TrueMemory
Local-first AI memory layer with zero cloud and 55ms recall
TrueMemory earns its keep as a free, local memory layer that actually improves agent recall. It's a no-brainer for solo devs who live in the terminal and want privacy—it's free, offline, and beats Mem0 and Supermemory on accuracy benchmarks. But it's not for teams: no cloud sync, no GUI, no API, and enterprise support is custom-licensed. If you need shared memory across devices, look elsewhere. If you're a privacy-focused coder, it's a solid pick.
Verified 16d ago · liveness 62/100 · cite: rightaichoice.com/tools/truememory
- Solo developers
- Privacy-focused users
- Researchers
- MCP-compatible client users
- Teams needing shared memory
- Non-technical users
- Web or mobile app developers needing an API
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Skip TrueMemory if you need shared memory across devices, a GUI, an API for web or mobile apps, or enterprise support—it's CLI-only, local-only, and open-source only for individuals.
The open-source version is free for individuals, but any deployment in a product requires a paid license, which may have per-deployment fees not listed upfront.
TrueMemory's free terminal version is unbeatable for solo devs—$0/mo with unlimited use. Cloud alternatives like Mem0 and Supermemory charge per query. For enterprises, the licensed deployment tier is custom-priced, which could be more expensive than per-query options at high volume.
In short
TrueMemory — Local-first AI memory layer with zero cloud and 55ms recall. Best for Solo developers, Privacy-focused users, Researchers. Free to use.
What people actually say about TrueMemory — is it worth it?
We scanned public community sources for TrueMemory on Sep 15, 2026 and could not establish that the discussion we found is about this tool rather than something else sharing its name. Only 2 of the posts we fetched could be positively tied to TrueMemory. Rather than publish a sentiment score built on the wrong subject, we publish nothing here and re-run the scan.
Viability Score
How well maintained and how widely used is TrueMemory? 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: September 2026
How we score →Key Features
- Automatic memory capture and recall
- Surprise gate writes only unexpected info
- Salience weighting strengthens used memories
- Consolidation pass replays and retains signal
- Contradiction detection and resolution
- Multi-hop reasoning (96.5% accuracy)
- Temporal reasoning
- Single SQLite file storage
- 100% local, offline execution
- 55ms recall
- 30MB base footprint
- Six-layer cognitive architecture
- MCP integration for Claude Desktop, Claude Code
- One-line pip install
- Public research paper and benchmarks
About TrueMemory
TrueMemory is an open-source, local-first memory layer for AI agents that stops them forgetting between sessions. It sits beside CLI coding tools like Claude Code, Cursor, and Codex CLI, automatically capturing the 7% of context that matters and discarding the noise. Everything runs on your machine in a single SQLite file, so your data never touches the cloud and there's no per-query bill. The terminal version is free for individual developers, while enterprise deployments are closed-source and licensed per deployment. Under the hood, TrueMemory draws on neuroscience. It mimics the brain's four core mechanisms: a surprise gate that writes only what's unexpected, salience weighting that strengthens frequently used memories, a sleep-like consolidation pass that replays the day, and a contradiction resolution layer that merges conflicting beliefs. The result is a six-layer cognitive architecture that delivers 93.0% LoCoMo accuracy and 96.5% multi-hop reasoning, with recall in about 55 milliseconds. Researchers have published the entire system in a public paper (arXiv:2605.04897), including benchmark scripts and per-category evaluation results. TrueMemory installs with a single pip command and automatically configures your agents. It's designed for privacy-conscious developers and researchers who want reproducible, persistent context without ongoing cloud costs. The system runs entirely offline, with a 30MB base footprint, and costs $0 per month for unlimited personal use. It outperforms cloud-based alternatives like Mem0 and Supermemory on accuracy, while keeping your data local. For teams that need shared memory across devices, a GUI, or enterprise support, TrueMemory may be the wrong fit. It's CLI-only, has no API for web or mobile apps, and the open-source version is built for individual developers. But if you live in the terminal and value privacy, it's a compelling choice.
Behind the Verdict
TrueMemory's core value is its local-first, offline memory with a neuroscience-inspired architecture. The four mechanisms—surprise gating, salience weighting, consolidation, contradiction resolution—translate into a six-layer system that achieves 93.0% LoCoMo accuracy and 96.5% multi-hop reasoning, with 55ms recall. The free terminal version is a strong deal: unlimited personal use, no cloud, no per-query bill. The one-line pip install and auto-config for Claude Code, Cursor, Codex CLI, and Gemini CLI make setup painless. The public research paper (arXiv:2605.04897) with benchmarks and scripts adds credibility. But the tool is CLI-only, has no API or GUI, and no cloud sync—so it's not for teams needing shared memory. The licensed deployment tier is closed-source and custom-priced, which could be a blocker for enterprises wanting transparency. For solo devs and researchers, it's a great fit; for larger teams, it's a miss.
