Approvals

Headline: Nara should not have to rebuild for agent workflow memory. Subhead: memory infrastructure for real agents. Persistent memory. Grounded docs. Three calls. Works with any LLM. Zero rearchitecting. CTA: Book a call. Claims: retainedb-three-calls, retainedb-sub40-p95, retainedb-any-llm, retainedb-overall-accuracy-79, retainedb-grounded-docs-zero-hallucination, retainedb-canonical-mcp-surface, retainedb-canonical-memory-api, retainedb-zero-rearchitecting, retainedb-tree-search, retainedb-persistent-memory, retainedb-grounded-docs, retainedb-memory-model

Headline: Serif Health should not have to rebuild for memory and grounding pain. Subhead: less context rebuilding. Persistent memory. Grounded docs. Three calls. Works with any LLM. Zero rearchitecting. CTA: Book a call. Claims: retainedb-persistent-memory, retainedb-grounded-docs, retainedb-three-calls, retainedb-zero-rearchitecting, retainedb-any-llm

Hi there, Saw the signal around yc: pivo technology inc. The visible pain looks like memory and grounding pain. Pivo Technology Inc looks like a fit for memory and grounding pain. RetainDB gives AI teams persistent memory across sessions and answers from grounded docs, not model guesses. Three calls. Persistent memory. Zero rearchitecting. Main outcome: less context rebuilding. If this is useful, I can send a short proof pack or book a call. Claims: retainedb-persistent-memory, retainedb-grounded-docs, retainedb-three-calls, retainedb-zero-rearchitecting, retainedb-any-llm

Headline: Pivo Technology Inc should not have to rebuild for memory and grounding pain. Subhead: less context rebuilding. Persistent memory. Grounded docs. Three calls. Works with any LLM. Zero rearchitecting. CTA: Book a call. Claims: retainedb-persistent-memory, retainedb-grounded-docs, retainedb-three-calls, retainedb-zero-rearchitecting, retainedb-any-llm

Hi there, Saw the signal around yc: langfuse. The visible pain looks like research and synthesis memory. Langfuse looks like a fit for research and synthesis memory. RetainDB includes Oracle tree search for hierarchical document navigation and research workflows. RetainDB reports 79% overall accuracy on the LongMemEval oracle split. Main outcome: research agents that remember. If this is useful, I can send a short proof pack or book a call. Claims: retainedb-overall-accuracy-79, retainedb-tree-search, retainedb-canonical-mcp-surface, retainedb-memory-model, retainedb-preference-recall-88, retainedb-grounded-docs-zero-hallucination, retainedb-sub40-p95

Headline: Langfuse should not have to rebuild for research and synthesis memory. Subhead: research agents that remember. Persistent memory. Grounded docs. Three calls. Works with any LLM. Zero rearchitecting. CTA: Book a call. Claims: retainedb-overall-accuracy-79, retainedb-tree-search, retainedb-canonical-mcp-surface, retainedb-memory-model, retainedb-preference-recall-88, retainedb-grounded-docs-zero-hallucination, retainedb-sub40-p95

Hi there, Saw the signal around yc: autopallet robotics. The visible pain looks like coding assistant context grounding. AutoPallet Robotics looks like a fit for coding assistant context grounding. RetainDB exposes a canonical MCP surface across context, memory, research, indexing, and code capabilities. RetainDB publishes sub-40ms p95 global retrieval latency. Main outcome: grounded coding agents. If this is useful, I can send a short proof pack or book a call. Claims: retainedb-sub40-p95, retainedb-any-llm, retainedb-canonical-mcp-surface, retainedb-tree-search, retainedb-zero-rearchitecting, retainedb-canonical-memory-api

Headline: AutoPallet Robotics should not have to rebuild for coding assistant context grounding. Subhead: grounded coding agents. Persistent memory. Grounded docs. Three calls. Works with any LLM. Zero rearchitecting. CTA: Book a call. Claims: retainedb-sub40-p95, retainedb-any-llm, retainedb-canonical-mcp-surface, retainedb-tree-search, retainedb-zero-rearchitecting, retainedb-canonical-memory-api

