kosha (कोश) — a treasury of your repo and environment context for coding agents. FTS5 + vector search + call graph, no LLMs required.
Project description
kosha
kosha (कोश) — persistent knowledge of your codebase and installed packages for humans and AI coding assistants.
FTS5 + vector search + call graph, merged with RRF. Each result includes the snippet, callers, callees, and PageRank. No LLMs required.
Install
kosha is a dev dependency — it indexes at development time so AI coding assistants can search it.
uv add --dev kosha
One-time project setup — installs SKILL.md so every agent picks up the
skill automatically:
Kosha(install_skill=True) # writes .agents/skills/kosha/ and .claude/skills/kosha/
Sync
Once per session; subsequent calls are incremental (only changed files and new versions re-indexed).
k = Kosha()
k.sync(pkgs=['fastcore', 'litesearch'])
syncing files [Path('/Users/71293/code/personal/orgs/kosha/kosha/cli.py'), Path('/Users/71293/code/personal/orgs/kosha/kosha/core.py'), Path('/Users/71293/code/personal/orgs/kosha/kosha/graph.py'), Path('/Users/71293/code/personal/orgs/kosha/kosha/skill.py')] .....
parse files from /Users/71293/code/personal/orgs/kosha: 100%|██████████| 4/4 [00:00<00:00, 60.67it/s]
removed 55 outdated chunks from code store.
adding 8 new/updated chunks to code store...
{'changed': 8, 'same': 205, 'removed': 94}
synced repo
loading pkgs ['fastcore', 'litesearch'] ...
Updating packages: 0%| | 0/2 [00:00<?, ?pkg/s]
updating pkg: fastcore ...
Updating packages: 100%|██████████| 2/2 [00:00<00:00, 3.86pkg/s]
package {'name': 'fastcore', 'version': '1.12.47'} already loaded.
updating pkg: litesearch ...
package {'name': 'litesearch', 'version': '0.0.29'} already loaded.
loading code graph for packages: 100%|██████████| 2/2 [00:02<00:00, 1.42s/pkg]
[None, None, <kosha.graph.CodeGraph object>]
k.status()
{'files': 3,
'packages': 182,
'graph_nodes': 85874,
'stale_files': 0,
'stale_pkgs': {}}
Re-run k.sync() after uv add, version bumps, or significant code
changes. If stale_files > 0 or stale_pkgs is non-empty, sync before
querying.
Use k.sync(force_graph=True) to rebuild the call graph on an existing
DB without re-embedding — useful after a kosha update that changes graph
logic.
1 — Check before implementing
Before writing any new function, verify it doesn’t already exist in a dependency.
results = k.env_context('atomic write temp file permissions', limit=5)
for r in results:
print(r['metadata']['mod_name'])
print(' ', r['content'].splitlines()[0])
print()
setuptools._core_metadata.write_pkg_info
def write_pkg_info(self, base_dir):
requests.utils.atomic_open
def atomic_open(filename):
jupyter_server.services.contents.fileio.FileManagerMixin
class FileManagerMixin(LoggingConfigurable, Configurable):
anyio._core._tempfile.SpooledTemporaryFile.write
async def write(self: SpooledTemporaryFile[bytes], b: ReadableBuffer) -> int: ...
jupyter_server.services.contents.fileio.FileManagerMixin
class FileManagerMixin(LoggingConfigurable, Configurable):
Package names in the query are auto-detected as filters. package:,
path:, type: tokens narrow further:
k.env_context('package:fastcore path:xtras atomic save', limit=8)
Need more info on a package? Call pkg_url to get its repo/docs
URL, then use websearch for changelogs, API docs, or migration guides:
from kosha.core import pkg_url
pkg_url('litesearch')
'https://github.com/Karthik777/litesearch'
2 — Find existing patterns
Any task that adds or modifies behaviour. Run before touching files.
results = k.context('search code embeddings', limit=6, graph=True)
for r in results:
m = r['metadata']
print(f"{m['mod_name']} L{m.get('lineno','?')} "
f"pr={r.get('pagerank',0):.4f} callers={list(r.get('callers',[]))[:2]}")
kosha.core.repo_context L364 pr=0.0002 callers=['kosha.graph.context', 'kosha.core.Kosha']
litesearch.core.vec_search L42 pr=0.0004 callers=['litesearch.core.Table']
kosha.core.env_context L333 pr=0.0002 callers=['kosha.graph.context', 'kosha.core.Kosha']
litesearch.core.vec_search L42 pr=0.0004 callers=['litesearch.core.Table']
kosha.core.pkg_context L397 pr=0.0001 callers=['kosha.graph.task_context', 'kosha.core.Kosha']
chonkie.handshakes.pinecone.PineconeHandshake.search L201 pr=0.0000 callers=['chonkie.chunker.slumber.SlumberChunker._extract_index_from_text', 'chonkie.handshakes.elastic.ElasticHandshake.search']
pagerank = blast radius — higher means more things depend on it, touch
carefully.
