Token Intelligence · Emdash alternative

Six agents. Six full context loads. Or one index, six efficient agents.

Token Intelligence is Tempest's core feature: a local knowledge graph built once, shared across every parallel agent session — up to 86% fewer tokens, up to 92% fewer tool calls. Emdash has no documented equivalent. Both tools are free, open-source, and local-first — Emdash pulls ahead on SSH remote execution, CI monitoring, file editing, issue tracker integration, and scheduling.

Tempest vs Emdash
FeatureTempestEmdash
Shared knowledge graph
Yes — indexed once, shared across all agents
I did not find an equivalent documented
Token efficiency
Up to 86% fewer
I did not find equivalent claims
Fewer tool calls
Up to 92% fewer
I did not find equivalent claims
Git worktree isolation
Per agent session
Yes
Parallel agents
Unlimited
Yes — 25+ agents supported
Windows support
Yes
Yes
macOS support
Yes
Yes
Linux support
Build from source today
Yes
SSH / remote execution
No
Yes — run agents on remote machines via SSH
Built-in browser preview
Yes — live dev server preview
Yes
File editor
No
Yes — with search and recovery
CI monitoring
No
Yes
PR inspection
Stage, commit, push built-in
Yes — PR inspection interface
Issue tracker integration
No
Yes — Linear, Jira, GitHub, Notion, Asana
Recurring agent runs
No
Yes
Prompt library
Yes — built-in + custom
—
License
Apache 2.0
Open source (specific license on GitHub)
Price
Free
Free

Emdash details based on public docs at emdash.ai, reviewed 2026-07-25. If anything is wrong or outdated, open an issue on our GitHub and we will fix it.

When to pick which

Two honest recommendations.

Pick Emdash

Full IDE surface: editor, CI, PRs, integrations.

Pick Emdash if you want the fuller development environment: a file editor, CI monitoring, PR inspection, issue tracker integrations with Linear and Jira, SSH remote execution on a dev box, and scheduled recurring agent runs. It ships more surface area than Tempest in almost every direction.

Pick Tempest

Your API bill is the constraint.

Without Token Intelligence, every agent you run in parallel pays the full file-read cost independently — that cost scales linearly with session count. Token Intelligence indexes your repository once. Every agent draws from that shared graph instead. Up to 86% fewer tokens, up to 92% fewer tool calls.

Token Intelligence

More agents shouldn't mean more tokens per agent. A shared index breaks that relationship.

Supporting 25+ agents is impressive. But if each agent reads your codebase from scratch, the token cost scales with session count. A shared index breaks that relationship.

The one thing Emdash doesn't have

Emdash is genuinely feature-rich. But each agent session still reads your repository independently. Tempest builds one shared knowledge graph and every session draws from it — that's where the 86% token reduction comes from. It compounds as you add parallel agents.

Both local-first, different defaults

Emdash runs locally and adds SSH remote execution as an option. Tempest is local-only by design — no remote path means there's nothing to configure, nothing to secure, nothing to connect. For teams that stay on-machine, that's fewer moving parts.

Nothing leaves your machine

Tempest has no outbound path for your code. The knowledge graph, your sessions, and every agent interaction stay on your local disk. It's not a policy — it's the architecture.

Further reading
Emdash alternative

86% fewer tokens. Every parallel session.

Download Tempest

Apache 2.0 · Runs entirely on your machine