UniMem.

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EXPLORE UNIMEM

The memory loop · remember, measure, governHow UniMem connects persistent agent memory to randomized outcome measurement, review, withdrawal, promotion, and rollback.Developers · quickstart & integrationsInstall locally. Connect Codex, Claude Code, Cursor, Windsurf, Python, or HTTP.Enterprise · deployment & governanceExplore UniMem local and self-hosted deployment, scoped memory, configurable review, and a focused enterprise pilot.The next session should inherit the lesson.Use UniMem for persistent coding-agent context, reviewed project lessons, and outcome measurement across repeated engineering tasks.Shared memory needs shared boundaries.Scope shared agent memory, review conflicting changes, and use opt-in stale-generation checks in UniMem multi-agent workflows.Persistent context. Accountable change.Plan a bounded UniMem pilot for enterprise agents with local deployment, reviewed memory, access boundaries, and verified outcomes.Documentation · setup, interfaces & guaranteesA curated UniMem documentation index for local setup, measurement, promotion, team isolation, safety, and deployment guarantees.The agent memory problem.Why persistence and retrieval are only part of agent memory, and why long-lived agents need a feedback loop for remembered experience.Memory and context do different jobs.Understand context windows, persistent agent memory, retrieval, and the lifecycle controls needed between storage and agent behavior.Evaluate what memory changes.A practical guide to evaluating agent memory with stable task IDs, eligible-memory holdouts, complete outcomes, and integrity checks.Platform · one governed memory systemThe UniMem platform: lessons, bitemporal facts, knowledge graph, conversations, memory blocks and procedures; hybrid multi-hop retrieval; randomized evidence; governance; MCP, HTTP, Python and ROS 2 interfaces.Physical AI · robots & fleetsUniMem for physical AI: planner context and durable outcomes for robots, in-loop working memory, a bounded STL shield on memory-derived actions, collective site memory and living safety cases.Vision · memory for intelligent machinesWhy every agent and robot will need a governed memory, why that memory must prove it helps, and what UniMem is building toward.Benchmarks · evidence & methodologyUniMem conversation memory measured end to end on LoCoMo, LongMemEval and BEAM: retrieval, answer accuracy, serving latency, reproduction commands and honest caveats.Investor overviewUniMem is raising to build memory infrastructure for AI agents and robots. Explore the product, published benchmarks, commercial strategy, and next milestones.About UniMemUniMem’s mission: give long-lived AI agents persistent, reviewable memory connected to evidence from future work.Learn · field notesGuides to agent memory, context, and evidence.Contact · explore a pilotBring one workflow and one real memory problem.
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Your information, handled with care.

This notice describes information handled by the UniMem project team when you visit this website or contact us.

Last updated: October 31, 2026.

What this website handles.

This website provides product information, documentation links, benchmark reports, and a way to contact the UniMem team. It has no customer account, payment, or agent-memory upload feature.

Interactive demonstrations use records included with the website and browser state. They do not connect to your agent, upload your memories, or run experiments on your data. Local or self-hosted UniMem installations operate separately from this website.

Contacting UniMem.

The contact page prepares a message in your browser. Preparing it does not submit the fields to our server. You can review and copy the message or open your email application to send it to Pavan.Mudunuri@unimem.org. Your email provider handles the message when you send it.

Information you email us is used to respond to your inquiry and discuss the work you requested. Share only information you are authorized to disclose. Do not include passwords, API keys, customer records, or sensitive agent traces.

For questions about information you have sent, or to request its correction or deletion, email Pavan.Mudunuri@unimem.org. Include enough information to identify the correspondence; do not send identity documents unless we specifically arrange a secure verification process.

Hosting and browser storage.

Vercel hosts the website and may process connection information such as IP address, requested URL, browser information, and request timing to serve and secure it. Vercel handles its infrastructure records under its own privacy terms.

The website does not set advertising cookies or include advertising or cross-site profiling tools. Its interactive controls keep their state in browser memory. Website analytics and performance telemetry are disabled in the current release.

Links to GitHub, product documentation, and other websites take you to independently operated services with their own privacy policies.

Questions and updates.

Contact the UniMem project team at Pavan.Mudunuri@unimem.org with website privacy questions. This notice will be updated when the website’s data handling changes. The date above identifies the current notice.

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