Skip to main content
Glama

Verinoda

⚠️ Durum / Status: TAMAMLANMADI — work in progress, no guarantees. Bu depo aktif geliştirme altındadır ve henüz bitmemiştir. Özellikler eksik, değişken veya hatalı olabilir; hiçbir doğruluk, güvenlik ya da uygunluk güvencesi verilmez. Üretimde kullanmayın. This repository is unfinished. Features may be missing, change without notice or be wrong. No warranty or guarantee of correctness, security or fitness for any purpose is given (see also the Apache-2.0 "AS IS" terms in LICENSE). Not published to PyPI yet. Formerly developed under the working name "RepoAtlas".

What is in this snapshot (2026-09-24)

Part

State

Graphify port (verinoda/project_index, tests_upstream/)

done. Upstream suite at port time: 5436 passed / 50 failed, and every failure also fails on unmodified upstream on the same Windows machine; not re-run since (docs/UPSTREAM.md)

Core: claims, evidence, critique, experiments, research/compare, feedback, memory, installers, MCP server (23 tools)

implemented

Round 3: search engine, question plans with Turkish support, reference resolver, trust engine (anchors, entailment, facet-level staleness), runtime observation, precise call resolution

implemented and wired into the CLI, MCP and analyze; gaps per decision in docs/DESIGN.md ("Implementation status")

Product test suite

1,232 passed, 1 skipped, 2 deselected (slow packaging and installer checks), Windows 11 / Python 3.12, 2026-09-24

Agent integration

Claude Code (/verinoda) and Codex ($verinoda) verified in real headless sessions with the earlier skill text (docs/AGENT-VERIFICATION.md); the round-3 skill text (understand-first and references protocols) has no such record yet

Benchmarks (measured, docs/BENCHMARKS.md, chars/4 token estimates, gold facts found in the delivered context; no model in the loop)

Graphify's own code (226 files, 37 facts, in-sample): Verinoda text retrieval 36/37 at 1,424 tokens/question, ~0.14 s; Graphify 7/37. Set on Verinoda's own earlier code (33 facts): 25/33 vs Graphify 8/33 and raw reading 9/33; it was held out until the 2026-09-23 ranking change, which was chosen with it in view (22/33 before). Turkish paraphrases of the example app: 32/32. Regressions: analyze on the example app 32 -> 31/32, the one-off scan of the large corpus got slower (6.7 s -> 14.7 s cold), and the 2026-09-23 change adds about 0.03 s per retrieval on the large sets

Game mods and data files (2026-09-24)

data packs, JSON/yml configs and other data files indexed; resource-id links between code and data; reference trees; Java calls the extractor drops; translation pairs from locale files. New example set glow_mod (a small fictional Fabric mod, 50 facts): Verinoda text retrieval 48/50, JSON 44, analyze 43, against raw reading 33 and Graphify 13; at 32a5bd4 it was 34 / 25 / 18. Held out only for its first measurement (46 / 32 / 25). A second set written afterwards and measured once, forge_mod (NeoForge, Java and Kotlin, 68 facts): text 63, JSON 45, analyze 38 (at 32a5bd4: 43 / 28 / 26), raw reading 36, Graphify 12; after two more review rounds that looked at four of its questions (so in-sample), final official run: 66 / 50 / 42. The five earlier sets against the pre-mod baseline dogfood-2026-09-23: graphify_core analyze 30 -> 29, graphify_core_tr JSON 16 -> 15 and text 25 -> 26, heldout_repoatlas JSON 20 -> 21, the rest unchanged (docs/BENCHMARKS.md, benchmarks/results/mods-2026-09-24/final/)

Notes and graph view (verinoda ui, 2026-09-24)

a note per symbol, file, section and data file with its code and links; local graph per note, global graph at file level, search, file tree; local read-only server, no external assets. Checked in Chrome on the forge_mod example and on Verinoda's own repository (1,115 files in the global graph)

Cross-platform

tested on Windows 11 only; the CI workflow (Linux/macOS/Windows) exists but is manual and has not been run

Known limitations (see also docs/DESIGN.md for per-decision gaps):

Open findings of the second acceptance audit (2026-09-23 05:00), not yet fixed:

  • Under process isolation a test run can still write outside the throw-away copy through pytest @argsfile or --junitxml indirection; use --isolation container for untrusted code.

  • Running scan/init/observe with the home directory itself as the project is not refused.