3 — Understand a node
Who calls this? What does it call? What are its peers?
info = k.ni('fastcore.basics.merge')
print('pagerank:', info.get('pagerank', 0))
print('callers: ', list(info.get('callers', []))[:5])
print('callees: ', list(info.get('callees', []))[:5])
print('co_dispatched:', list(info.get('co_dispatched', []))[:5])
pagerank: 3e-05
callers: ['fastcore.script.call_parse._f', 'fastcore.script.call_parse._f', 'fastcore.script.call_parse._f', 'fastcore.script.call_parse._f', 'fastcore.script.call_parse._f']
callees: ['fastcore.basics.NS.__iter__', 'fastcore.nbio.Notebook.__iter__', 'fastcore.xtras.SaveReturn.__iter__', 'fastcore.xml.FT.__iter__', 'fastcore.docscrape.NumpyDocString.__iter__']
co_dispatched: []
co_dispatched lists sibling functions registered together (route
groups, handler tables, plugin lists) — the pattern to follow when
adding a new one.
4 — Find where to add new code
pts = k.where_to_add('add dynamic ast parsing for patched functions', limit=3)
for p in pts:
co = ', '.join(p['co_dispatched'][:3])
print(f"{p['path']}:{p['insert_after']} ({p['node']})")
if co: print(f' peers: {co}')
/Users/71293/code/personal/orgs/kosha/kosha/graph.py:130 (kosha.graph._patch_edges)
Triage — scan many results quickly
compact=True strips full code bodies and returns slim dicts for fast
scanning.
hits = k.context('database search filter package:litesearch', limit=10,repo=False, compact=True)
for r in hits:
sig = r.get('sig', '')
doc = (r.get('docstring') or '')[:60]
print(f"{r['mod_name']} L{r.get('lineno','?')}")
if sig: print(f' {sig}')
if doc: print(f' # {doc}')
litesearch.core.search L94
def search(self: Database, # database connection
# Search the litesearch store with fts and vector search combi
litesearch.core.vec_search L42
def vec_search(self: Table,
litesearch.core.vec_search L42
def vec_search(self: Table,
# Vector similarity search on any table with an embedding colu
litesearch.core.database L75
def database(pth_or_uri:str=':memory:', # the database name or URL
litesearch.core.database L75
def database(pth_or_uri:str=':memory:', # the database name or URL
# Set up a database connection and load usearch extensions.
litesearch.cli.main L21
def main():
litesearch.data.pre L250
def pre(q:str, # query to be passed for fts search
# Preprocess the query for fts search.
litesearch.core.search L94
def search(self: Database, # database connection
litesearch.data.pre L240
def pre(q:str, # query to be passed for fts search
litesearch.data.clean L218
def clean(q:str # query to be passed for fts search
Public API surface
api = k.public_api('fastcore', limit=12)
for e in api:
name = e.get('mod_name', '')
doc = (e.get('docstring') or '')[:55]
print(f"{name}" + (f' # {doc}' if doc else ''))
fastcore.foundation.cycle
fastcore.foundation.product
fastcore.foundation.flatmap
fastcore.foundation.unique
fastcore.foundation.val2idx
fastcore.foundation.range
fastcore.foundation.enumerate
fastcore.foundation.renumerate
fastcore.foundation.split
fastcore.foundation.splitlines
fastcore.foundation.map
fastcore.foundation.groupby
Graph navigation — paths and dependency layers
Trace how nodes connect, find shortest call paths, and walk dependency layers.
