Files
Case b93228ddc2 2026-02-07: ChromaDB memory, browser capability, X feed analysis pipeline
- Server recovery after 7-day outage
- OpenClaw updated to 2026.2.6-3
- Fixed Proxmox noVNC (Wayland→X11, auto-login)
- ChromaDB memory plugin live (LXC at 192.168.86.25)
- Google Chrome installed, browser tool working
- Built x-feed-scraper.sh for automated X feed capture
- Sub-agent parallel analysis pipeline tested
- Memory files updated
2026-02-07 22:58:06 -06:00

281 lines
8.3 KiB
TypeScript

/**
* ChromaDB Memory Plugin for OpenClaw
*
* Provides:
* 1. chromadb_search tool - manual semantic search over ChromaDB
* 2. Auto-recall - injects relevant memories before each agent turn
*
* Uses local Ollama (nomic-embed-text) for embeddings. No cloud APIs.
*/
// Use plain JSON Schema instead of typebox (not available in workspace context)
type OpenClawPluginApi = any;
// ============================================================================
// Config
// ============================================================================
interface ChromaDBConfig {
chromaUrl: string;
collectionId: string;
ollamaUrl: string;
embeddingModel: string;
autoRecall: boolean;
autoRecallResults: number;
minScore: number;
}
function parseConfig(raw: unknown): ChromaDBConfig {
const cfg = (raw ?? {}) as Record<string, unknown>;
return {
chromaUrl: (cfg.chromaUrl as string) || "http://localhost:8100",
collectionId: cfg.collectionId as string,
ollamaUrl: (cfg.ollamaUrl as string) || "http://localhost:11434",
embeddingModel: (cfg.embeddingModel as string) || "nomic-embed-text",
autoRecall: cfg.autoRecall !== false,
autoRecallResults: (cfg.autoRecallResults as number) || 3,
minScore: (cfg.minScore as number) || 0.5,
};
}
// ============================================================================
// Ollama Embeddings
// ============================================================================
async function getEmbedding(
ollamaUrl: string,
model: string,
text: string,
): Promise<number[]> {
const resp = await fetch(`${ollamaUrl}/api/embeddings`, {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({ model, prompt: text }),
});
if (!resp.ok) {
throw new Error(`Ollama embedding failed: ${resp.status} ${resp.statusText}`);
}
const data = (await resp.json()) as { embedding: number[] };
return data.embedding;
}
// ============================================================================
// ChromaDB Client
// ============================================================================
interface ChromaResult {
source: string;
text: string;
distance: number;
score: number;
metadata: Record<string, string>;
}
const CHROMA_BASE = "/api/v2/tenants/default_tenant/databases/default_database/collections";
async function queryChromaDB(
chromaUrl: string,
collectionId: string,
embedding: number[],
nResults: number,
): Promise<ChromaResult[]> {
const url = `${chromaUrl}${CHROMA_BASE}/${collectionId}/query`;
const resp = await fetch(url, {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({
query_embeddings: [embedding],
n_results: nResults,
include: ["documents", "metadatas", "distances"],
}),
});
if (!resp.ok) {
throw new Error(`ChromaDB query failed: ${resp.status} ${resp.statusText}`);
}
const data = (await resp.json()) as {
ids: string[][];
documents: string[][];
metadatas: Record<string, string>[][];
distances: number[][];
};
if (!data.ids?.[0]?.length) return [];
return data.ids[0].map((id, i) => ({
source: data.metadatas[0][i]?.source || "unknown",
text: data.documents[0][i] || "",
distance: data.distances[0][i],
// Convert cosine distance to similarity score (0-1)
score: 1 - data.distances[0][i],
metadata: data.metadatas[0][i] || {},
}));
}
// ============================================================================
// Plugin
// ============================================================================
export default function register(api: OpenClawPluginApi) {
const cfg = parseConfig(api.pluginConfig);
if (!cfg.collectionId) {
api.logger.warn("chromadb-memory: No collectionId configured, plugin disabled");
return;
}
api.logger.info(
`chromadb-memory: registered (chroma: ${cfg.chromaUrl}, ollama: ${cfg.ollamaUrl}, model: ${cfg.embeddingModel})`,
);
// ========================================================================
// Tool: chromadb_search
// ========================================================================
api.registerTool({
name: "chromadb_search",
description:
"Search the ChromaDB long-term memory archive. Contains indexed memory files, session transcripts, and homelab documentation. Use when you need deep historical context or can't find something in memory_search.",
parameters: {
type: "object",
properties: {
query: { type: "string", description: "Semantic search query" },
limit: { type: "number", description: "Max results (default: 5)" },
},
required: ["query"],
},
async execute(_toolCallId, params) {
const { query, limit = 5 } = params as {
query: string;
limit?: number;
};
try {
const embedding = await getEmbedding(
cfg.ollamaUrl,
cfg.embeddingModel,
query,
);
const results = await queryChromaDB(
cfg.chromaUrl,
cfg.collectionId,
embedding,
limit,
);
if (results.length === 0) {
return {
content: [
{ type: "text", text: "No relevant results found in ChromaDB." },
],
};
}
const filtered = results.filter((r) => r.score >= cfg.minScore);
if (filtered.length === 0) {
return {
content: [
{
type: "text",
text: `Found ${results.length} results but none above similarity threshold (${cfg.minScore}). Best match: ${results[0].score.toFixed(3)} from ${results[0].source}`,
},
],
};
}
const text = filtered
.map(
(r, i) =>
`### Result ${i + 1}${r.source} (${(r.score * 100).toFixed(0)}% match)\n${r.text.slice(0, 500)}${r.text.length > 500 ? "..." : ""}`,
)
.join("\n\n");
return {
content: [
{
type: "text",
text: `Found ${filtered.length} results from ChromaDB:\n\n${text}`,
},
],
};
} catch (err) {
return {
content: [
{
type: "text",
text: `ChromaDB search error: ${String(err)}`,
},
],
isError: true,
};
}
},
});
// ========================================================================
// Auto-recall: inject relevant memories before each agent turn
// ========================================================================
if (cfg.autoRecall) {
api.on("before_agent_start", async (event: { prompt?: string }) => {
if (!event.prompt || event.prompt.length < 10) return;
try {
const embedding = await getEmbedding(
cfg.ollamaUrl,
cfg.embeddingModel,
event.prompt,
);
const results = await queryChromaDB(
cfg.chromaUrl,
cfg.collectionId,
embedding,
cfg.autoRecallResults,
);
// Filter by minimum similarity
const relevant = results.filter((r) => r.score >= cfg.minScore);
if (relevant.length === 0) return;
const memoryContext = relevant
.map(
(r) =>
`- [${r.source}] ${r.text.slice(0, 300)}${r.text.length > 300 ? "..." : ""}`,
)
.join("\n");
api.logger.info(
`chromadb-memory: auto-recall injecting ${relevant.length} memories (best: ${relevant[0].score.toFixed(3)} from ${relevant[0].source})`,
);
return {
prependContext: `<chromadb-memories>\nRelevant context from long-term memory (ChromaDB):\n${memoryContext}\n</chromadb-memories>`,
};
} catch (err) {
api.logger.warn(`chromadb-memory: auto-recall failed: ${String(err)}`);
}
});
}
// ========================================================================
// Service
// ========================================================================
api.registerService({
id: "chromadb-memory",
start: () => {
api.logger.info(
`chromadb-memory: service started (auto-recall: ${cfg.autoRecall}, collection: ${cfg.collectionId})`,
);
},
stop: () => {
api.logger.info("chromadb-memory: stopped");
},
});
}