  • Questions that are only partly about the code can come back met with verified but irrelevant claims.

  • The reference resolver can still merge or drop references in some multi-reference sentences. Fixed on 2026-09-24: "PR #123 and issue #456 in psf/requests" bound both numbers to the local project's origin remote (an owner/repo after a preposition, or before "reposundaki"/"'teki", is now a repository reference when its sentence is about git objects; fractions, protocols, word pairs and folders such as 1/3, HTTP/2, read/write, services/billing are not); a bare number keeps the origin remote over a repository named in another sentence, and with two repositories in a sentence each number goes to the one written after it. A name right before a version ("fancylib 2.31") is looked up in the project's ecosystems, then PyPI, npm and crates.io, only with --network on; by default it stays unbound, common words and units ("took 2.5 seconds", "macOS 14.2") are never package names, and only a clearly written name ("the X package", a name before v0.3) makes the result partial with a question.

  • Fixed after that audit: user claim add --kind with unrelated text no longer verifies; .verinoda/ and .git/ files are no longer accepted as evidence; packaging is now a declared dependency.

Found by running Verinoda on its own repository (2026-09-23), not yet fixed:

  • update rebuilds the code graph over the whole corpus when a file of the graph or a new code file changed (unchanged files come from the AST cache): about 33 s on a repository of about 2,100 files; edits to other files (data files, documents outside the graph) only refresh the search index. The upstream incremental pass was faster (about 20 s) but lost the cross-file edges of every file it re-extracted, so after an edit a function's imports and calls into other files were missing until the next full scan (fixed 2026-09-24). analyze refreshes first and can spend its default 60 s budget on that; run verinoda update . before asking.

  • A frozen copy of the code inside the repository (here benchmarks/corpora/heldout_repoatlas_7371990/) still answers self-queries unless it is marked: verinoda setup . --reference benchmarks/corpora=heldout,snapshot. (Fixed on 2026-09-24: command names now map to their handlers, scan komutu -> cmd_scan.)

Game mods and data files (2026-09-24):

  • The kind of resource an id names is taken from a fixed table of command words and JSON keys; an id in plain Java is "kind not stated" (an inference) unless one file carries it. Bare names count only as an argument of an id constructor or of a helper whose name says what it loads.

  • The extra call pass covers Java and Kotlin only. Turkish stems that folding merges (öl die / ol be) are matched as written only in retrieval; the question plan still reads folded words.

  • Windows only so far. The POSIX resource limits and the container isolation path (docker/podman) are coded but have never been run.

  • experiment, observe and analyze --run-tests/--observe run the project's own tests. Under process isolation (the default) the command's path arguments are confined to a throw-away copy, but the tests themselves can read and write outside it and use the network. Only run them on code you trust (experiment run --isolation container needs docker/podman and has not been tried against a real one).

  • Test runs and observation are Python/pytest only. They use the project's own .venv/venv when it has one, otherwise Verinoda's interpreter; pytest must be installed there, or the run is inconclusive. The fast tracer needs Python 3.12+ (sys.monitoring). The fallback is much slower, and child processes are not traced.

  • Precise call resolution is optional (verinoda[precise], jedi) and covers Python only. Without it, method calls on typed parameters stay strong_inference. Other languages need a SCIP index that you produce yourself (scan --scip FILE).

  • Turkish questions work but trail English. The Turkish question sets and the intent gold table were written by the rule author, so those scores are in-sample.

  • Staleness of relation claims is tracked at the level of the whole calling function, so edits elsewhere in that function can mark a still-true claim stale.

  • Some reference mismatch codes fire only in narrow cases, PEP 740 provenance is not used for pinning, and there is no authenticated GitHub access.

  • No model-in-the-loop measurement exists. Token counts are chars/4 estimates, and the harness scores whether gold facts are present in the delivered context, not answer accuracy.

The sections below describe the product; where they are ahead of the code, the lists above say so.

Evidence-first codebase analysis for people and coding agents.

Verinoda looks at a repository as a running system: code, call and data flow, tests, configuration, git history, decision records and, when you let it, targeted test runs. It answers questions as claims with evidence. Every claim carries a status (statically_verified, experiment_verified, strong_inference, unknown, stale, …), the exact file:line or commit it rests on, and what is still uncertain. When a claim can't be supported, it says unknown and names the next check to run. Questions may be in English or Turkish. References in them (repositories, versions, packages, PRs, papers) are pinned to the exact version the user meant before anything is compared.