from fastcore.all import L
k.graphdb.t.graph_edges(where='callee like "%litesearch%"')
[{'id': 153331,
'caller': 'litesearch.core.Database',
'callee': 'litesearch.core.query',
'kind': 'patch',
'confidence': 0.9},
{'id': 153332,
'caller': 'litesearch.core.Database',
'callee': 'litesearch.core.get_store',
'kind': 'patch',
'confidence': 0.9},
{'id': 153333,
'caller': 'litesearch.core.Table',
'callee': 'litesearch.core.vec_search',
'kind': 'patch',
'confidence': 0.9},
{'id': 153334,
'caller': 'litesearch.core.Database',
'callee': 'litesearch.core.search',
'kind': 'patch',
'confidence': 0.9},
{'id': 153335,
'caller': 'litesearch.data.PdfDocument',
'callee': 'litesearch.data.pdf_texts',
'kind': 'patch',
'confidence': 0.9},
{'id': 153336,
'caller': 'litesearch.data.PdfDocument',
'callee': 'litesearch.data.pdf_links',
'kind': 'patch',
'confidence': 0.9},
{'id': 153337,
'caller': 'litesearch.data.PdfDocument',
'callee': 'litesearch.data.pdf_images',
'kind': 'patch',
'confidence': 0.9},
{'id': 153338,
'caller': 'litesearch.data.PdfDocument',
'callee': 'litesearch.data.pdf_markdown',
'kind': 'patch',
'confidence': 0.9},
{'id': 153339,
'caller': 'litesearch.data.PdfDocument',
'callee': 'litesearch.data.pdf_tables',
'kind': 'patch',
'confidence': 0.9},
{'id': 153340,
'caller': 'litesearch.data.PdfDocument',
'callee': 'litesearch.data.pdf_spans',
'kind': 'patch',
'confidence': 0.9},
{'id': 153341,
'caller': 'litesearch.data.PdfDocument',
'callee': 'litesearch.data.pdf_chunks',
'kind': 'patch',
'confidence': 0.9},
{'id': 153342,
'caller': 'litesearch.data.pdf_chunks',
'callee': 'litesearch.data.chunk_markdown',
'kind': 'delegates',
'confidence': 0.85},
{'id': 153343,
'caller': 'litesearch.data.file_parse',
'callee': 'litesearch.data.pyparse',
'kind': 'delegates',
'confidence': 0.85},
{'id': 153344,
'caller': 'litesearch.data.pkg2files',
'callee': 'litesearch.data.globtastic',
'kind': 'delegates',
'confidence': 0.85},
{'id': 153345,
'caller': 'litesearch.data.dir2files',
'callee': 'litesearch.data.globtastic',
'kind': 'delegates',
'confidence': 0.85},
{'id': 153346,
'caller': 'litesearch.data.dir2chunks',
'callee': 'litesearch.data.dir2files',
'kind': 'delegates',
'confidence': 0.85},
{'id': 187455,
'caller': 'litesearch.cli.install',
'callee': 'litesearch.data.mv_skill_md',
'kind': 'static',
'confidence': 1.0},
{'id': 187457,
'caller': 'litesearch.cli.main',
'callee': 'litesearch.cli.CMDS',
'kind': 'static',
'confidence': 1.0},
{'id': 187458,
'caller': 'litesearch.core._dtype_suffix',
'callee': 'litesearch.core._dtype_suffixes',
'kind': 'static',
'confidence': 1.0},
{'id': 187466,
'caller': 'litesearch.core.get_store',
'callee': 'litesearch.data.kw',
'kind': 'static',
'confidence': 1.0},
{'id': 187471,
'caller': 'litesearch.core.vec_search',
'callee': 'litesearch.core._dtype_suffix',
'kind': 'static',
'confidence': 1.0},
{'id': 187474,
'caller': 'litesearch.core.database',
'callee': 'litesearch.data.kw',
'kind': 'static',
'confidence': 1.0},
{'id': 187481,
'caller': 'litesearch.core.search',
'callee': 'litesearch.core.rrf_merge',
'kind': 'static',
'confidence': 1.0},
{'id': 187512,
'caller': 'litesearch.data.pdf_chunks',
'callee': 'litesearch.data.pdf_markdown',
'kind': 'static',
'confidence': 1.0},
{'id': 187513,
'caller': 'litesearch.data.pdf_chunks',
'callee': 'litesearch.data.chunk_markdown',
'kind': 'static',
'confidence': 1.0},
{'id': 187517,
'caller': 'litesearch.data.pdf_chunks.genexpr.0',
'callee': 'litesearch.data.chunk_markdown',
'kind': 'static',
'confidence': 1.0},
{'id': 187523,