Hi there, Saw the signal around yc: pirouette pharma. The visible pain looks like memory and grounding pain. Pirouette Pharma looks like a fit for memory and grounding pain. RetainDB gives AI teams persistent memory across sessions and answers from grounded docs, not model guesses. Three calls. Persistent memory. Zero rearchitecting. Main outcome: less context rebuilding. If this is useful, I can send a short proof pack or book a call. Claims: retainedb-persistent-memory, retainedb-grounded-docs, retainedb-three-calls, retainedb-zero-rearchitecting, retainedb-any-llm

Headline: Pirouette Pharma should not have to rebuild for memory and grounding pain. Subhead: less context rebuilding. Persistent memory. Grounded docs. Three calls. Works with any LLM. Zero rearchitecting. CTA: Book a call. Claims: retainedb-persistent-memory, retainedb-grounded-docs, retainedb-three-calls, retainedb-zero-rearchitecting, retainedb-any-llm

# AI memory pain and grounded docs for builders ## The problem AI memory pain and grounded docs is visible when AI products have to rebuild context, lose user state, or guess from stale docs. ## What changes with RetainDB RetainDB gives teams persistent memory, grounded docs, and a cleaner path to production behavior without a rewrite. ## Proof RetainDB gives AI products persistent recall across sessions and grounds answers in actual docs instead of model guesses. RetainDB answers from your docs and stored memory, not from stale model guesses. ## Why teams switch Less prompt glue. Better continuity. Cleaner proof path. ## CTA Book a call or read the docs. Claims: retainedb-persistent-memory, retainedb-grounded-docs, retainedb-any-llm, retainedb-zero-rearchitecting, retainedb-preference-recall-88, retainedb-grounded-docs-zero-hallucination

# Coding assistant context grounding for builders ## The problem Coding assistant context grounding is visible when AI products have to rebuild context, lose user state, or guess from stale docs. ## What changes with RetainDB RetainDB gives teams persistent memory, grounded docs, and a cleaner path to production behavior without a rewrite. ## Proof RetainDB gives AI products persistent recall across sessions and grounds answers in actual docs instead of model guesses. RetainDB answers from your docs and stored memory, not from stale model guesses. ## Why teams switch Less prompt glue. Better continuity. Cleaner proof path. ## CTA Book a call or read the docs. Claims: retainedb-persistent-memory, retainedb-grounded-docs, retainedb-any-llm, retainedb-zero-rearchitecting, retainedb-preference-recall-88, retainedb-grounded-docs-zero-hallucination

# Research and synthesis memory for builders ## The problem Research and synthesis memory is visible when AI products have to rebuild context, lose user state, or guess from stale docs. ## What changes with RetainDB RetainDB gives teams persistent memory, grounded docs, and a cleaner path to production behavior without a rewrite. ## Proof RetainDB gives AI products persistent recall across sessions and grounds answers in actual docs instead of model guesses. RetainDB answers from your docs and stored memory, not from stale model guesses. ## Why teams switch Less prompt glue. Better continuity. Cleaner proof path. ## CTA Book a call or read the docs. Claims: retainedb-persistent-memory, retainedb-grounded-docs, retainedb-any-llm, retainedb-zero-rearchitecting, retainedb-preference-recall-88, retainedb-grounded-docs-zero-hallucination

# User preference memory for builders ## The problem User preference memory is visible when AI products have to rebuild context, lose user state, or guess from stale docs. ## What changes with RetainDB RetainDB gives teams persistent memory, grounded docs, and a cleaner path to production behavior without a rewrite. ## Proof RetainDB gives AI products persistent recall across sessions and grounds answers in actual docs instead of model guesses. RetainDB answers from your docs and stored memory, not from stale model guesses. ## Why teams switch Less prompt glue. Better continuity. Cleaner proof path. ## CTA Book a call or read the docs. Claims: retainedb-persistent-memory, retainedb-grounded-docs, retainedb-any-llm, retainedb-zero-rearchitecting, retainedb-preference-recall-88, retainedb-grounded-docs-zero-hallucination