Verinoda is derived from Graphify (commit 20a20d30, Apache-2.0). It is an independent project, not an official Graphify release. See docs/UPSTREAM.md. The name "Verinoda" was checked as free on PyPI, npm and GitHub on 2026-09-23 (see docs/NAMING.md). Nothing has been published to a package index.

Install

No git and no Python needed beforehand; uv installs Verinoda as an isolated tool and downloads a suitable Python if there is none.

Windows (PowerShell or cmd)

winget install --id astral-sh.uv -e   # only if `uv --version` does not work yet; then open a new terminal
uv tool install --force --reinstall-package verinoda --link-mode copy "verinoda[precise] @ https://github.com/ozcinax-star/verinoda/archive/main.zip"
uv tool update-shell                  # once: puts verinoda on PATH for new terminals

macOS / Linux (or Git Bash on Windows)

curl -LsSf https://raw.githubusercontent.com/ozcinax-star/verinoda/main/install.sh | sh

Both install from the GitHub archive with the optional precise resolver and copy files instead of hardlinking them (so sandboxed agents such as Codex can import the package). Run the same uv tool install ... line, or the script, again to upgrade. The script (install.sh, read it first) installs uv if it is missing, runs that command and uv tool update-shell; options are environment variables: VERINODA_REF (branch, tag or commit; default main), VERINODA_EXTRAS (none to skip the precise extra), VERINODA_NO_MODIFY_PATH=1.

Why there is no irm ... | iex one-liner for Windows: Microsoft Defender blocked powershell -ExecutionPolicy ByPass -c "irm <script url> | iex" for this project's script as Trojan:Win32/Commando.A!ml, a machine-learning verdict on that download-and-run command line (the script file itself was not flagged). The plain uv commands above avoid the pattern.

Then, once per project:

cd my-project
verinoda setup        # index the code + connect Claude Code / Codex if they are installed

verinoda setup is safe to re-run (it updates the index and leaves unchanged skills alone). --agents claude,codex|all|none, --scope user for all projects, --no-mcp.

Other ways to install

Python 3.10+ (3.12+ recommended: the runtime tracer uses sys.monitoring). Graphify (graphifyy) is not required; the extractor is part of this package.

# from a checkout or a built wheel (not on PyPI)
uv tool install --link-mode copy .                                   # or a wheel path
pipx install ./dist/verinoda-0.1.0.dev0-py3-none-any.whl
pip install ./dist/verinoda-0.1.0.dev0-py3-none-any.whl             # into an existing venv

# optional: precise call-site resolution (jedi)
uv tool install --link-mode copy --with "jedi>=0.19.2,<0.21" .
pip install ".[precise]"

verinoda --version
verinoda doctor

Build the wheel with uv build --wheel (or python -m build --wheel).

Codex on Windows: use --link-mode copy. With uv's default link mode the installed package files are hardlinks into uv's cache. Codex's workspace-write sandbox on Windows could not read them (PermissionError), so the verinoda CLI failed inside Codex while the MCP tools still worked (docs/AGENT-VERIFICATION.md). uv tool install --link-mode copy … (or UV_LINK_MODE=copy) avoids this. verinoda doctor warns when the install is hardlinked or editable.

Related MCP server: DevTime MCP Server

Quick start

cd my-project
verinoda setup                           # once: index + agent skills (or `verinoda scan .` for the index only)
verinoda map . --view dataflow           # entry points -> persistence, with limits stated
verinoda ui                              # notes + graph in the browser (local, read-only)
verinoda query "where is the discount threshold configured?"     # plain-text context
verinoda trace create_order_handler OrderRepository.save
verinoda plan draft "Sipariş API'den veritabanına nasıl ulaşıyor?"   # -> .verinoda/plans/plan-001.json
verinoda plan check plan-001.json        # grounds every mention; 0 ready, 2 invalid, 3 needs clarification
verinoda analyze --plan plan-001.json    # or: verinoda analyze "How does an order reach the database?"
verinoda resolve "compare with requests 2.31 sessions.py"        # pin the references first
verinoda observe --for apply_discount    # which tests reach it at runtime (isolated copy)
verinoda resolve-call orders/service.py:22 save                  # precise extra: which definition?
verinoda claim show clm_…                # evidence (with grades), uncertainties, full history
verinoda challenge clm_…                 # adversarial re-check; can only lower confidence
verinoda update .                        # after edits: re-index changed files, mark affected claims stale
verinoda verify clm_…                    # re-check evidence (moved lines are relocated)

Try it on the bundled example: copy examples/orders_app somewhere, git init and commit it, then run the commands above inside the copy. For observe, give the copy a .venv with pytest installed.

