a dependency of every other project's agent workflow.
Architecture
Storage is SQLite. The index lives at KB_INDEX_PATH (default /index/kb.db) and is rebuilt atomically into a temporary file before being swapped in.
Retrieval is a SQLite FTS5 index with BM25 ranking, layered with progressively broader fallbacks:
| Module | Role |
|---|---|
index.py | FTS5 index over the KB markdown corpus |
query_expansion.py | synonym and acronym expansion |
cooccurrence.py | corpus co-occurrence expansion, embedding free |
trigram.py | fuzzy fallback for typos and partial identifiers |
embeddings.py | optional local ONNX hybrid ranking, blended with BM25 |
embeddings.py is off by default. It requires the embeddings extra and KB_EMBEDDINGS_MODE, imports its libraries lazily, and never calls an external API at query time. With the extra absent and the variable unset, the product is byte-for-byte unchanged. Do not describe this service as a vector or RAG pipeline: the default retrieval path is lexical.
Serving is server.py (MCP tools) and rest_api.py (the REST mirror). The enforcement surface is enforce_policy.py, write_gate.py, governed_lane.py, auth.py, principals.py, and rate_limit.py.
Git backing: the corpus is a git repository. git_ops.py, push_queue.py, and pending.py handle refresh and the proposed-write pipeline.
Deployment is deploy/docker and deploy/k8s. The STD-U-821 target pipeline separates unprivileged RC builds from trusted publication and stable promotion. The old candidate and stable dispatch workflows were retired in 2026-10. Deploy verified immutable digests and follow .rules/release-rollback.md.
Development Workflow
uv sync # install
uv run data-olympus --help # CLI
uv run data-olympus-mcp # MCP serverBranching and review follow the operator rules: work in a dedicated worktree under .worktrees/<branch> (STD-U-505), never commit directly to main, and never bypass hooks with --no-verify (STD-U-508). Feature branches start from and target release/new; release batches squash to main. Follow .rules/release-routine.md for merge authority and gates.
Rebase merging is not enabled. The repository's available merge methods do not override the release routine's required squash merge.
Pull request titles are linted as Conventional Commits by .github/workflows/pr-title-lint.yml.
This repository dogfoods its own enforcement. Governed changes are blocked until an explicit kb_consult is recorded, and a consultation expires after 300 seconds, so re-consult if time passes before the gated action. The pre-commit gate runs data-olympus report --staged and keys on the working directory's basename, which in a worktree is the worktree name, not the repository name.
Code Standards
Universal standards live in company-knowledge and are referenced, not copied: STD-U-001 (no sugarcoating), STD-U-002 (writing style, no em dashes), STD-U-003 (code review honesty).
Repository specific rules live in .rules/ and are authoritative for the topics they cover:
release-routine.md,release-planning.md,release-rollback.mdversioning.md,changelog-per-release.md
Do not restate those rules here. This file points at them.
Never add agent credit attribution to commits, pull request bodies, or any platform field (STD-U-510).
Testing Requirements
Set the environment up the way CI does, or two tests fail for reasons that have nothing to do with your change:
uv venv --python 3.13
uv pip install -e '.[dev]'uv run pytest on its own is not equivalent. tests/test_server_cli.py and tests/test_smoke.py spawn a subprocess with sys.executable and read installed distribution metadata, so without the editable install they fail with No module named data_olympus.server and a stale version assertion. CI is green while the same command fails locally, which makes this look like a real regression when it is not. Anything that gates on uv run pytest without the editable install (a release routine, a scheduled job) will block on a false failure.
Then, and a change is not ready until all of these pass:
uv run ruff check .
uv run mypy src
uv run pytest -v
bats -r tests # bin/kb CLI contract tests
uv run python scripts/okf_conformance.py verify-pin
uv run python scripts/check_benchmark_docs.py
uv run data-olympus lint example-bundle # dogfood conformanceRun the linter before the tests. It runs first in CI, so a lint failure hides every test result behind it.
Deployment
The authority is .rules/release-routine.md. The target STD-U-821 flow computes versions with scripts/sdlc_version.py on release/new, without a committed target version. The agent holding operator authorization squash-merges reviewed content as release: X.Y.Z; reserved cases need explicit operator authorization. Promotion proves reviewed-tree equality and creates annotated vX.Y.Z. Production remains digest-pinned, and verified releases are followed by a recut.
.rules/versioning.md defines normal and hotfix identities, PEP 440 mappings and the new pre-1.0 patch mapping for features. The new pipeline is enabled and shipped the first new-model release, 0.11.1. The old-path workflows are retired, and compute_release.py is no longer a version authority. The pre-1.0 feat mapping is under operator review (see .rules/versioning.md).
Key Rules
The KB is authoritative. Consult it before architectural decisions, new features, API design, or refactoring. If a standard exists, follow and cite it. If one is missing, propose it.
Tier precedence is T1 > T2 > T3 > T4, most specific wins within a tier (GDEC-017).
Index freshness is not automatic. A corpus change is not visible until the index rebuilds.
kb_healthreportskb_commit,index_built_at,staleness_seconds,degraded, andpending_count.Secrets never enter the KB. They are prompted or fetched from the secrets manager, never written to a file, a commit message, or a pull request body (STD-U-005).
Public-facing docs only.
docs/is for users. Internal plans, specs, and scratch are gitignored and must not be committed here.Read and follow all rules in .rules/.
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Advantages
- Local-first: the memory stays in files or a database on your own machine (a rule-derived fact from the brain’s files, evidence: README.md)
- Works with 14 MCP clients (a rule-derived fact from the brain’s files, evidence: README.md)
- Plain markdown memory that you can read and edit yourself (a rule-derived fact from the brain’s files, evidence: README.md)
- No API key is named in its files (a rule-derived fact from the brain’s files, evidence: README.md)
- Open licence (Apache-2.0) (a rule-derived fact from the brain’s files)
Limitations
- No ZIP download: install it from its source (a rule-derived fact from the brain’s files)
Security
Risk level: Low risk
This brain runs
Agent instructions that run or fetch something (5)
AGENTS.md:`uv run pytest` on its own is not equivalent.AGENTS.md:`tests/test_server_cli.py` and `tests/test_smoke.py` spawn a subprocess with `sys.executable` and read installed distribution metadata, so without the editable install they fail with `No module named data_olympus.server` and a stale version assertion.AGENTS.md:Anything that gates on `uv run pytest` without the editable install (a release routine, a scheduled job) will block on a false failure.AGENTS.md:Run the linter before the tests.tests/importer-fixtures/.cursorrules:Run the type checker in CI and treat type errors as build failures rather than warnings.
- Low risk: network-instructions (AGENTS.md:75)
- Low risk: scripts-present (scripts/check_benchmark_docs.py)
- Low risk: scripts-present (scripts/okf_conformance.py)
Attribution and licence
- Created by
- Knaisoma
- Declared authors
- knaisoma (declared in pyproject.toml)
- Publisher
- Knaisoma (Official Knaisoma project)
- Source
- knaisoma/data-olympus · commit 6d46033
- Licence
- Apache License 2.0 (files served here)
- ATTRIBUTION.md (written by AutoGineer)
- Synced
AutoGineer is not affiliated with or endorsed by Knaisoma.
Install from source
486 of its files are not served here, so there is no ZIP. knaisoma/data-olympus at 6d46033