# AI memory pain and grounded docs for builders ## The problem AI memory pain and grounded docs is visible when AI products have to rebuild context, lose user state, or guess from stale docs. ## What changes with RetainDB RetainDB gives teams persistent memory, grounded docs, and a cleaner path to production behavior without a rewrite. ## Proof RetainDB gives AI products persistent recall across sessions and grounds answers in actual docs instead of model guesses. RetainDB answers from your docs and stored memory, not from stale model guesses. ## Why teams switch Less prompt glue. Better continuity. Cleaner proof path. ## CTA Book a call or read the docs. Claims: retainedb-persistent-memory, retainedb-grounded-docs, retainedb-any-llm, retainedb-zero-rearchitecting, retainedb-preference-recall-88, retainedb-grounded-docs-zero-hallucination

# Coding assistant context grounding for builders ## The problem Coding assistant context grounding is visible when AI products have to rebuild context, lose user state, or guess from stale docs. ## What changes with RetainDB RetainDB gives teams persistent memory, grounded docs, and a cleaner path to production behavior without a rewrite. ## Proof RetainDB gives AI products persistent recall across sessions and grounds answers in actual docs instead of model guesses. RetainDB answers from your docs and stored memory, not from stale model guesses. ## Why teams switch Less prompt glue. Better continuity. Cleaner proof path. ## CTA Book a call or read the docs. Claims: retainedb-persistent-memory, retainedb-grounded-docs, retainedb-any-llm, retainedb-zero-rearchitecting, retainedb-preference-recall-88, retainedb-grounded-docs-zero-hallucination

# Research and synthesis memory for builders ## The problem Research and synthesis memory is visible when AI products have to rebuild context, lose user state, or guess from stale docs. ## What changes with RetainDB RetainDB gives teams persistent memory, grounded docs, and a cleaner path to production behavior without a rewrite. ## Proof RetainDB gives AI products persistent recall across sessions and grounds answers in actual docs instead of model guesses. RetainDB answers from your docs and stored memory, not from stale model guesses. ## Why teams switch Less prompt glue. Better continuity. Cleaner proof path. ## CTA Book a call or read the docs. Claims: retainedb-persistent-memory, retainedb-grounded-docs, retainedb-any-llm, retainedb-zero-rearchitecting, retainedb-preference-recall-88, retainedb-grounded-docs-zero-hallucination

# User preference memory for builders ## The problem User preference memory is visible when AI products have to rebuild context, lose user state, or guess from stale docs. ## What changes with RetainDB RetainDB gives teams persistent memory, grounded docs, and a cleaner path to production behavior without a rewrite. ## Proof RetainDB gives AI products persistent recall across sessions and grounds answers in actual docs instead of model guesses. RetainDB answers from your docs and stored memory, not from stale model guesses. ## Why teams switch Less prompt glue. Better continuity. Cleaner proof path. ## CTA Book a call or read the docs. Claims: retainedb-persistent-memory, retainedb-grounded-docs, retainedb-any-llm, retainedb-zero-rearchitecting, retainedb-preference-recall-88, retainedb-grounded-docs-zero-hallucination

Your users remember. Your AI should too. RetainDB gives AI teams persistent memory and grounded docs without a rewrite. RetainDB gives AI products persistent recall across sessions and grounds answers in actual docs instead of model guesses. RetainDB answers from your docs and stored memory, not from stale model guesses. Read the docs or book a call. Claims: retainedb-persistent-memory, retainedb-grounded-docs, retainedb-three-calls, retainedb-any-llm, retainedb-zero-rearchitecting, retainedb-preference-recall-88

Numbers you can hold us to. 1. Your AI forgets everything. 2. RetainDB fixes that with persistent memory and grounded docs. 3. RetainDB gives AI products persistent recall across sessions and grounds answers in actual docs instead of model guesses. RetainDB answers from your docs and stored memory, not from stale model guesses. 4. Three calls. Works with any LLM. Zero rearchitecting. Claims: retainedb-persistent-memory, retainedb-grounded-docs, retainedb-three-calls, retainedb-any-llm, retainedb-zero-rearchitecting, retainedb-preference-recall-88

