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Show HN: An open-source multi-tenant, AI-native software factory

Missing Studio released Eva 0.1.0, an open-source, multi-tenant, AI-native software factory that logs every interaction to disk as evidence, with the terminal chat client showing only what is already recorded. The tool, built in Go 1.26, supports Anthropic and OpenAI providers, and its roadmap includes a control plane for coding agents with verifier-scored races, though current version lacks file, test, and shell tools.

read11 min views1 publishedAug 10, 2026
Show HN: An open-source multi-tenant, AI-native software factory
Image: source

Evidence, not claims.

An autonomous, multi-tenant, AI-native software factory

Most AI tools tell you what they did. Eva writes it down first.

Every question you ask, every answer that comes back, every retry, and every token counted is appended to a file on your disk as it happens. What you see on screen is read back out of that file. If Eva shows you an answer, the file already had it. There is no second version of events.

That sounds like a small thing. It is the whole design.

$ eva

 EVA
 Evidence, not claims

 version  0.1.0+e839c8a
 model    claude-sonnet-4-5
 branch   main
 cwd      ~/code/eva

 type /help for slash commands

β€Ί what's the difference between a cache write and a cache read?

A cache write stores your prompt prefix so later calls can skip re-reading
it. A cache read is one of those later calls hitting the stored copy…

β€Ί /cost
session 1.2k in / 340 out Β· cache 2.0k write / 1.1k read Β· cost unreported

Notice cost unreported

. Neither Anthropic nor OpenAI returns a dollar figure with a response. So Eva says so, rather than multiplying tokens by a price it looked up somewhere. A number you can argue with a bill about has to come from the bill.

Note

Eva is early. Today it is a good terminal chat client with a very carefully built foundation. It can read your question and answer it. It cannot read your files, run your tests, or touch your shell β€” there are no tools yet.

Eva is being built toward a control plane for coding agents. Work arrives as a spec with acceptance criteria a machine can check. Several harnesses race the same spec in isolated environments. A verifier Eva owns decides what actually passed, and the whole race is scored from the same record everything else is scored from.

The reason for building the foundation this carefully first is the ladder in docs/explanation/the-ladder.md. The usual story goes model β†’ agent β†’ harness β†’ factory. That chain skips five rungs, and each omission is a known way this fails:

The rung that gets skipped What breaks without it
Workflow
Control flow is handed to the model before the model can hold it
Environment + verifier
Nothing tells the agent it is wrong, so it never converges
Scheduler + spec format
More agents is not a factory. A factory needs a queue and a spec
Learning loop + economics
No evals, and no cost per merged change
Intent + authority
Nobody owns what was decided, and nobody answers for it

Nineteen stages, each with an exit test it can fail. One of them is built. The plan is a draft; the stage that shipped is not.

You need Go 1.26 or newer. Nothing else.

git clone git@github.com:missingstudio/eva.git
cd eva
go build -o eva ./cmd/eva

That produces a single binary in the current directory. Put it on your PATH

if you want it everywhere.

Eva talks to Anthropic and OpenAI. Pick one.

export ANTHROPIC_API_KEY=sk-ant-...
./eva

That's the whole setup. Anthropic is the default, so nothing needs configuring.

For OpenAI, create a settings file and name the provider:

./eva init                       # writes ~/.eva/config.toml
export OPENAI_API_KEY=sk-...
[provider]
name = "openai"

One line is enough. The model and the key variable follow the provider you picked, so you get gpt-5.6-terra

reading OPENAI_API_KEY

without saying either out loud.

If you pay OpenAI monthly, you can use that instead of an API key:

./eva login

It prints a URL and a short code, you approve it in a browser, and the credential is saved to ~/.eva/auth.json

. Then set the mode in ~/.eva/config.toml

:

[provider]
name = "openai"
auth = "subscription"

Check what Eva will actually use at any time:

./eva auth status
provider: openai
auth:     subscription
store:    /Users/you/.eva/auth.json
login:    account acct_1a2b, valid until Mon, 11 Aug 2026 09:14:00 IST

Important

** auth decides, and nothing overrides it.** If it says

subscription

, an exported OPENAI_API_KEY

is ignored, and eva auth status

will tell you so rather than quietly using it. Most tools try the environment first, which is how people bill the wrong account for a month without noticing. (why)

Your key is never written to a settings file. Eva reads it from the environment, or gets it when you log in. It never appears in the history file, a log, or anything sent to a model.

