ViBo
Memory for AI agents — never costs more than no memory
ViBo launched on August 18, 2026 with 1 votes, #11,494 of 23,274 launches that month.
What it does
Your AI agent finally remembers. ViBo stores facts between sessions and recalls them by meaning, not keywords. It compresses web search results before the LLM sees them (96.2% fewer tokens), keeps long threads as a compact summary (−72%), and gives agent teams shared memory — one compact context block. Secrets sit in encrypted L1/L2/L3 tiers, API keys never reach the model. One skill. $5/month.
ViBo helps AI agents discover, connect, and execute reusable skills — with memory, orchestration, privacy, and measurable efficiency built in.
ViBo fixes exactly that — with four products: Memory (facts survive between sessions, prompts shrink 50–150×), Verify (answers checked against memory, with sources), Guardian (integrity checks after every update), SkillQA (skills graded A–D). Start with a 2-day free trial. Each product kills one specific failure mode — forgetting, hallucinating, breaking, untrusted skills. Use one or combine all four: they plug into any Python agent via API, CLI, or MCP server (ready for Claude and friends). Bonus: Living Archive cuts archive tokens up to 99%, and Privacy Layer keeps secrets out of the LLM. Graph memory across sessions: save a fact once, find it by meaning in 66 ms. Prompts carry 50–150×…from wwwvibo.com
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AgentmemoryMay 2026 · agent-memory.dev · ▲310Persistent memory for Claude Code, Codex & coding agents


DeltaMemoryFeb 2026 · deltamemory.com · ▲104Most AI agents forget everything between sessions. We built DeltaMemory to fix that. It's a cognitive memory layer that gives agents persistent recall, automatic fact extraction, and temporal reasoning — via a single SDK call. Key numbers: - 89% accuracy on LoCoMo long-term conversation benchmark - 50ms p50 retrieval latency - 97% cost reduction vs raw token re-processing Open source SDKs, works with any LLM stack. Currently in early access. Happy to answer questions about the architecture, benchmark methodology, or how we handle knowledge graphs.
YourMemoryApr 2026 · yourmemoryai.vercel.app · ▲93This is a project that I have been building for a while now, YourMemory is a solution to agentic memory which focuses on pruning of noise rather than hoarding of data. In the current state of agentic memory most of the context is stored in the form of a MD file or is derived through a RAG model where you store each and everything. Both of the solution leads to bloated context which does not optimize the usage of any tokens. In this system we only keep relevant data in our memory and prune all the unnecessary data. The relevance of a data is derived through multiple factors such as recall…

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