Most AI teams do not need more prompt glue. They need research agents that remember. The visible pain is research and synthesis memory. RetainDB is built for that: persistent memory, grounded docs, and no platform rewrite. RetainDB gives AI products persistent recall across sessions and grounds answers in actual docs instead of model guesses. RetainDB answers from your docs and stored memory, not from stale model guesses. If you are shipping AI now, this is worth a close look. Claims: retainedb-persistent-memory, retainedb-grounded-docs, retainedb-three-calls, retainedb-any-llm, retainedb-zero-rearchitecting, retainedb-preference-recall-88

Short version: the pain is research and synthesis memory. RetainDB gives teams persistent memory across sessions and answers from grounded docs. RetainDB gives AI products persistent recall across sessions and grounds answers in actual docs instead of model guesses. RetainDB answers from your docs and stored memory, not from stale model guesses. Happy to share the proof pack if useful. Claims: retainedb-persistent-memory, retainedb-grounded-docs, retainedb-three-calls, retainedb-any-llm, retainedb-zero-rearchitecting, retainedb-preference-recall-88

Your users remember. Your AI should too. RetainDB gives AI teams persistent memory and grounded docs without a rewrite. RetainDB gives AI products persistent recall across sessions and grounds answers in actual docs instead of model guesses. RetainDB answers from your docs and stored memory, not from stale model guesses. Read the docs or book a call. Claims: retainedb-persistent-memory, retainedb-grounded-docs, retainedb-three-calls, retainedb-any-llm, retainedb-zero-rearchitecting, retainedb-preference-recall-88 Focus: persistent memory + grounded docs. Angle 2: Research and synthesis memory.

Numbers you can hold us to. 1. Your AI forgets everything. 2. RetainDB fixes that with persistent memory and grounded docs. 3. RetainDB gives AI products persistent recall across sessions and grounds answers in actual docs instead of model guesses. RetainDB answers from your docs and stored memory, not from stale model guesses. 4. Three calls. Works with any LLM. Zero rearchitecting. Claims: retainedb-persistent-memory, retainedb-grounded-docs, retainedb-three-calls, retainedb-any-llm, retainedb-zero-rearchitecting, retainedb-preference-recall-88 Focus: persistent memory + grounded docs. Angle 2: Research and synthesis memory.

Your users remember. Your AI should too. RetainDB gives AI teams persistent memory and grounded docs without a rewrite. RetainDB gives AI products persistent recall across sessions and grounds answers in actual docs instead of model guesses. RetainDB answers from your docs and stored memory, not from stale model guesses. Read the docs or book a call. Claims: retainedb-persistent-memory, retainedb-grounded-docs, retainedb-three-calls, retainedb-any-llm, retainedb-zero-rearchitecting, retainedb-preference-recall-88

Numbers you can hold us to. 1. Your AI forgets everything. 2. RetainDB fixes that with persistent memory and grounded docs. 3. RetainDB gives AI products persistent recall across sessions and grounds answers in actual docs instead of model guesses. RetainDB answers from your docs and stored memory, not from stale model guesses. 4. Three calls. Works with any LLM. Zero rearchitecting. Claims: retainedb-persistent-memory, retainedb-grounded-docs, retainedb-three-calls, retainedb-any-llm, retainedb-zero-rearchitecting, retainedb-preference-recall-88

Most AI teams do not need more prompt glue. They need research agents that remember. The visible pain is research and synthesis memory. RetainDB is built for that: persistent memory, grounded docs, and no platform rewrite. RetainDB gives AI products persistent recall across sessions and grounds answers in actual docs instead of model guesses. RetainDB answers from your docs and stored memory, not from stale model guesses. If you are shipping AI now, this is worth a close look. Claims: retainedb-persistent-memory, retainedb-grounded-docs, retainedb-three-calls, retainedb-any-llm, retainedb-zero-rearchitecting, retainedb-preference-recall-88

