2026-10-11 16:36 UTC

Kolega.ai launches Kolega Code, a free local-first coding agent that autonomously decomposes tasks into multi-agent workflows with a planner, parallel specialist sub-agents, and journaled runs, providing a self-orchestrating harness for work exceeding single context windows.

state: seedheat: lowuncertainty: mediumconvergesscott: highagent-harnesses agent-orchestration multi-agent-workflowsKolega Labsfabioricardo7

What is this?

Kolega Labs (kolega.ai) has launched Kolega Code, an open-source, local-first coding agent (pip install kolega-code) that uses a 'Gigacode' engine: a planner decomposes tasks, parallel specialist sub-agents execute independent tracks, and every phase is journaled for auditability and resumability. The system is provider-agnostic — 'your machine, your keys, no model lock-in' — and positioned for work exceeding single context windows. Kolega Labs frames this as the same engine they run on client engagements, alongside Kolega Scan (security scanning) and the RealVuln benchmark, with an 'Own Your Agent' guide emphasizing evidence-driven agentic coding and security. The launch appears on Show HN and their site; the GitHub repo exists at github.com/kolega-ai/kolega-code.

Why it matters to Scott

Kolega Code ships a local-first, provider-agnostic coding agent that implements Scott's Agent-Native Computing doctrine (machine-native middle, human-legible boundaries, hard authority underneath), Code-First Architecture (code as universal tool interface, progressive discovery, private data movement), Micro-Agents Architecture (planner/router → parallel specialist workers with narrow contracts), and Long-Running Agents (journaled runs as durable external kernel for resumability). Its 'Own Your Agent' guide and evidence-driven security posture directly mirror Sovereign Software Assurance and the two-leashes governance sandwich. This is a consequential third-party arrival at multiple load-bearing positions Scott has argued and built for.
ip:framework.agent-native-computingip:framework.code-first-architectureip:framework.micro-agents-architectureip:framework.long-running-agentsip:framework.markdown-osip:framework.sovereign-software-assuranceip:framework.two-leashesip:concept.parallel-agent-by-concernip:concept.durable-external-stateip:concept.agent-receiptsip:concept.auditabilitydev:technology.ollamadev:technology.opencodedev:technology.codex-clidev:technology.goosedev:project.gamepcdev:project.silo-osdev:concept.resumable-agent-job-control-planedev:concept.attributable-named-agent-runsradar:concept.agent-harnessesradar:concept.multi-agent-orchestrationradar:concept.agent-memoryradar:concept.local-firstradar:concept.coding-agentsradar:concept.local-inferenceradar:concept.agent-interoperabilityradar:concept.self-hostingradar:concept.open-source-agentsradar:concept.privacyradar:openheim-multiprovider-agent-runtimeradar:trueforge-open-agent-harnessradar:prux-minimal-terminal-coding-agentradar:ante-offline-coding-agentradar:forcefield-local-first-agent-runtime
queries asked of Scott's wikis
  • local-first provider-agnostic agent harness patterns
  • multi-agent orchestration planner specialist sub-agents parallel
  • journaled agent runs audit trail resumability agent memory
  • open-weight local model support in coding agents
  • agent harnesses for work exceeding context windows
  • agent sovereignty no lock-in own keys own machine

Measured heat

now 0 pts/hpeak 2 pts/hcomments 0/hpeers p26momentum: steady2 platformsage 3607h
points/hour across evidence · reading as of 2026-10-12 02:59:37.977291+11:00 · deterministic, not a model opinion

How the heat travelled

05-14 08:50⭐ origin echo-reconstructedThe HN post links to kolega.ai/code, a product page for "Kolega Code — The production engine. A local-first, provider-agnostic coding agent
Kolega Labs (KLG Tech Innovations Limited) — GitHub org "kolega-ai" on github (echo) · attributed from hn.story.50041856
—
10-11 11:01first on hacker news · published · +3602.2hShow HN: A free coding agent that writes its own multi-agent workflows
fabioricardo7
—
10-11 11:01amplified on hacker news 👑hn.story.50041856
fabioricardo7
peak 1 · 0 comments · 106% of case engagement
10-11 11:30our radar first saw it · +3602.7hdiscovery anchor: hn.story.50041856—

Evidence (2) — ⭐ canonical anchor

sourceobjectauthorscorecomments
🟧 hnShow HN: A free coding agent that writes its own multi-agent workflows
Retrieved article excerpt

Open article · Retrieved 2026-10-11T11:36:52.811475+00:00

[Toolchain](https://kolega.ai/toolkit) / Kolega Code

ENGINEER kolegacode.com · open source

# Kolega Code

The production engine.

