REPOGEO REPORT · LITE
tickernelz/opencode-mem
Default branch main · commit 0a7805b8 · scanned 6/10/2026, 5:56:46 AM
GitHub: 875 stars · 89 forks
Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.
2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).
Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface tickernelz/opencode-mem, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.
Action plan — copy-paste fixes
3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.
- highreadme#1Reposition README's opening to clarify its role as an OpenCode plugin
Why:
CURRENTA persistent memory system for AI coding agents that enables long-term context retention across sessions using local vector database technology.
COPY-PASTE FIXAn OpenCode plugin that provides a persistent memory system for AI coding agents, enabling long-term context retention across sessions using local vector database technology.
- hightopics#2Add relevant topics to the repository
Why:
COPY-PASTE FIXai-agents, persistent-memory, vector-database, opencode, ai-coding-assistant, local-embeddings, bun-runtime
- mediumlicense#3Add a LICENSE file to the repository
Why:
COPY-PASTE FIXCreate a LICENSE file in the repository root, choosing an appropriate open-source license (e.g., MIT, Apache-2.0, GPL-3.0) that aligns with the project's goals.
Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash
Category visibility — the real GEO test
Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?
Same questions for every model — switch tabs to compare answers and rankings.
- chroma-core/chroma · recommended 1×
- lancedb/lancedb · recommended 1×
- facebookresearch/faiss · recommended 1×
- milvus-io/milvus · recommended 1×
- qdrant/qdrant · recommended 1×
- CATEGORY QUERYHow can I give my AI coding agent persistent memory using a local vector database?you: not recommendedAI recommended (in order):
- ChromaDB (chroma-core/chroma)
- LanceDB (lancedb/lancedb)
- FAISS (facebookresearch/faiss)
- Milvus Lite (milvus-io/milvus)
- Qdrant (qdrant/qdrant)
- Weaviate (weaviate/weaviate)
AI recommended 6 alternatives but never named tickernelz/opencode-mem. This is the gap to close.
Show full AI answer
- CATEGORY QUERYWhat tools provide long-term context retention for AI agents with local embeddings and Bun runtime?you: not recommendedAI recommended (in order):
- Chroma
- LangChain.js
- LanceDB
- LlamaIndex.TS
- Qdrant
- Haystack
- Faiss
- Pinecone
AI recommended 8 alternatives but never named tickernelz/opencode-mem. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenessfail
Suggestion:
- README presencepass
Self-mention check
Does AI even know your repo exists when asked about it directly?
- Compared to common alternatives in this category, what is the core differentiator of tickernelz/opencode-mem?passAI named tickernelz/opencode-mem explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts tickernelz/opencode-mem in production, what risks or prerequisites should they evaluate first?passAI named tickernelz/opencode-mem explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- In one sentence, what problem does the repo tickernelz/opencode-mem solve, and who is the primary audience?passAI did not name tickernelz/opencode-mem — likely talking about a different project
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
Embed your GEO score
Drop this badge into the README of tickernelz/opencode-mem. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.
[](https://repogeo.com/en/r/tickernelz/opencode-mem)<a href="https://repogeo.com/en/r/tickernelz/opencode-mem"><img src="https://repogeo.com/badge/tickernelz/opencode-mem.svg" alt="RepoGEO" /></a>Subscribe to Pro for deep diagnoses
tickernelz/opencode-mem — Lite scans stay free; this card itemizes Pro deep limits vs Lite.
- Deep reports10 / month
- Brand-free category queries5 vs 2 in Lite
- Prioritized action items8 vs 3 in Lite