Short version: the pain is research and synthesis memory. RetainDB gives teams persistent memory across sessions and answers from grounded docs. RetainDB gives AI products persistent recall across sessions and grounds answers in actual docs instead of model guesses. RetainDB answers from your docs and stored memory, not from stale model guesses. Happy to share the proof pack if useful. Claims: retainedb-persistent-memory, retainedb-grounded-docs, retainedb-three-calls, retainedb-any-llm, retainedb-zero-rearchitecting, retainedb-preference-recall-88

Your users remember. Your AI should too. RetainDB gives AI teams persistent memory and grounded docs without a rewrite. RetainDB gives AI products persistent recall across sessions and grounds answers in actual docs instead of model guesses. RetainDB answers from your docs and stored memory, not from stale model guesses. Read the docs or book a call. Claims: retainedb-persistent-memory, retainedb-grounded-docs, retainedb-three-calls, retainedb-any-llm, retainedb-zero-rearchitecting, retainedb-preference-recall-88 Focus: building a product and research lab. Angle 2: Research and synthesis memory.

Numbers you can hold us to. 1. Your AI forgets everything. 2. RetainDB fixes that with persistent memory and grounded docs. 3. RetainDB gives AI products persistent recall across sessions and grounds answers in actual docs instead of model guesses. RetainDB answers from your docs and stored memory, not from stale model guesses. 4. Three calls. Works with any LLM. Zero rearchitecting. Claims: retainedb-persistent-memory, retainedb-grounded-docs, retainedb-three-calls, retainedb-any-llm, retainedb-zero-rearchitecting, retainedb-preference-recall-88 Focus: building a product and research lab. Angle 2: Research and synthesis memory.

The pain is simple: coding assistant context grounding. RetainDB gives teams a path to grounded coding agents without a rewrite. Happy to share the proof pack or book a call. Claims: retainedb-sub40-p95, retainedb-any-llm, retainedb-three-calls, retainedb-overall-accuracy-79, retainedb-canonical-mcp-surface, retainedb-tree-search, retainedb-zero-rearchitecting, retainedb-canonical-memory-api, retainedb-memory-model

Headline: Reddit should not have to rebuild for coding assistant context grounding. Subhead: grounded coding agents. Persistent memory. Grounded docs. Three calls. Works with any LLM. Zero rearchitecting. CTA: Book a call. Claims: retainedb-sub40-p95, retainedb-any-llm, retainedb-three-calls, retainedb-overall-accuracy-79, retainedb-canonical-mcp-surface, retainedb-tree-search, retainedb-zero-rearchitecting, retainedb-canonical-memory-api, retainedb-memory-model

The pain is simple: coding assistant context grounding. RetainDB gives teams a path to grounded coding agents without a rewrite. Happy to share the proof pack or book a call. Claims: retainedb-sub40-p95, retainedb-any-llm, retainedb-overall-accuracy-79, retainedb-canonical-mcp-surface, retainedb-tree-search, retainedb-zero-rearchitecting, retainedb-memory-model, retainedb-canonical-memory-api

Headline: Reddit should not have to rebuild for coding assistant context grounding. Subhead: grounded coding agents. Persistent memory. Grounded docs. Three calls. Works with any LLM. Zero rearchitecting. CTA: Book a call. Claims: retainedb-sub40-p95, retainedb-any-llm, retainedb-overall-accuracy-79, retainedb-canonical-mcp-surface, retainedb-tree-search, retainedb-zero-rearchitecting, retainedb-memory-model, retainedb-canonical-memory-api

The pain is simple: user preference memory. RetainDB gives teams a path to better personalization without a rewrite. Happy to share the proof pack or book a call. Claims: retainedb-preference-recall-88, retainedb-sub40-p95, retainedb-any-llm, retainedb-overall-accuracy-79, retainedb-grounded-docs-zero-hallucination, retainedb-persistent-memory, retainedb-memory-model, retainedb-canonical-mcp-surface, retainedb-tree-search, retainedb-zero-rearchitecting, retainedb-grounded-docs