Commands

Command

What it does

doctor

Python, package layout, upstream base, graph/snapshot freshness, schema, claim counts, search index, lexicon, precise/SCIP availability, sys.monitoring, reference network mode, agent skills, MCP config, optional deps; secrets shown only as set/unset

setup [path] [--agents auto|all|none|claude,codex] [--scope project|user] [--no-mcp] [--reference PATH[=ALIAS,...]]

One step per project, safe to re-run: init, scan on the first run and update afterwards, then skills + MCP for the agents found on PATH (default auto); prints what is left to do by hand. --reference marks a folder of reference code (an original being ported, a vendored or frozen copy) that ranks below the project's own code unless a question names it or an alias (repeatable). Setup also points out folders that look like such a copy (most of their code files sit at the same relative path under a larger folder and hold mostly the same lines) and prints the --reference command; it never applies it. Refuses the home directory unless --allow-home

init [path]

Create .verinoda/ (database, config)

scan <repo> [--force] [--precise] [--scip FILE] / update <repo>

Full / incremental index + snapshot, then the derived search index, lexicon and symbol facts; update marks claims whose dependencies changed stale. --precise resolves the call sites of changed .py files; --scip adopts a SCIP index you produced --repo R works for both as for query; update without a path takes the nearest project

ui [<repo>] [--repo DIR] [--port N] [--no-browser]

notes and graph of the project in the browser: a note per symbol, file and data file, local and global graphs, search (see Notes and graph view)

map [<repo>] [--repo DIR] [--view …]

hierarchy, dependencies, dataflow, config, tests, history, impact (--target, default: git changes)

query "<q>" [--max-items N] [--max-chars N]

Bounded retrieval from the passage index; plain text for a model by default (skeleton first, each item with why it was chosen), --json for programs

trace <a> <b> [--mode flow|any]

Directed paths, each hop with relation, confidence and call-site location; hints when an endpoint does not resolve

plan draft|check|schema|audit

Question plans: draft from the message (TR/EN rules), check and ground a plan file, print the schema, re-judge an analysis' sub-questions later

analyze ["<q>"] [--plan FILE] [--run-tests] [--observe]

Budgeted loop per sub-question → claims + evidence + critique + unknowns, each sub-question judged against its done_when

claim show|list|add

Inspect claims, or record one with source evidence (--kind location|relation|config --symbol X for a mechanical grade)

verify <id> [--run]

Re-check evidence against the current tree (anchored relocation; optionally re-run its test)

challenge <id>

Critique and counter-hypothesis probes; lowers status/confidence when support is weak

resolve "<text>" [--reference URL[@ref]] [--network off|cache|on] [--local-intent]

Pin every reference in a message to the exact version meant; reports mismatches and questions for the user

research <url-or-repo> [--ref] [--topic] [--resolution ID --reference-id rN]

Reference repo pinned to an exact commit (or the pin from resolve), or a document; mechanism trace

compare <local> <reference> --topic …

Assumption diff: data structures, errors, concurrency, environment, dependencies

feedback add|process|resolve|show|list

User critique handled as a hypothesis → confirmed / qualified / corrected / unresolved (references resolved first)

experiment run --hypothesis … -- <cmd>

Isolated targeted experiment; logs on disk, summary + evidence recorded; refused when policy does not allow it

observe [TEST_ID …] [--for SYMBOL …] [--terms W …] [--mode …]

Run tests under the call tracer in an isolated copy; reach per test, boundary calls, limits

resolve-call PATH:LINE TARGET [--target PATH:LINE]

Precise resolution of one call site (needs the precise extra; exit 3 = no precise answer)

memory list|learn|history

Versioned learnings, invalidated with their source claim

install/uninstall --agent claude|codex --scope project|user

Skill (+ MCP) for Claude Code (/verinoda) and Codex ($verinoda)

mcp serve

MCP server (stdio) over the same core, 23 tools

index -- <args>

The Graphify-derived CLI (advanced, unsupported); installer, hook and ~/.graphify commands are blocked

benchmark run|sanitize

Raw search vs Graphify baseline vs Verinoda on question sets with gold facts

benchmark staleness replay|mutations, benchmark critique-eval

Staleness harness (history replay, mutation suite) and critique precision/recall

Exit codes: 0 done, 1 error, 2 usage error / invalid plan / blocked command, 3 "needs more" (clarification, partial resolution, refused experiment, incomplete observation, no precise answer). Every command except memory, mcp serve and index accepts --json (plan schema always prints JSON).