A local-first, provider-agnostic coding agent built for work that is too large for one context window. A planner decomposes the task, specialist sub-agents run parallel tracks, and every phase is journaled, reviewable and resumable.

Put Code in your team's hands [View on GitHub ↗](https://github.com/kolega-ai/kolega-code)

# install · pypi · python 3.11+

pip install kolega-code && kolega-code .

Local-first

Your machine, your keys, your repo.

Open source

The same engine we run on client work.

Provider-agnostic

No lock-in to a single model vendor.

Journaled

Every run leaves an audit trail.

# gigacode

## Spawn a whole engineering team in your terminal.

One command fans out a coordinated org of specialised sub-agents. A planner decomposes the work, independent coders take parallel tracks, and a reviewer consolidates before anything touches your branch. The run is written down as it goes.

kolega-code . · gigacode on

$ kolega-code .

/gigacode on

› migrate the loan API from Flask to FastAPI

⊢ planning agent · workflow: pipeline (3 phases)

◐ coder[routes] rewriting endpoints

◐ coder[schemas] pydantic models

◐ coder[tests] parity suite

⊢ reviewer agent · consolidating diffs

✓ phases journaled · resumable · diff ready to review

→ handing off to devsec · scan before merge

# the org it builds

plannerDecompose & sequence

Reads the codebase, splits the task into phases, decides what can run in parallel.

├─ fan out ─┤

coder

routes

coder

schemas

coder

tests

└─ converge ─┘

reviewerConsolidate & hand over

Resolves conflicts across tracks and presents one diff for a human to approve.

Why it matters on regulated work: a cross-cutting migration is not one long conversation, it is dozens of dependent changes. Fanning them out is how the work finishes; journaling them is how it gets signed off.

# control

## Read-only until you say otherwise.

Plan mode investigates and proposes without touching a file. Build mode applies reviewed diffs. Shift+Tab switches between them, and anything outside the working tree (a shell command, a network call, a write beyond scope) asks first. On client engagements that boundary is not a preference, it is the control that makes the agent auditable.

scope

### Permissions per session

Grant once, for one path, for one run. Nothing persists silently.

local

### Your machine, your keys

Sessions, tokens and transcripts stay on the box you ran it on.

loan-servicing-api PLAN MODE

› where is interest accrual calculated?

read 41 files · no writes

accrual/daily.py:88 → ledger/post.py:214

shift+tab → build mode

⚠ permission required

run pytest tests/accrual · write accrual/daily.py

allow oncedeny

✓ diff staged · 2 files · awaiting your review

# what a run leaves behind

## Every run is evidence.

Transcripts, phase journals and diffs are written to disk as the work happens. On a regulated change that record is not a nicety, it is the paper trail, and it is the same artefact set CAM™ certifies against.

.kolega/run-2026-08-14T0912/

├─ transcript.md human-readable log

├─ run.jsonl machine-readable trace

├─ phases/ plan, status, resume point

├─ diffs/ every change, per phase

└─ approvals.json who allowed what, when

[How this feeds CAM™ evidence →](https://kolega.ai/cam)

# no vendor lock-in

## Bring the model you're allowed to use.

Frontier, hosted or fully on-premise. In regulated environments the constraint is usually where the data may go, not which model is best this quarter, so the engine treats the provider as configuration.

Frontier APIs

Hosted model APIs

Your cloud

Managed endpoints in your tenancy

On-premise

Open-weight models, air-gapped

Mixed

Cheap models for grunt work

Built for work one agent can't cover

Cross-cutting migrations, multi-service refactors, parallel feature tracks on one repository, and framework upgrades that touch every layer at once.

Where it sits

## The middle of the toolchain, not the whole of it.

[before

### Kolega Studio

Prototype the idea and settle scope before the production build starts.

More on Studio →](https://kolega.ai/studio) [after

### Kolega DevSec

Every branch scanned, fixed and hardened before it merges.

More on DevSec →](https://kolega.ai/devsec)

## Coding at the speed the market expects.

We deliver with Kolega Code, and we teach your engineers to work the same way. Open core, managed when you need scale and support.

Talk about enablement
fabioricardo710
🟧 echo.github ⭐The HN post links to kolega.ai/code, a product page for "Kolega Code — The production engine. A local-first, provider-agnostic coding agent Kolega Labs (KLG Tech Innovations Limited) — GitHub org "kolega-ai"——

Interpretation history

Decision trace