Headline: Reddit should not have to rebuild for user preference memory. Subhead: better personalization. Persistent memory. Grounded docs. Three calls. Works with any LLM. Zero rearchitecting. CTA: Book a call. Claims: retainedb-preference-recall-88, retainedb-sub40-p95, retainedb-any-llm, retainedb-overall-accuracy-79, retainedb-grounded-docs-zero-hallucination, retainedb-persistent-memory, retainedb-memory-model, retainedb-canonical-mcp-surface, retainedb-tree-search, retainedb-zero-rearchitecting, retainedb-grounded-docs

The pain is simple: coding assistant context grounding. RetainDB gives teams a path to grounded coding agents without a rewrite. Happy to share the proof pack or book a call. Claims: retainedb-sub40-p95, retainedb-any-llm, retainedb-overall-accuracy-79, retainedb-canonical-mcp-surface, retainedb-tree-search, retainedb-zero-rearchitecting, retainedb-memory-model, retainedb-persistent-memory, retainedb-three-calls, retainedb-canonical-memory-api

Headline: Reddit should not have to rebuild for coding assistant context grounding. Subhead: grounded coding agents. Persistent memory. Grounded docs. Three calls. Works with any LLM. Zero rearchitecting. CTA: Book a call. Claims: retainedb-sub40-p95, retainedb-any-llm, retainedb-overall-accuracy-79, retainedb-canonical-mcp-surface, retainedb-tree-search, retainedb-zero-rearchitecting, retainedb-memory-model, retainedb-persistent-memory, retainedb-three-calls, retainedb-canonical-memory-api

Olajide Alameen, Saw the signal around prospect: olajide alameen at test company. The visible pain looks like coding assistant context grounding. Test Company looks like a fit for coding assistant context grounding. RetainDB exposes a canonical MCP surface across context, memory, research, indexing, and code capabilities. RetainDB publishes sub-40ms p95 global retrieval latency. Main outcome: grounded coding agents. If this is useful, I can send a short proof pack or book a call. Claims: retainedb-sub40-p95, retainedb-any-llm, retainedb-canonical-mcp-surface, retainedb-tree-search, retainedb-zero-rearchitecting, retainedb-canonical-memory-api

Headline: Test Company should not have to rebuild for coding assistant context grounding. Subhead: grounded coding agents. Persistent memory. Grounded docs. Three calls. Works with any LLM. Zero rearchitecting. CTA: Book a call. Claims: retainedb-sub40-p95, retainedb-any-llm, retainedb-canonical-mcp-surface, retainedb-tree-search, retainedb-zero-rearchitecting, retainedb-canonical-memory-api

Olajide Alameen, Saw the signal around prospect: olajide alameen at bad theory labs. The visible pain looks like coding assistant context grounding. Bad Theory Labs looks like a fit for coding assistant context grounding. RetainDB exposes a canonical MCP surface across context, memory, research, indexing, and code capabilities. RetainDB publishes sub-40ms p95 global retrieval latency. Main outcome: grounded coding agents. If this is useful, I can send a short proof pack or book a call. Claims: retainedb-sub40-p95, retainedb-any-llm, retainedb-canonical-mcp-surface, retainedb-tree-search, retainedb-zero-rearchitecting, retainedb-canonical-memory-api

Headline: Bad Theory Labs should not have to rebuild for coding assistant context grounding. Subhead: grounded coding agents. Persistent memory. Grounded docs. Three calls. Works with any LLM. Zero rearchitecting. CTA: Book a call. Claims: retainedb-sub40-p95, retainedb-any-llm, retainedb-canonical-mcp-surface, retainedb-tree-search, retainedb-zero-rearchitecting, retainedb-canonical-memory-api