Notes and graph view

verinoda ui opens the project as linked notes in the browser, in the manner of Obsidian, built from Verinoda's own index rather than from hand-written notes:

  • A note per symbol, source file, document section and data file: qualified name (Wisp.spawn(), search_index.rank()), signature, doc text, the code (highlighted, with line numbers), and its links in sections: defined in, members, calls, called by, extends / implemented by, imports, imported by, references, the data files it names by resource id and the lines that name it, and the claims recorded about it with their status. A link the tool inferred rather than read in the code is marked ?.

  • Local graph beside every note (depth 1 to 3; tests, data files and external types can be hidden) and a graph view of the whole project at file level, coloured by community, with a filter that highlights matching notes. Both are force-directed: drag, zoom, hover to see a note's neighbours, click to open it.

  • Search by name (exact, prefix, part of the name, path) or with a question, which runs the same ranking as verinoda query; a file tree; back and forward; Turkish and English; light and dark.

It is read-only and local: a standard-library server on 127.0.0.1 (a free port unless --port is given) that answers only requests addressed to that host and port and only GET/HEAD; the page loads nothing from outside (no CDN, fonts or telemetry; Content-Security-Policy: default-src 'none', scripts and styles only from the server). It follows the index: after verinoda update the next page load shows the new graph. Limits: the global graph shows at most 2,500 files (the best connected ones, and it says how many it left out); no editing, no note text of your own, no export of the view.

Game mods, data packs and other data files

Code often names its data only through strings: a Minecraft mod runs the data-pack function mymod:wisp_death, loads config/mymod.yml, registers the item whose model is assets/mymod/models/item/x.json. Verinoda indexes those files too and follows the strings between them.

  • Data files are searchable. Text files the code graph has no node for (.mcfunction, JSON, YAML/TOML/INI/properties configs, SQL, shaders, CSV, Gradle scripts, skipped sources) become data units; configs are split by top-level section. Files it leaves out are listed with the reason (binary, may hold secrets - the graph's own secret rule -, .graphifyignore, dependency or build-output folder, generated output such as results/ or logs/, large generated JSON, minified); doctor counts them and a query names a left-out file whose name matches the question.

  • Resource ids link code and data in repositories that are packs or mods (a pack.mcmeta or a Fabric/Quilt/Forge/NeoForge manifest): ns:path ids, #ns:tags, worldgen ids, function ns:x, translation keys "item.ns.x", Identifier.of("ns", "x"), full asset paths, and bare names passed to an id constructor or a helper whose name says what it loads (runFunction(server, "wisp_death")). The context picks the registry (advancement revoke ... only ns:x names an advancement, "parent" a model). Query output shows names: / named by: lines; a link whose namespace is assumed or whose kind the line does not state is marked inferred, and an analyze claim built from it is strong_inference.

  • Identical copies of a data file (a data pack shipped twice) rank once, as the copy in the source set; the others are listed as same content:.

  • Java and Kotlin calls the extractor drops (a class name that exists twice in the repository, calls through typed variables, Kotlin calling Java) are added when the file's imports or package bind the class, and graded like any call site.

  • Reference trees: verinoda setup --reference original-plugin/=original,plugin keeps an original implementation searchable but ranks it at 0.6x unless the question says "original", "plugin" or the folder name.

  • Turkish names from the repository: parallel locale files (lang/en_us.json + lang/tr_tr.json, locales/en.json + locales/tr.json) teach the lexicon that "Fener Asası" is lantern_staff.

examples/glow_mod/ is a small fictional Fabric mod with a data pack, a config file, a reference tree and a copied data pack; its question set (glow_mod, 14 questions, 7 Turkish) was written without running Verinoda on it. Results: docs/BENCHMARKS.md.

