Omni
OMNI is an open-source shell hook that stops your coding agent paying twice for terminal output it has already read.
OMNI is worth an hour of setup if your agents re-read the same files and re-run the same suites. The ledger — not the filters — is where the saving lives: a second read comes back as one marker and the bytes are already in context. What makes this credible is that the project publishes its own bad numbers, including that file reads give up only 1.5% on the frozen corpus and that one head-to-head arm ran against it. What makes it narrow is the 1-in-26 touch rate: most commands save nothing, and you'll also pay 21–61 ms per hooked command on a large history. If you want a GUI dashboard or hosted cross-team context, look elsewhere.
Verified 6d ago · liveness 70/100 · cite: rightaichoice.com/tools/omni
- Developers running long autonomous agent sessions in one project directory
- Teams where Cursor and Claude Code hit the same repo and should share context
- Engineers with repeat-heavy workflows: repeated file reads, repeated test runs
- DevOps engineers automating kubectl and docker commands who want distiller coverage
- Anyone who wants a GUI or web dashboard rather than a CLI shell hook
- Teams needing cloud storage, hosted sync or shared collaboration features
- Workloads where each file is read once, leaving the ledger nothing to deduplicate
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Skip OMNI if your files are mostly read once per session and your agents rarely re-run the same suites, since 96.1% of commands come back with zero bytes added and you'd be paying 21–61 ms of hook latency per command for the privilege.
Hook latency grows with your history, not your payload: a 496-byte git status takes about 21 ms on a fresh database and about 61 ms against a 205 MB one, so long-lived projects feel it most.
OMNI is free and open source, so the comparison isn't against paid tiers but against the token spend it aims to cut. The trade is setup and per-command latency against saved context: on a repeat-heavy repo a second file read costs 214 bytes instead of 7.6 KB, but on a one-shot workload you get nothing back for the 21–61 ms hook. If your main cost is inference you were going to pay anyway, this is cheaper than a hosted context-management service only by the amount it actually removes from your
In short
Omni — OMNI is an open-source shell hook that stops your coding agent paying twice for terminal output it has already read. Best for Developers running long autonomous agent sessions in one project directory, Teams where Cursor and Claude Code hit the same repo and should share context, Engineers with repeat-heavy workflows: repeated file reads, repeated test runs. Free to use.
What's new in Omni
Checked 6 days agoAcross the latest 3 updates: 3 feature updates.
OMNI v0.7.10: We Gave Back Compression To Stop Being Wrong
v0.7.10 compresses less on purpose: thirteen classes of false claim closed, one of them a leak, plus a second rebuildable benchmark corpus.
OMNI v0.7.9: The Lines You Asked For Stay On Screen
Tail -5 no longer returns a marker with no lines, line budget is read per command, re-runs report unchanged values, and the benchmark was corrected downward.
Six views and a synonym: v0.7.8
Two of seven advertised omni stats views were the same; v0.7.8 adds a report showing where tokens went from data OMNI already recorded.
What people actually say about Omni — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
75 mentions across 6 sources (Reddit, Hacker News, Product Hunt, App Store, Stack Overflow, Lemmy) · researched Jul 3, 2026.
Average across the 6 sources that answered — each source counts once, not each post.
- +No user-contributed positive feedback was found in the data.
- +Claims include 90% token reduction and sub-100ms latency.
- +Open-source MIT license appeals to developers.
- +Integrates with 15+ AI agent frameworks.
- +Designed to reduce hallucinations via context management.
- −No user-contributed negative feedback was found in the data.
- −The data shows no real-world validation of claims.
- −Potential for debugging issues during pipeline setup.
- −Dependency on specific command-line environments.
- −Lack of community support for troubleshooting.