Olajide Alameen, Saw the signal around prospect: olajide alameen at bad theory labs. The visible pain looks like coding assistant context grounding. Bad Theory Labs looks like a fit for coding assistant context grounding. RetainDB exposes a canonical MCP surface across context, memory, research, indexing, and code capabilities. RetainDB publishes sub-40ms p95 global retrieval latency. Main outcome: grounded coding agents. If this is useful, I can send a short proof pack or book a call. Claims: retainedb-sub40-p95, retainedb-any-llm, retainedb-canonical-mcp-surface, retainedb-tree-search, retainedb-zero-rearchitecting, retainedb-canonical-memory-api

Headline: Bad Theory Labs should not have to rebuild for coding assistant context grounding. Subhead: grounded coding agents. Persistent memory. Grounded docs. Three calls. Works with any LLM. Zero rearchitecting. CTA: Book a call. Claims: retainedb-sub40-p95, retainedb-any-llm, retainedb-canonical-mcp-surface, retainedb-tree-search, retainedb-zero-rearchitecting, retainedb-canonical-memory-api

Alex, Saw the signal around prospect: alex at whisper. The visible pain looks like memory and grounding pain. Whisper looks like a fit for memory and grounding pain. RetainDB gives AI teams persistent memory across sessions and answers from grounded docs, not model guesses. Three calls. Persistent memory. Zero rearchitecting. Main outcome: less context rebuilding. If this is useful, I can send a short proof pack or book a call. Claims: retainedb-persistent-memory, retainedb-grounded-docs, retainedb-three-calls, retainedb-zero-rearchitecting, retainedb-any-llm

Headline: Whisper should not have to rebuild for memory and grounding pain. Subhead: less context rebuilding. Persistent memory. Grounded docs. Three calls. Works with any LLM. Zero rearchitecting. CTA: Book a call. Claims: retainedb-persistent-memory, retainedb-grounded-docs, retainedb-three-calls, retainedb-zero-rearchitecting, retainedb-any-llm

Hi there, Saw the signal around yc: nara. The visible pain looks like agent workflow memory. Nara looks like a fit for agent workflow memory. RetainDB works with any LLM and explicitly names OpenAI, Anthropic, and Gemini on the public site. RetainDB plugs into an existing AI stack in three calls: remember, getContext, and runTurn or captureSession. Main outcome: memory infrastructure for real agents. If this is useful, I can send a short proof pack or book a call. Claims: retainedb-three-calls, retainedb-sub40-p95, retainedb-any-llm, retainedb-overall-accuracy-79, retainedb-grounded-docs-zero-hallucination, retainedb-canonical-mcp-surface, retainedb-canonical-memory-api, retainedb-zero-rearchitecting, retainedb-tree-search, retainedb-persistent-memory, retainedb-grounded-docs, retainedb-memory-model

Headline: Nara should not have to rebuild for agent workflow memory. Subhead: memory infrastructure for real agents. Persistent memory. Grounded docs. Three calls. Works with any LLM. Zero rearchitecting. CTA: Book a call. Claims: retainedb-three-calls, retainedb-sub40-p95, retainedb-any-llm, retainedb-overall-accuracy-79, retainedb-grounded-docs-zero-hallucination, retainedb-canonical-mcp-surface, retainedb-canonical-memory-api, retainedb-zero-rearchitecting, retainedb-tree-search, retainedb-persistent-memory, retainedb-grounded-docs, retainedb-memory-model

Hi there, Saw the signal around yc: serif health. The visible pain looks like memory and grounding pain. Serif Health looks like a fit for memory and grounding pain. RetainDB gives AI teams persistent memory across sessions and answers from grounded docs, not model guesses. Three calls. Persistent memory. Zero rearchitecting. Main outcome: less context rebuilding. If this is useful, I can send a short proof pack or book a call. Claims: retainedb-persistent-memory, retainedb-grounded-docs, retainedb-three-calls, retainedb-zero-rearchitecting, retainedb-any-llm

Headline: Serif Health should not have to rebuild for memory and grounding pain. Subhead: less context rebuilding. Persistent memory. Grounded docs. Three calls. Works with any LLM. Zero rearchitecting. CTA: Book a call. Claims: retainedb-persistent-memory, retainedb-grounded-docs, retainedb-three-calls, retainedb-zero-rearchitecting, retainedb-any-llm

