Observed since 20 Oct, 21:58 UTC
No superseded metadata states collected. Unchanged observations do not create new revisions.
SQLite-backed MemoryStore and VectorStore for AgentForge
SQLite-backed MemoryStore and VectorStore for AgentForge.
Zero external services required — the database lives in a single file
(or :memory: for tests). Suitable for development, single-host
deployments, and small-to-medium RAG corpora (~10k vectors).
uv add agentforge-memory-sqlite
from agentforge_memory_sqlite import SqliteMemoryStore, SqliteVectorStore
# Claim audit log
async with SqliteMemoryStore.from_path("agent.db") as memory:
await memory.put(claim)
# Semantic search
async with SqliteVectorStore.from_path("agent.db", dimensions=1024) as store:
await store.upsert(items)
matches = await store.search(query_vector, limit=5)
Both classes pass agentforge_core.testing.run_memory_conformance /
run_vector_conformance so they're drop-in replacements for the
in-memory defaults.
SqliteVectorStore does brute-force cosine search in Python: O(N) per
query. Fine for ~10k vectors; sluggish past that. v0.2 will add an
opt-in sqlite-vec extension path declared via the "native_ann"
capability flag.
Download counts and popularity will appear here as the collector receives them.
| Version | Published | Direct dependencies | Open version |
|---|---|---|---|
| 0.4.0 | 24 Jun 2026 | 2 |
This describes our collected data; it is not a security assessment.
Observed since 20 Oct, 21:58 UTC
No superseded metadata states collected. Unchanged observations do not create new revisions.
package:d4f1cd19b51ea8173a4e03635b0bda6a4ef66aed7f9de393af79853830444a49