- • Potential compute resources for running Rust binary
- • Time investment for configuration and tuning
Viability Score
How well maintained and how widely used is Omni? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- Distils build, test, infra, git and docker command output before your agent reads it
- Ledger deduplication returns a repeat file read as one handle marker instead of the full bytes
- Local SQLite archive keyed by SHA-256 with omni retrieve printing the original byte-for-byte
- Never compresses commands that exit non-zero — failing output passes through whole
- Passes JSON, YAML, NDJSON and CSV through byte-for-byte
- A distiller that parsed no signal hands back raw output rather than guessing
- Project-path-keyed store shares handles across sessions and across different agents
- Context compaction awareness: OMNI forgets what the agent can no longer hold
- omni recall pulls a stored fix back before the agent repeats a mistake
- omni goal restates the objective on every prompt to stop drift
- omni doctor prints the supported support tier for each installed host
- omni stats reports claimed versus returned bytes, with a --view fold (v0.7.10)
- Signal classifiers scored against a labelled corpus (v0.7.10)
- MCP server trimmed to 9 tools, saving 4,940 bytes per request prefix (v0.7.6)
- Installable via Homebrew, curl or PowerShell, plus a Claude Code plugin
About Omni
OMNI sits between your terminal and your AI coding agent and shrinks command output before the model reads it. It does this in two ways. Filters strip lines that are noise — progress bars, passing test lines, repeated status rows. The ledger is the part the project claims is unusual: when your agent has already been shown a file or a command's output, a repeat read comes back as a single marker carrying a handle, like [OMNI: 178 lines already shown, omni retrieve 0000000000000000], because those bytes are already sitting in the agent's context. Anything cut is archived to a local SQLite store keyed by SHA-256 and printed back byte-for-byte with omni retrieve. The store is keyed by project path rather than by agent, so a second agent in the same directory — say Cursor after Claude Code — resolves a handle from an earlier session. The vendor publishes measured numbers rather than a headline claim: 69.6% off across all 9,478 replayed commands, 10.7% off build and test output specifically, 97.2% off a second file read, and 4,940 bytes lighter per request after trimming the MCP tool list. Just as importantly it publishes the losses: only 1 in 26 commands is touched at all, the other 96.1% come back with zero bytes added, and file reads give up just 1.5% on the frozen corpus. Install is Homebrew, curl or PowerShell plus omni init, and there is no API key and no proxy — every stage runs locally. It's built for developers and DevOps engineers running long autonomous agent sessions, especially on Cursor, Claude Code, Codex CLI, Gemini CLI, Aider, Windsurf, Cline and Roo.
Behind the Verdict
The interesting thing about OMNI is what it refuses to do. It will not compress a command that exits non-zero. It will not touch JSON, YAML, NDJSON or CSV — those go through byte-for-byte, because a corrupted payload costs more than a missed compression. A distiller that parses no signal hands back the raw output rather than writing a green "no errors" line nothing supports. Those constraints are written down as outranking compression, in that order, every time they conflict, and they're the reason you can leave it on for everything. The mechanism worth understanding is the split between filters and the ledger. Filters remove a line because a pattern calls it noise — that's the half every tool in this category can do. The ledger removes a line because your agent is already holding it. On the vendored corpus, 68.4% of raw bytes were lines the agent had already been shown, and 64.7% still were after every distiller ran. The second read of a file costs 214 bytes instead of 7.6 KB. That's a property of the mechanism, so it reproduces on any machine; the corpus-wide 69.6% is a property of the corpus, which OMNI says plainly. The costs are real and disclosed. 1 in 26 commands is touched at all; the other 96.1% are handed back with zero bytes added, so for a workload where every file is read once you are paying latency for nothing. That latency runs 21 ms against a fresh database and 61 ms against a 205 MB one for a 496-byte git status — the cost grows with your history, not with the payload. Budget for it on a large store. Beyond distillation there's a memory layer: omni recall pulls a stored fix back before the agent repeats a mistake, omni goal restates the objective on every prompt to stop drift, omni doctor prints which support tier each installed host actually gets, and omni stats reports what OMNI did on your own history in counted bytes. Support differs by host, which is worth checking before you plan around it. The honest comparison set is other local token-saving shell wrappers, not GUI context tools. OMNI's distinguishing bet is the handle-and-retrieve model plus a project-keyed store that crosses both sessions and agents. The counterweight is that a handle is only valid while the agent can still hold the original lines: when the context window compacts, OMNI deliberately forgets what it had shown, and it cannot stop a compaction. Handles older than the 30-day rolling window won't resolve either, and inputs above the 64 KB archive cap aren't archived at all — the marker says so, with the size. That's the shape of the trade: big savings on repeat-heavy repos, nothing on one-shot workloads, and a hard expiry on the recall you build up.
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Real-world workflow fit
Concrete scenarios for the personas Omni actually fits — and what changes day-one when you adopt it.
You install via brew, run omni init, and work normally. Your agent re-reads src/pipeline/scorer.rs for the fourth time this session; that read comes back as one marker instead of 7.6 KB, and omni retrieve prints the file back when a later turn needs it.
Outcome: Repeat reads and repeated cargo test runs stop costing full price, and omni stats shows you the claimed-versus-returned bytes on your own history.
kubectl get pods and docker build output flow through the distillers. Unchanged status rows and layer-transfer noise fold out; structured output such as a JSON manifest passes through untouched because the format rule outranks compression.
Outcome: Infra loops consume less context per turn without the risk of a mangled payload being fed to the agent.
Claude Code produces output in a session; later Cursor works in the same project directory and resolves a handle the earlier session wrote, because the SQLite store is keyed by project path rather than by agent.
