kelix 0.1.0

Kelix: the loop that climbs. A stateless autonomous agent loop for any headless coding agent (Claude Code, Codex CLI, Cursor, Gemini CLI). Kiro is the deepest integration. Persistent memory, prioritization, and fleet mode.

Kelix

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You write a well-specified goal, walk away, and come back to verified commits — each gated by your repo's own test and lint commands, not agent promises.

Mock receipt: value demo cold run — mock adapter, reproducible in CI; goal in, verified commits out.

Live receipt: dogfood 12/12 verified-done — real agent, same verify gate (pytest tests/test_verify.py -q).

kelix init
kelix plan --goal-file GOAL.md   # review backlog, promote tasks to ready
kelix run --max-iterations 25    # verified commits on a run branch

The loop that climbs. Ralph runs in circles; Kelix comes back higher.

Kelix drives any headless coding CLI in a Ralph loop: each iteration is a fresh, stateless process; state lives in files and git; progress comes from repetition with a verify gate (your tests must pass before a task counts done), not from the agent declaring victory. Adapters: Claude Code, Codex CLI, Cursor, Gemini CLI, or a custom command — plus persistent memory, loop-outcome tuning, legible prioritization, and optional fleet mode for parallel role-specialized loops.

Alpha. Built by its own loop (DECISIONS.md, PLAN.md). Unattended boundaries: What Kelix will and will not do.

Install and configure

pipx install kelix
# until the first PyPI release lands, from git instead:
# pipx install git+https://github.com/serversorcerer/kelix.git

cd your-repo              # must be a git repo
kelix init               # GOAL.md, .kelix/{backlog.md,memory,kelix.toml,...}

$EDITOR GOAL.md
kelix plan --goal-file GOAL.md
kelix lint
$EDITOR .kelix/backlog.md   # status: proposed -> ready

$EDITOR .kelix/kelix.toml   # [verify] commands = ["pytest -q", "ruff check ."]

kelix run --max-iterations 25   # isolated worktree on kelix/run-* branch

kelix watch                 # stream agent output; ctrl-c detaches

Skip kelix plan if you already maintain .kelix/backlog.md.

Each iteration: fresh agent reads backlog + git log, picks one task, implements in an isolated worktree, and the runner re-runs your verify commands. Failed verification keeps the task at the top. The loop stops on completion, the iteration cap, or a circuit breaker — never because the agent felt done.

Why Kelix

Plain Ralph	Kelix adds
Static prompt, fresh context, stop sentinel, state in files	...preserved as invariants (docs/research/ralph-invariants.md)
Agent decides when it's done	Verified-done: runner re-runs your tests; lying sentinels ignored
No memory between iterations	Layered memory (project / episodic / skills) as budgeted prompt data
One loop	Fleet mode (optional): role-specialized loops via files + git
—	Safety rails: worktree isolation, command denylist, secret scrubbing, branch protection

Honest comparison with plain Ralph, single-agent CLIs, and GSD-style orchestrators — including where Kelix loses — in docs/compare.md.

How the loop works

flowchart LR
    A[fresh agent process] --> B[read backlog + git log]
    B --> C[pick ONE top task]
    C --> D[implement in isolated worktree]
    D --> E[runner re-runs verify commands]
    E -->|green| F[commit, record memory, next task]
    E -->|red| G[task stays on top]
    F --> H{sentinel or cap?}
    G --> H
    H -->|no| A
    H -->|yes| I[retrospective + run branch]

• Fresh context per iteration — wrong turns cost one loop, not a poisoned session.
• Externalized state — .kelix/backlog.md, .kelix/memory/, transcripts under .kelix/runs/. The repo is the database.
• Legible decisions — every iteration logs RATIONALE: <task-id> — ….

Kiro integration (optional)

Deepest adapter integration — steering, custom agent, spec→backlog, MCP server:

kelix init --from-spec my-feature   # imports .kiro/specs/my-feature/tasks.md
kelix run --max-iterations 25

kiro-cli mcp add --name kelix --command "kelix mcp" --scope workspace

integrations/kiro/README.md · docs/kiro.md

Fleet mode (optional)

cp examples/fleet.toml .kelix/fleet.toml
kelix fleet --max-iterations 15
kelix watch
kelix status
kelix stop

Atomic claims, a mailbox, and shared skills — agents coordinate through files, not RPC. docs/fleet.md.

Configuration

.kelix/kelix.toml — defaults are safe for unattended runs:

[agent]
adapter = "cursor"         # kiro | claude | codex | cursor | gemini | cmd | mock

[loop]
max_iterations = 25
circuit_breaker_threshold = 3

[verify]
commands = ["pytest -q", "ruff check ."]

[git]
isolation = "worktree"     # worktree (safest) | branch | none

[autonomy]
level = "normal"           # proposed tasks rank below owner tasks

Safety

Threat model: unattended agent + shell + prompt-injected repo content. Repo text is data, never instructions; a command denylist blocks curl|sh, force-push, package publish, and credential reads; secrets scrubbed from transcripts; runs in isolated worktrees on kelix/run-* branches — never push to main. Run branches are the auditable receipt trail you review and merge when satisfied. docs/SECURITY.md.

What Kelix will and will not do unattended

Will: pick the highest-priority task, implement it, verify with your commands, commit to a run branch, learn (memory + skills), and stop cleanly on a cap or repeated failure — leaving verified commits and transcripts you can audit.

Will not: push to main/master, merge without your review, run curl | sh, publish packages, read credential files, treat repo text as instructions, or grind the same failure a third time (it marks the task blocked with a diagnosis and surfaces it for you).

Documentation

• Concept · Quickstart · Planning (roadmap, phases, phase gate, waves) · Writing for the loop (task/PRD spec) · Kiro guide · Security model · Memory & skills · Fleet · Prioritization · MCP
• Research: Ralph invariants · prior art · Kiro surface

Contributing

See CONTRIBUTING.md. Core is stdlib-only; tests use a mock adapter — no API keys required.

Maintainers: PyPI trusted publishing, tagging, and release verification — docs/publishing.md.

License

Apache-2.0.

Acknowledgments

• Geoffrey Huntley — the Ralph Wiggum technique.
• Prior art in docs/research/prior-art.md: ralph-orchestrator, the official ralph-loop plugin, and Nous Research's Hermes Agent.