Hi there, Saw the signal around yc: pivo technology inc. The visible pain looks like memory and grounding pain. Pivo Technology Inc looks like a fit for memory and grounding pain. RetainDB gives AI teams persistent memory across sessions and answers from grounded docs, not model guesses. Three calls. Persistent memory. Zero rearchitecting. Main outcome: less context rebuilding. If this is useful, I can send a short proof pack or book a call. Claims: retainedb-persistent-memory, retainedb-grounded-docs, retainedb-three-calls, retainedb-zero-rearchitecting, retainedb-any-llm

Headline: Pivo Technology Inc should not have to rebuild for memory and grounding pain. Subhead: less context rebuilding. Persistent memory. Grounded docs. Three calls. Works with any LLM. Zero rearchitecting. CTA: Book a call. Claims: retainedb-persistent-memory, retainedb-grounded-docs, retainedb-three-calls, retainedb-zero-rearchitecting, retainedb-any-llm

Hi there, Saw the signal around yc: langfuse. The visible pain looks like research and synthesis memory. Langfuse looks like a fit for research and synthesis memory. RetainDB includes Oracle tree search for hierarchical document navigation and research workflows. RetainDB reports 79% overall accuracy on the LongMemEval oracle split. Main outcome: research agents that remember. If this is useful, I can send a short proof pack or book a call. Claims: retainedb-overall-accuracy-79, retainedb-tree-search, retainedb-canonical-mcp-surface, retainedb-memory-model, retainedb-preference-recall-88, retainedb-grounded-docs-zero-hallucination, retainedb-sub40-p95

Headline: Langfuse should not have to rebuild for research and synthesis memory. Subhead: research agents that remember. Persistent memory. Grounded docs. Three calls. Works with any LLM. Zero rearchitecting. CTA: Book a call. Claims: retainedb-overall-accuracy-79, retainedb-tree-search, retainedb-canonical-mcp-surface, retainedb-memory-model, retainedb-preference-recall-88, retainedb-grounded-docs-zero-hallucination, retainedb-sub40-p95

Hi there, Saw the signal around yc: autopallet robotics. The visible pain looks like coding assistant context grounding. AutoPallet Robotics looks like a fit for coding assistant context grounding. RetainDB exposes a canonical MCP surface across context, memory, research, indexing, and code capabilities. RetainDB publishes sub-40ms p95 global retrieval latency. Main outcome: grounded coding agents. If this is useful, I can send a short proof pack or book a call. Claims: retainedb-sub40-p95, retainedb-any-llm, retainedb-canonical-mcp-surface, retainedb-tree-search, retainedb-zero-rearchitecting, retainedb-canonical-memory-api

Headline: AutoPallet Robotics should not have to rebuild for coding assistant context grounding. Subhead: grounded coding agents. Persistent memory. Grounded docs. Three calls. Works with any LLM. Zero rearchitecting. CTA: Book a call. Claims: retainedb-sub40-p95, retainedb-any-llm, retainedb-canonical-mcp-surface, retainedb-tree-search, retainedb-zero-rearchitecting, retainedb-canonical-memory-api

Hi there, Saw the signal around yc: pirouette pharma. The visible pain looks like memory and grounding pain. Pirouette Pharma looks like a fit for memory and grounding pain. RetainDB gives AI teams persistent memory across sessions and answers from grounded docs, not model guesses. Three calls. Persistent memory. Zero rearchitecting. Main outcome: less context rebuilding. If this is useful, I can send a short proof pack or book a call. Claims: retainedb-persistent-memory, retainedb-grounded-docs, retainedb-three-calls, retainedb-zero-rearchitecting, retainedb-any-llm

Headline: Pirouette Pharma should not have to rebuild for memory and grounding pain. Subhead: less context rebuilding. Persistent memory. Grounded docs. Three calls. Works with any LLM. Zero rearchitecting. CTA: Book a call. Claims: retainedb-persistent-memory, retainedb-grounded-docs, retainedb-three-calls, retainedb-zero-rearchitecting, retainedb-any-llm