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Real-world workflow fit
Concrete scenarios for the personas TrueMemory actually fits — and what changes day-one when you adopt it.
Install TrueMemory with pip, and it auto-configures Claude Code, Cursor, Codex, and Gemini CLI. Your agent remembers your codebase style and past fixes across sessions.
Outcome: You spend less time re-explaining context; the agent recalls solutions from weeks ago, improving productivity.
You need to keep all data local and offline. TrueMemory runs entirely in a SQLite file, with no cloud calls.
Outcome: You get persistent memory with full data control, and you can audit the open-source code and benchmarks.
You want to add memory to your AI product. TrueMemory offers a licensed per-deployment version, closed-source but fully built.
Outcome: You get a memory layer that runs on your customers' machines, with no cloud dependency, but you need to negotiate a license.
Use Cases
- Automatically capture and recall context during multi-turn coding sessions with Claude Code.
- Maintain long-term memory for AI agents that persist across CLI sessions without cloud costs.
- Enhance agent reasoning with multi-hop and temporal memory for complex software development tasks.
- Run fully offline memory for privacy-sensitive AI workflows on local machines.
- Use as a memory layer for ambient AI systems that need to filter noise and retain signal.
- Support legal intelligence by tracking testimonies and flagging contradictions in long cases.
Models Under the Hood
as of 2026-09-09
Limitations
- TrueMemory is a local-first AI memory layer with zero cloud, storing memories in a single SQLite file that does not sync across devices.
- It is designed for developers and integrates with MCP for Claude Desktop and Claude Code, with install via one-line pip.
- As an early-stage project, documentation may be sparse and features evolving.
as of 2026-08-24
Verification history
We have re-verified TrueMemory 6 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-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
- — re-checked, vendor evidence unchanged
- — 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
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 TrueMemory tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free (terminal)
$0/mo
Ideal for
Solo developers and researchers who want unlimited local memory for CLI coding agents without any cost.
What this tier adds
Free entry point with all core features: surprise gating, consolidation, contradiction resolution, and support for Claude Code, Cursor, Codex, Gemini CLI.
Licensed (deployment)
Custom
Ideal for
Product teams wanting to embed memory into their own applications, needing a closed-source, fully built solution.
What this tier adds
Adds closed-source licensing, per-deployment terms, and full product integration support, compared to the free terminal version.
Where the pricing makes sense
The company stage and team size where TrueMemory's pricing actually pencils out — and where peers do it cheaper.
TrueMemory's free terminal version is unbeatable for solo devs—$0/mo with unlimited use. Cloud alternatives like Mem0 and Supermemory charge per query. For enterprises, the licensed deployment tier is custom-priced, which could be more expensive than per-query options at high volume.
Setup time & first value
How long it actually takes to get something useful out of TrueMemory — broken out by persona, not the marketing-page minute.
For individual developers: one-minute setup with a single pip install; auto-configures your CLI agents. For enterprise licensing, expect 30 minutes to scope your deployment with the team.
Integrations
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “TrueMemory”, and we withheld 6: 6 could not be judged, because “TrueMemory” 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 TrueMemory.
Official links
Tools that pair well with TrueMemory
Common stack mates teams adopt alongside TrueMemory, with the specific reason each pairing earns its keep.
Featured Head-to-Head Comparisons
Truememory vs Presto Voice
Choose Presto Voice if you operate a QSR chain and want to automate drive-thru ordering with proven revenue lift and upsell capabilities. Choose TrueMemory if you are a developer seeking a free, local, zero-cloud memory layer for AI coding agents to maintain persistent context across sessions. These tools solve entirely different problems and are not direct competitors.
Truememory vs Spider Cloud
TrueMemory and Spider Cloud solve complementary problems. If your pain point is AI forgetting context between sessions while using local coding agents, TrueMemory’s free, offline, SQLite-based memory is a no-brainer. If you need to inject fresh web data into your AI workflows, Spider Cloud’s high-speed, low-cost scraping API with new Browser AI commands is the clear choice. They are not direct competitors but can be used together.
Truememory vs Temporal Ai
Choose Temporal AI if you need enterprise-grade durability, retries, and visibility for complex, long-running workflows or AI agents. Choose TrueMemory if you want a free, local, privacy-first memory layer for your CLI coding agents with zero cloud dependencies. For most AI agent memory needs, TrueMemory is simpler and cheaper; for orchestration of multi-step processes, Temporal is unmatched.
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Frequently Asked Questions
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