hivemind-ai 1.0.0

Orchestrate distributed swarms of AI agents that collaboratively solve complex tasks.

Hivemind

Distributed AI Swarm Runtime

Hivemind is a distributed AI swarm runtime for coordinating large numbers of AI agents across complex tasks. Orchestrate multi-agent systems with a swarm execution model: tasks are decomposed into subtasks, executed in parallel, and coordinated through a scheduler and dependency graph.

Install: PyPI package is hivemind-ai; CLI command is hivemind.

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Features

• Planner → Scheduler → Executor → Agents — DAG-based task execution with configurable parallelism
• 120+ tools — Research, coding, data science, documents, experiments, memory, filesystem
• Memory & knowledge graph — Episodic, semantic, research, artifact memory; entity/relationship extraction
• Provider routing — OpenAI, Anthropic, Azure, Gemini (model name → provider)
• EventLog, replay, telemetry — Structured events for debugging and metrics
• CLI & TUI — hivemind run, hivemind research, hivemind analyze, hivemind tui with dashboard

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Architecture

    Planner
       ↓
    Scheduler
       ↓
    Executor
       ↓
    Agents  →  Tools  →  Memory  →  Knowledge Graph

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Quickstart

Install (Python 3.12+):

pip install hivemind-ai
# or: uv add hivemind-ai

Run a task:

hivemind run "Summarize swarm intelligence in one paragraph."

Use in code:

from hivemind.swarm.swarm import Swarm

swarm = Swarm(worker_count=4, worker_model="gpt-4o-mini", planner_model="gpt-4o-mini", use_tools=True)
results = swarm.run("Analyze diffusion models and write a one-page summary.")

Set API keys via environment or ~/.config/hivemind/config.toml (see Configuration below).

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CLI usage

Command	Description
hivemind run "task"	Run swarm with the given task
hivemind tui	Launch terminal UI (prompt + output + dashboard)
hivemind research papers/	Literature review on a directory of papers
hivemind analyze repo/	Analyze repository architecture
hivemind memory [--limit N]	List memory entries

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TUI usage

hivemind tui

• Prompt — Type a task and press Enter or r to run.
• Output — Response and step status (e.g. “Planning…”, “Step 2 of 5…”).
• Dashboard (d) — Tasks, swarm graph, memory, logs.
• Keys: r Run, d Dashboard, Esc Unfocus, o Output, q Quit.

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Examples

Workflow	Command
Literature review	hivemind research papers/ or uv run python examples/research/literature_review.py [dir]
Repository analysis	hivemind analyze . or uv run python examples/coding/analyze_repository.py [path]
Dataset analysis	uv run python examples/data_science/dataset_analysis.py [path-to.csv]
Document intelligence	uv run python examples/documents/analyze_documents.py [dir]
Parameter sweep	uv run python examples/experiments/parameter_sweep.py --params '{"lr":[0.01,0.1]}'

Outputs go to examples/output/. Run from project root when using script paths.

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Demo GIF

To create a demo GIF showing swarm execution and task progress:

1. Start the TUI: hivemind tui
2. Use a screen recorder (e.g. asciinema, LICEcap, or terminal GIF tools) to record:
   • Typing a task in the prompt (e.g. “Summarize swarm intelligence in one paragraph”)
   • Pressing Enter to run
   • The spinner and step status (Planning…, Executing step 1 of N…)
   • The final response appearing
   • Optionally pressing d to open the Dashboard (tasks, swarm graph, memory, logs)
3. Export the recording as a GIF and add it to the README or docs (e.g. ![Demo](docs/demo.gif)).

Example asciinema:

asciinema rec demo.cast
# run: hivemind tui, then run a task and optionally open dashboard
# exit TUI (q), then Ctrl-D to stop rec
# convert: asciinema-agg demo.cast demo.gif  # or use asciinema’s playback + another tool for GIF

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Configuration

Config order: env > project .hivemind/config.toml > user ~/.config/hivemind/config.toml > defaults.

Minimal TOML (keys in env):

[default]
worker_model = "gpt-4o-mini"
planner_model = "gpt-4o-mini"
events_dir = ".hivemind/events"
data_dir = ".hivemind"

Env overrides: HIVEMIND_WORKER_MODEL, HIVEMIND_PLANNER_MODEL, HIVEMIND_EVENTS_DIR, HIVEMIND_DATA_DIR, plus provider keys (OPENAI_API_KEY, AZURE_OPENAI_*, etc.). See docs/providers.md and docs/development.md.

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Documentation

Doc	Description
Introduction	What Hivemind is, problem it solves, core concepts
Architecture	Planner, Scheduler, Executor, Agents, Tools, Memory, events, telemetry, replay
Swarm runtime	Task lifecycle, flow, code snippets
Tools	Tool architecture, registry, runner, creating tools, categories
Memory	Memory types, store, retrieval, embedding search, knowledge graph
Providers	Provider routing, model spec, Azure
CLI	All CLI commands and parameters
TUI	Layout, panels, keyboard shortcuts
Examples	Example workflows and commands
Development	Project structure, adding tools/providers, setup
Contributing	Setup, testing, code style, PR guidelines
FAQ	Common questions

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Contributing

Contributions are welcome. See CONTRIBUTING.md for setup, testing, and PR guidelines.

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License

Hivemind is licensed under GPL-3.0-or-later. See LICENSE for the full text.