Outcome: The second agent gets a marker reading from an earlier session rather than re-reading bytes it never had, and the work carries across agents without cloud sync.
Use Cases
- Cut token spend on long Cursor agent sessions where the same files and suites are re-read every loop
- Keep Claude Code focused on failures by dropping the hundreds of passing test lines around one FAILED
- Share filtered context across agents — a Cursor session resolving a handle an earlier Claude Code session wrote
- Watch kubectl and docker output without paying for unchanged status rows
- Run autonomous loops on OMNI_LOOP_BUDGET and OMNI_LOOP_GOAL for iterative coding tasks
- Measure what OMNI actually did on your own command history with omni stats before trusting any benchmark
- Carry a fix forward between sessions with omni recall so the agent doesn't rediscover it
Limitations
- OMNI is a local, open-source shell hook.
- You install it via Homebrew, curl or PowerShell and run omni init; it runs without an API key or proxy and stores everything in a local SQLite file in your home directory.
- Reported savings vary a lot by command type and were revised downward in v0.7.9: the homepage cites 10.7% off build and test output and 69.6% across all 9,478 replayed commands, while the docs cite 97.2% off a second file read and 92.9% smaller for cargo test output.
- It never compresses non-zero exits, passes structured formats through byte-for-byte, and 1 in 26 commands is touched at all — the other 96.1% come back with zero bytes added.
- Per-hooked-command latency runs 21–61 ms and grows with your history.
- The archive is a rolling 30-day window with a 64 KB per-input cap, and a handle older than that will not resolve.
- Support tiers differ by host.
- The project is community-supported with no SLA.
as of 2026-10-02
Verification history
We have re-verified Omni 7 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 7 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Omni tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Open Source
$0/mo
Ideal for
Developers and DevOps engineers running long autonomous agent sessions in repeat-heavy repos who are willing to install a shell hook and accept per-command latency
What this tier adds
Starting tier — the whole product at no cost: distillation pipeline, ledger deduplication, local SQLite archive with omni retrieve, memory features, host tiers and the MCP server
Where the pricing makes sense
The company stage and team size where Omni's pricing actually pencils out — and where peers do it cheaper.
OMNI is free and open source, so the comparison isn't against paid tiers but against the token spend it aims to cut. The trade is setup and per-command latency against saved context: on a repeat-heavy repo a second file read costs 214 bytes instead of 7.6 KB, but on a one-shot workload you get nothing back for the 21–61 ms hook. If your main cost is inference you were going to pay anyway, this is cheaper than a hosted context-management service only by the amount it actually removes from your
Setup time & first value
How long it actually takes to get something useful out of Omni — broken out by persona, not the marketing-page minute.
Install takes about five minutes per the docs: brew install fajarhide/tap/omni (or curl / PowerShell) then omni init. Inside Claude Code it's two plugin commands. Expect longer on a large existing project, because hook latency scales with your store history, and run omni doctor once to see which support tier each installed host gets. First value shows up as soon as your agent re-reads a file it
Switching to or from Omni
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From your agent's default shell output: install the hook and run omni init, then keep using your terminal normally — there is no proxy and no command prefix.
- →From a prompt-tuning or filtering-only tool: add OMNI alongside it, since the ledger covers repeat reads those filters can't address, and leave it on for everything given the zero-byte passthrough on the 96.1% untouched
- →From another agent host: the project-path-keyed store means handles written under Claude Code resolve for Codex CLI or Cursor working in the same directory.
- ↗To a hosted context-management service: export nothing — OMNI's archive is a local SQLite file, and handles expire after the 30-day rolling window anyway.
- ↗To a GUI token dashboard: expect to lose shell-level distillation and handle retrieval, which a dashboard over agent traffic doesn't reproduce.
Integrations
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “Omni”, and we withheld 6: 6 could not be judged, because “Omni” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Omni.
Official links
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Common stack mates teams adopt alongside Omni, with the specific reason each pairing earns its keep.
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Featured Head-to-Head Comparisons
Omni vs Spider Cloud
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Omni vs Temporal Ai
Choose Omni if you're a developer running autonomous AI agents on the CLI and need to slash token costs by up to 90% with minimal overhead. Choose Temporal if you're building mission-critical workflows with AI agents that must survive failures, require human-in-the-loop, or need durable orchestration across microservices. They serve different layers: Omni optimizes agent context; Temporal ensures workflow reliability.
Omni vs Presto Voice
Omni and Presto Voice serve entirely different markets, so the choice depends on your domain. If you are a developer building autonomous AI agents and need to slash token costs, Omni is a free, open-source powerhouse. If you run a QSR chain and want to automate drive-thru ordering with proven ROI, Presto Voice is the specialized solution, as demonstrated by its recent Dairy Queen deal. Neither tool competes directly.
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