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Hacker News - Newest: "AI"

AI can't read an investor deck AI as an attorney? Student uses ChatGPT, Gemini to sue UW over alleged racial discrimination Hacking MCP Servers in AI Systems – The Rug Pull: Tool Changes After Approval GitHub - MeepCastana/KubeezCut: Free Web based video editor Can AI judge journalism? A Thiel-backed startup says yes, even if it risks chilling whistleblowers Coming soon: 10 Things That Matter in AI Right Now DARPA built an AI to fact-check enemy weapons claims What explains heterogeneity in AI adoption? When AI Meets Muscle: Context-Aware Electrical Stimulation Promises a New Way to Guide Human Movements - Department of Computer Science AI Changed How We Build. It Did Not Change What Matters. Linux rules on using AI-generated code - Copilot is OK, but humans must take 'full responsibility for the… Meta spins up AI version of Mark Zuckerberg to engage with employees Code Mode: Let Your AI Write Programs, Not Just Call Tools | TanStack Blog GitHub - Delavalom/graft: Go framework for building AI agents. Type-safe tools, multi-provider (OpenAI, Anthropic, Gemini, Bedrock), zero vendor SDKs. India's TCS tops estimates, says new AI models did not dent services demand Gen Z's fading AI hype Strong feeling: we are in a folded AI reality GitHub - machinarii/total-recall-catalog: A reference catalog of latest knowledge retrieval, memory & RAG systems GitHub - mensfeld/code-on-incus: Give each AI agent its own isolated machine with root, Docker, and systemd. Active defense detects and stops threats automatically.. Quantization, LoRA, and the 8% Problem: Benchmarking Local LLMs for Production AI Iran war: We spoke to the man making Lego-style AI videos that experts say are powerful propaganda Powell, Bessent discussed Anthropic's Mythos AI cyber threat with major U.S. banks GitHub - immartian/bellamem: Persistent belief-graph memory for AI agents. Retrieves decisive context by importance — not recency, not RAG, not /compact. recursive-mode: The Repo-Native Operating System for AI Engineering After the attack on Sam Altman's home, will AI CEO's go on the offensive? The biggest advance in AI since the LLM Opus 4.6 vs GPT 5.4 One Prompt Unity World Generation Test “AI polls” are fake polls Client Challenge Can AI be a 'child of God'? Inside Anthropic's meeting with Christian leaders
Sync — Take AI agents under absolute control
Sync · 2026-06-15 · via Hacker News - Newest: "AI"
Free & private — star it on GitHub

Sync is the project-management and quality-control layer your AI agents work against. Define your specs, rules, decisions, and roadmap once — Sync holds every agent accountable to them, so they build against your architecture instead of hallucinating or repeating past mistakes. When the code moves, stale context gets flagged and the agent has to stop and ask.

From install to results in one step. Runs entirely on your machine — nothing is ever uploaded. Currently in alpha · v0.4.5. Building team & cloud features — join the waitlist.

MCP server · Desktop app · Built-in terminal · Claude Code · Cursor · Zed · Codex · OpenCode

sync — workspace

The Sync workspace — a valid decision and a stale constraint, each bound to the code it describes, in sync with the repo

Bad context is how you and your agent drift apart

An agent is only as aligned as what it reads. Point it at stale, scattered context on a large task and it heads off course — confidently, while you're looking the other way.

Pattern-matches stale text

It trusts whatever it finds, even when the code moved on months ago.

Hallucinates the gaps

Where docs are missing, it invents plausible-but-wrong context.

Re-introduces dead decisions

It re-litigates choices you already overturned, again and again.

Get started in seconds

Three steps to agent control

No mandatory terminal commands, no git clone, no long configuration files. Everything happens in the desktop app or with a single click.

  1. 01

    Install the desktop app

    Download Sync for macOS, Windows, or Linux. One binary, no dependencies — just open it.

  2. 02

    Open your project folder

    Point Sync at any local repository. It sets up the .sync/ knowledge base automatically — no manual config.

  3. 03

    Connect your favorite agent

    The Welcome wizard wires up Claude Code, Cursor, Zed, Codex, or OpenCode instantly — and you can run them right inside Sync's built-in terminal. No config files.

Latest release v0.4.5 · macOS, Windows & Linux · free and open source

Workspace

Api

2

Decisionvalid

Use queue-based ingestion for uploads

Decouples the API from processing so a slow worker never blocks a request. Supersedes the inline approach.

src/server/ingest.tslinked to 2 constraints

Constraintstale

Uploads must stay under 10 MB

The file it describes changed in the last commit — Sync flags it for review before your agent trusts it.

src/server/upload.tstouched 2h ago

sync · alpha · a1b2c3dM1 read-only · v1

How Sync is different

Built to govern agents, not just feed them text

AI coding agents are powerful, but without a plan to work against they cause architectural drift, forgotten decisions, and regressions. Memory files and wikis can hold context — they aren't built to keep an agent accountable to your project. Sync is: a mission-control layer above your editor and agent.

Sync

Project management & quality control

Memory systems

e.g. Cursor rules

Documentation

Confluence · Notion

Primary goal

Control agent results & enforce quality

Provide simple text context to the agent

Human-readable knowledge sharing

Structure

Strict, agent-readable constraints & widgets

Free-form text files

Unstructured text, tables, images

Staleness tracking

Automatic — tied tightly to code changes

None / manual

Manual audits required

Agent behavior

Must respect the rules; asks for approval when context goes stale

Reads notes, but often ignores them

Usually can't access it seamlessly

User experience

Visual Project Hub, widgets, direct oversight

Simple text editing

External web interface

Sync works as a highly effective memory system too — but its real power is governance and quality control.