Run eva

with no arguments and type. Answers stream in as they arrive.

Key What it does
enter
Send
shift+enter or alt+enter
New line without sending
ctrl+c
Stop the answer in progress, keep what you typed
ctrl+d
Quit
tab
Finish a slash command
shift+↑ ↓, pgup pgdn
Scroll back
ctrl+home / ctrl+end
Jump to the top / back to live

Interrupting is safe. The conversation stays usable and the history file records that you stopped it.

Type /

at the start of a line. These are handled locally and never reach a model, so they cost nothing.

Command What it does
/help
List the commands
/cost
What this conversation has cost so far
/clear
Start a fresh conversation
/model
Show which model is answering
/model gpt-5.6-terra
Switch models, keeping the conversation
/login
Explains that logging in happens outside the chat

/model

swaps the model mid-conversation without dropping context, so the next answer still knows what you talked about. Eva doesn't keep a list of valid model names, because a list compiled last month would reject a model released last week. If the provider doesn't recognise the name, that answer fails and tells you.

/clear

starts a new conversation rather than deleting messages from the current one. Your old messages are still in the history file either way. (why)

eva -p

answers one question, prints it to stdout, and exits.

eva -p "explain this error" > answer.md || echo "that failed"

It exits non-zero when the answer failed, and writes the reason to stderr. That makes it safe to use in a pipeline: stdout is the answer and nothing else.

β€Ί what is this?

No response β€” the credential was refused
provider.auth is "api_key", so what anthropic refused is the key in
$ANTHROPIC_API_KEY

Two lines, both true. The first names the kind of failure, in Eva's own words rather than the vendor's error document. The second appears only when Eva checked something about your machine, and only when that fact leaves exactly one next step. A missing login says run eva login

because that is certainly the fix. A refused key says which key was sent and stops, because revoked, wrong organisation, and suspended account all look identical from here. Sending you to fix something that was never broken costs you every later hint that would have been right. (why)

Command What it does
eva
Open the chat
eva -p "<question>"
Answer once, print to stdout, exit
eva init
Write a starter settings file
eva login
Sign in to a subscription
eva auth status
Show how Eva will authenticate
eva help
Show this list

Two flags, and that's deliberate: --config <path>

picks a settings file, -p <question>

asks one question. Everything else is a setting, because settings are reviewable and flags are not.

Environment variable What it's for
ANTHROPIC_API_KEY
Your Anthropic key
OPENAI_API_KEY
Your OpenAI key
EVA_CONFIG
A different settings file (default ~/.eva/config.toml )
EVA_HOME
A different home for Eva's files (default ~/.eva )

eva init

writes ~/.eva/config.toml

with every option present but commented out, and a note beside each saying what happens without it. Nothing is chosen for you. Uncomment a line to change it.

Here is what Eva does with none of it written down:

model = "claude-sonnet-4-5"     # follows the provider if you leave it out

[provider]
name        = "anthropic"       # anthropic or openai
auth        = "api_key"         # api_key or subscription
api_key_env = "ANTHROPIC_API_KEY"
base_url    = ""                # a proxy, gateway, or local server
max_tokens  = 0                 # 0 lets the provider decide

[trace]
path = "~/.eva/trace.jsonl"     # where the history goes
kind = "jsonl"                  # which writer keeps it

[identity]
tenant     = "local"
actor      = "local"
actor_kind = "human"            # human, agent, or system

Colours, glyphs, spacing, and key bindings live under [theme]

and [keymap.bind]

, and the starter file lists those too. Set none of them and Eva looks exactly as it did before any of it was configurable. Colours follow your terminal's background and what it can display, so it fits in without being told.

Settings are read from four places, each overriding the one before: built-in defaults, your file, the project's file, then --config

. Eva works fine with none of them.