Coding agents

verinoda install --agent claude --scope project   # .claude/skills/verinoda/SKILL.md + .mcp.json entry
verinoda install --agent codex  --scope project   # .agents/skills/verinoda/SKILL.md (+ MCP config)
verinoda uninstall --agent claude --scope project # removes only what install recorded
  • Claude Code: /verinoda how does checkout reach the database?

  • Codex: mention $verinoda in the prompt. (Codex has no /verinoda command.)

The skills describe the working method; all logic lives in the CLI/MCP core. Two protocols come first:

  1. References the user gives. When the message has links, repository or package names, versions, commits, PR/issue numbers, papers or docs, the agent runs verinoda resolve "<message>" --json (MCP reference_resolve) before researching or answering. It reports each reference as <name> @ <pin> (basis: …) with each mismatch on its own line. It never substitutes the default branch for a version the user named, asks only the returned questions_for_user, and states every unresolved part with its next step.

  2. Understand the question first. verinoda plan draft "<message>" (MCP question_plan_draft). Then the agent edits the plan: it splits compound questions, glosses domain words, copies versions exactly as written, and never invents candidates. Then verinoda plan check: exit 0 ready, 2 invalid, 3 needs clarification. The agent asks only the returned clarifications (AskUserQuestion in Claude Code; request_user_input or plain text in Codex) and records the answers. Then verinoda analyze --plan <file>. The answer starts with "Understood as / Anladığım: …", followed by one block per sub-question with its verdict, claims and unknowns.

Then the evidence discipline: report claims with their status, never upgrade a status by wording, challenge what you rely on, report unknown with its next step, and treat user critique as a hypothesis (feedback add --process).

How claims stay honest

  • Relevant evidence, checked in one place. A *_verified status needs one evidence group that is verifying, fresh and mechanically entails the claim (for example: an AST call to the target at the cited line inside the claimed caller; a definition spanning exactly the cited lines). Every stored status change passes through this check, so unrelated evidence cannot verify a claim on any path (API, verify, feedback, experiments, runtime runs, MCP).

  • A graph edge (EXTRACTED/INFERRED) is never enough on its own. Search results, model summaries and user feedback are not even support for an inference. A claim with no evidence is unknown.

  • Definitive vs heuristic refutation. Only an exhaustive check within a stated scope (no call to the target on the cited line, a precise resolver's definitive different target, …) makes a claim contradicted. A heuristic doubt lowers it one step and adds an uncertainty.

  • Facet-level staleness. Claims depend on symbol facets (signature, body, name bindings, doc sections, the test set). An edit makes a claim stale on the next update/analyze only if something it depends on changed. Code that only moved is relocated through anchors, and a duplicated line is reported ambiguous rather than guessed.

  • Critique and re-verification never raise a claim above its assessed ceiling. Critique is idempotent and never restores a stale or contradicted claim.

  • Runtime observations are run-scoped ("observed in run R at commit C"). They never support an "always" claim, and calls seen through test doubles never support production edges.

  • Nothing is deleted: user corrections supersede (the old claim is kept as contradicted with superseded_by), claim text is immutable, and history, plans, reference resolutions and runtime runs are append-only.

  • Heuristics state their method and limits (coverage.limits, uncertainties, derived_by). Budget exhaustion or irrelevant retrieval yields unknown with the next verification step.

Documentation

License

Apache-2.0 (see LICENSE); portions originally under MIT (LICENSE-MIT). NOTICE records the Graphify origin and the modifications.

Related MCP Connectors

Related MCP Servers

  • A
    license
    Not graded
    quality
    A
    maintenance
    Enables locating evidence for repository questions using CodeGraph or ripgrep, providing verified results and follow-ups.
    30 npm
    MIT
  • A
    license
    Not graded
    quality
    A
    maintenance
    Local-first evidence-backed repository memory for coding agents, providing read-only tools to list concepts, explain them, get governed context packs, and verify claims against the codebase.
    69 PyPI
    11
    Apache 2.0
  • A
    license
    Not graded
    quality
    B
    maintenance
    Enables coding agents to query a local, versioned knowledge graph of a software project, retrieving overviews, context packs, evidence, and explanations to make informed changes.
    MIT
  • A
    license
    Not graded
    quality
    A
    maintenance
    Enables AI coding agents to access evidence-backed repository memory, code graph, project DNA, and deterministic change validation so they understand design decisions, past bugs, and invariants while working.
    1,092 npm
    10
    Apache 2.0