Why Sync

One source of truth you and your agent share

Structured, versioned, and always current — so you and your agent (and the whole team) build the same thing, instead of you cleaning up after it drifts.

Project Hub & Widgets

Your mission control for AI agents

Not just notes — a task tracker agents actually work against, with a visual dashboard that shows exactly what's happening in your project right now.

A roadmap your agent reads

Set milestones, define specs, and the agent pulls what's next from your plan — not its own guess. Blocked work drops out of the queue. You see progress in real time.

Widgets you or your agent build

Add widgets to visualize project health, open questions, stale entries, or any metric. Your agent can create dashboards too — turning Sync into a living operations console.

And more

Built to keep your shared context honest

A validation state you can trust

Every entry is valid, unverified, stale, or invalid — so neither you nor your agent ever builds on context that quietly went wrong.

Speaks your language

Choose the language your agent writes docs in. Ready-made presets, plus any BCP-47 tag — so specs, decisions, and docs read naturally for your team.

Backlinks & knowledge graph

Typed links — depends_on, supersedes, references — built from frontmatter, manual links, and body mentions.

Questions & inline comments

Discussion pinned to exact text. A human answer becomes the canonical, attributed part of the spec.

Multi-project workspaces

Switch between projects from the side rail, or group several into a curated workspace and steer them as one.

Tied tightly to your code

Every entry is bound to the files it describes. When the code changes, Sync re-checks the affected knowledge and flags what drifted — no manual audits.

Built-in quality gates

We don't pretend AI never gets it wrong

Projects change. Files move. APIs get renamed. Left unchecked, your agent keeps trusting context that quietly went stale — and it won't tell you. Sync's staleness engine ensures it has to.

Flags stale context automatically

When a commit touches files a spec or decision describes, Sync marks it stale — pointing at the exact commit and drifted files. No manual audit.

Forces the agent to stop and ask

Instead of silently building on old data, the agent has to surface what went stale and ask you to re-validate it — shutting down the #1 hallucination path.

You review and approve

Nothing is auto-committed. You review the agent's proposed decisions and answer its questions in the Project Hub — you're always in the driver's seat.

Who is it for

For anyone who ships code with AI

Whether you're building solo or leading a team, Sync makes your relationship with agents predictable — and keeps you in charge.

Founders & indie hackers

Delegate routine to agents, keep the architect role. Set the direction once — the agent builds against your plan, not its guess.

Developers

Stop repeating instructions to your agent. Write a spec once, link it to the code, and every session gets the canonical version — reasoning included.

Product managers

Write specs the AI actually reads and executes — not prose that dies in Notion. Link acceptance criteria to milestones. Watch progress happen.

And not just software. Because your agent authors custom widgets, the Project Hub adapts to whatever you're building:

Trading & automation botsLanguage learningResearch & knowledge basesContent & writingPersonal projects

Be first when the team features land

Sync is free and open source today. We're building team and cloud features next — drop your email and we'll tell you first. No noise in between.

FAQ

Frequently asked questions

What is Sync?

+

Sync is the project-management and quality-control layer your AI agents work against. You define the project — its specs, rules, decisions, and roadmap — and Sync holds every agent accountable to it, so they follow your architecture and constraints instead of hallucinating or repeating past mistakes. Everything lives in your repository; there is no cloud, no account, and no telemetry.

How is it different from a wiki or Markdown docs?

+

Wikis and Markdown rot silently: nothing tells you when a page no longer matches the code, and your agent usually can't access them seamlessly anyway. Sync stores structured, agent-readable specs and constraints, ties each one to the files it describes, and flags it stale when those files change — so the agent never pattern-matches against out-of-date information.

Isn't this just a memory system for agents?

+

You can use Sync as a highly effective memory system — but that's not the point. Memory tools pass raw text to the agent and hope it's still true. Sync's job is governance: it ties every spec, decision, and constraint to the code it describes, makes the agent respect them, flags them stale when the code changes, and forces it to stop and ask for your approval before acting on old data. The power is control and quality, not just recall.

How does it keep me in control of the agent?

+

You set the plan the agent works against — goals, milestones, and specs ranked by priority. As it works, the agent reads your constraints, updates the roadmap, and files open questions when it hits ambiguity; your answers become canonical. You overturn decisions and set constraints it must respect. Nothing is auto-committed — you review and approve every change. You steer the direction; the agent follows.

Where is my data stored?

+

In your repository. Sync writes plain files under `.sync/` — there is no SaaS backend, no account, and nothing is uploaded. Your knowledge is versioned, reviewable in pull requests, and travels with the code.

Which agents and editors work with Sync?

+

Any MCP-capable client. The Welcome wizard wires up Claude Code, Cursor, Zed, OpenCode, and Codex for you instantly — and you can run them right inside Sync's built-in terminal. For anything else, point your client at the binary with `claude mcp add git-sync -- git-sync mcp`. Sync ships as a desktop app and a CLI, and the binary itself is the MCP server.

Is it ready to use?

+

Sync is currently in alpha. It's usable today and improving fast, but the internal data model can still change between releases. Hit a rough edge? Open an issue on GitHub — issues and pull requests are warmly welcome.

Is it free? What's the catch?

+

Sync is free and open source under the Functional Source License (FSL-1.1-MIT), which reverts to MIT two years after each release — free for all non-competing use. It runs entirely on your machine. Paid team and cloud features are coming later — join the waitlist to be first in line.

Stop hoping. Start knowing.

Sync is free and open source. Nothing is uploaded — everything lives in your repo, on your machine. Your agent works from reviewed context that matches your architecture, and you approve every change.