A typo is an error, not a shrug. Write modl = "..."

and Eva refuses to start and names the key. A settings file that silently ignores what you wrote is worse than one that won't load.

A repo can carry .eva/config.toml

, found by walking up from wherever you are. Handy for sharing a team's look:

[theme.colors]
person = "#7AA6DC"

[theme.symbols]
prompt = "β€Ί "

[keymap.bind]
follow = ["ctrl+g"]

Warning

A repo can change how Eva looks, never what it does. You clone a repo from the internet, and Eva reads that file before your first question, in a process holding your API key. So the list of what it may set is a short allow-list: appearance and key bindings. It cannot pick the model provider, point traffic at another server, rename the variable your key is read from, or move your history file. Anything else in that file is refused by name. (why)

Eva is strict about naming, because the same concept under three names is how a codebase rots. Five of them show up in the docs and the code:

Word Plain English
Session
One conversation. Survives a crash. What resume and rewind will act on.
Run
One question and its answer. A conversation has many.
Turn
One round trip to the model. A single Run may need several once tools exist.
Trace
The history file. The single source of truth for what happened.
Provider
A model behind one interface: Anthropic, OpenAI, whatever comes next.

The full list is CONTEXT.md, including the words that were tried and retired.

One Go module. Data flows one way, and the compiler enforces it.

   you type                                     you read
      β”‚                                            β–²
      β–Ό                                            β”‚
   β”Œβ”€β”€β”€β”€β”€β”€β”    β”Œβ”€β”€β”€β”€β”€β”€β”    β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”        β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”
   β”‚ tui  │───▢│ loop │───▢│ providers β”‚        β”‚ render β”‚
   β””β”€β”€β”€β”€β”€β”€β”˜    β””β”€β”€β”¬β”€β”€β”€β”˜    β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜        β””β”€β”€β”€β–²β”€β”€β”€β”€β”˜
                  β”‚                                 β”‚
                  β–Ό          committed first        β”‚
              β”Œβ”€β”€β”€β”€β”€β”€β”€β”  β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
              β”‚ trace β”‚      then shown
              β””β”€β”€β”€β”€β”€β”€β”€β”˜

The important part is the bottom. Nothing reaches your screen that didn't go through the file first. The rendering layer physically cannot talk to a model, a conversation, or the history file. It takes records and returns strings, and that's all it's allowed to import.

Package What lives there
events

core

trace

config

auth

providers

anthropic

and openai

.loop

render

,theme

tui

cli

Those boundaries are an allow-list per package in .golangci.yml, running in strict mode. An import nobody explicitly permitted fails the build. Widening a list is a visible line in a diff with a reason next to it, not something that happens by accident.

Three decisions do most of the work:

A provider only knows how to dial, read a chunk, and hang up. Queueing, retrying, and counting are written once and shared. Adding a provider is a few hundred lines, not a copy of the machinery. (0034)Things register themselves. Providers and file writers add themselves to the set that settings choose from. So the wiring layer names no implementation, and the error listing your options cannot go stale. (0028)The screen is a read-only view. It renders records and nothing else. (0015)

make check

That is exactly what CI runs: formatting, build, vet, lint, tests, every package.

Target What it does
make check
Everything below, in order
make fmt
Fails if anything isn't gofmt-clean
make lint
golangci-lint, where the package boundaries are enforced
make test
Every package
make eva
Build the binary into the repo root
make tidy
Tidy dependencies

The linter version is pinned and run via go run

, so you don't install anything and your results match CI.

Tests drive the real Anthropic and OpenAI code against a local server speaking the real protocol. There's no mock provider, because a mock is a second implementation that can disagree with the first and be believed. (0036)

|

docs/how-to/docs/Product.mddocs/roadmap.mddocs/decisions.mddocs/adr/ls

is the index.CONTEXT.mdAGENTS.mddocs/agents/design-rules.mddocs/agents/project-structure.mdNothing in docs/adr/

is ever rewritten or deleted. When a later decision overturns an earlier one, the old file says so in its own status line and stays. Being wrong is part of the record too.

MIT. See LICENSE.

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