Agentic platform · Pre-launch
HiveWeaver orchestrates thousands of autonomous AI agents — as a synthetic world that answers your questions, or as a real workforce that runs your processes. Every decision recorded, every real action gated, every run reproducible.
HiveWeaver will ship as open source (Apache 2.0) with Docker images and a CLI — the release is in preparation. Questions in the meantime? We're happy to answer them through the contact form.
Same agents, same personas, same memory — only the side-effect layer changes. Promoting a simulation to production is one line in the manifest, not a rewrite.
Explore without risk
A synthetic world with no real-world side effects: opinion dynamics with 5,000 citizens, prediction markets with 10,000 traders, campaign pre-mortems. Tools with side effects are automatically replaced by plausible mocks.
Do real work
Agents work against real systems: email, tickets, pull requests, broadcast operations. Approval gates before irreversible actions, a hard budget cap, an append-only audit log — governance is an engine feature, not an afterthought.
Simulate, then act
Run 1,000 strategies overnight and execute the best one in the morning — after human sign-off. If no variant clears the confidence bar, nothing executes. The calm, evidence-backed alternative to "just run it and hope".
Classic workflow tools hard-wire processes as if/else graphs. In HiveWeaver, the flow emerges from agent decisions — from personas, goals, tools and the places where they meet.
The product owner, the arbiter, the editor-in-chief — all agents with context, tools and a job. Delegation, follow-ups and escalation are directed events, not wiring.
A watchdog that only reacts to one specific event burns zero tokens and zero compute between events. That is what makes richly staffed specialist teams affordable.
Rules and math run as code; the model produces content, never control flow — unless you want it to. Most decisions cost no LLM call at all.
A scenario is a declarative file: world, population, rules, questions. The engine never changes per scenario.
Autonomous actors with identity, traits, goals and a voice of their own — structured YAML, generatable and validatable.
Stages where agents meet: a feed, a market, a studio. Every place carries state and an event stream that agents subscribe to.
Three weeks of opinion dynamics in minutes of wall clock — logged to the minute. Agents keep working hours and react with realistic delays.
Working, episodic and semantic memory with vector recall. Changes of mind stay traceable — including the when and the why.
Domain knowledge lives in plugins, never in the engine. OpenAI, Azure, Anthropic or local Ollama — freely mixed per agent type.
Every run ends in a verifiable result with mandatory evidence, replays deterministically — and you can interview the agents afterwards.
Three very different systems, one substrate.
A publicly audible 24/7 radio station: a broadcast schedule, host duos with organic handovers, hourly news grounded in real sources — and a fact-checker that has flagged live.
Meet the stationProduct owner, architect, developers, reviewer — coordinated through real tickets and real pull requests. The result: a product that tests green from a fresh clone.
Read the case studyA real referendum re-simulated to within ~9 points of the actual result — with the analysis published. Calibration here is measured, not claimed.
Read the case studyPolicies decide what passes — humans decide the rest, with escalation chains and deadlines.
Enforced before every model call, not reconciled afterwards. A $15 cap is $15.
Every real action with mode, cost, approval and trace id — the causal chain stays reconstructible.
Recorded responses are replayed, never re-executed — no model is asked twice.
Two independent enforcement layers, tenant-bound encryption — the tenant id never travels on the wire.
Article-17 deletion including cryptographic key destruction is implemented, not planned.
The 24/7 radio station is our public showcase — listen in once you've seen what's behind it. HiveWeaver itself will ship as open source with Docker images and a CLI; we're preparing the release right now.