'caller': 'litesearch.data.pyparse',
'callee': 'litesearch.data.pyparse.is_allowed',
'kind': 'static',
'confidence': 1.0},
{'id': 187524,
'caller': 'litesearch.data.pyparse',
'callee': 'litesearch.data.pyparse.n2c',
'kind': 'static',
'confidence': 1.0},
{'id': 187529,
'caller': 'litesearch.data.pyparse.n2c',
'callee': 'litesearch.data.pyparse.meta',
'kind': 'static',
'confidence': 1.0},
{'id': 187531,
'caller': 'litesearch.data.pyparse.is_allowed',
'callee': 'litesearch.data.pyparse.is_p_mod',
'kind': 'static',
'confidence': 1.0},
{'id': 187532,
'caller': 'litesearch.data.pyparse.is_allowed',
'callee': 'litesearch.data.pyparse.is_assign',
'kind': 'static',
'confidence': 1.0},
{'id': 187533,
'caller': 'litesearch.data.pyparse.is_allowed',
'callee': 'litesearch.data.pyparse.is_mod',
'kind': 'static',
'confidence': 1.0},
{'id': 187535,
'caller': 'litesearch.data.ipynb_parse.lambda.0',
'callee': 'litesearch.data.ipynb_parse.meta_',
'kind': 'static',
'confidence': 1.0},
{'id': 187536,
'caller': 'litesearch.data.ipynb_parse',
'callee': 'litesearch.data.ipynb_parse.meta_',
'kind': 'static',
'confidence': 1.0},
{'id': 187540,
'caller': 'litesearch.data.non_py_sigs.lambda.0',
'callee': 'litesearch.data.non_py_sigs.meta_',
'kind': 'static',
'confidence': 1.0},
{'id': 187541,
'caller': 'litesearch.data.non_py_sigs',
'callee': 'litesearch.data.non_py_sigs.meta_',
'kind': 'static',
'confidence': 1.0},
{'id': 187547,
'caller': 'litesearch.data.file_parse',
'callee': 'litesearch.data.chunk_markdown',
'kind': 'static',
'confidence': 1.0},
{'id': 187548,
'caller': 'litesearch.data.file_parse',
'callee': 'litesearch.data.ipynb_parse',
'kind': 'static',
'confidence': 1.0},
{'id': 187551,
'caller': 'litesearch.data.file_parse',
'callee': 'litesearch.data.chunk_texts',
'kind': 'static',
'confidence': 1.0},
{'id': 187552,
'caller': 'litesearch.data.file_parse',
'callee': 'litesearch.data.pyparse',
'kind': 'static',
'confidence': 1.0},
{'id': 187553,
'caller': 'litesearch.data.file_parse',
'callee': 'litesearch.data.non_py_sigs',
'kind': 'static',
'confidence': 1.0},
{'id': 187555,
'caller': 'litesearch.data.file_parse',
'callee': 'litesearch.data.file_parse.meta_',
'kind': 'static',
'confidence': 1.0},
{'id': 187557,
'caller': 'litesearch.data.file_parse.lambda.0',
'callee': 'litesearch.data.file_parse.meta_',
'kind': 'static',
'confidence': 1.0},
{'id': 187558,
'caller': 'litesearch.data.file_parse.lambda.1',
'callee': 'litesearch.data.file_parse.meta_',
'kind': 'static',
'confidence': 1.0},
{'id': 187562,
'caller': 'litesearch.data.pkg2files',
'callee': 'litesearch.data.spec',
'kind': 'static',
'confidence': 1.0},
{'id': 187571,
'caller': 'litesearch.data.pkg2chunks',
'callee': 'litesearch.data.kw',
'kind': 'static',
'confidence': 1.0},
{'id': 187572,
'caller': 'litesearch.data.pkg2chunks',
'callee': 'litesearch.data.pkg2files',
'kind': 'static',
'confidence': 1.0},
{'id': 187574,
'caller': 'litesearch.data.pkg2chunks',
'callee': 'litesearch.data.file_parse',
'kind': 'static',
'confidence': 1.0},
{'id': 187579,
'caller': 'litesearch.data.dir2chunks',
'callee': 'litesearch.data.dir2files',
'kind': 'static',
'confidence': 1.0},
{'id': 187581,
'caller': 'litesearch.data.dir2chunks',
'callee': 'litesearch.data.file_parse',
'kind': 'static',
'confidence': 1.0},
{'id': 187586,
'caller': 'litesearch.data.installed_packages',
'callee': 'litesearch.data.repo_root',
'kind': 'static',
'confidence': 1.0},
{'id': 187588,
'caller': 'litesearch.data.installed_packages',
'callee': 'litesearch.data.spec',
'kind': 'static',
'confidence': 1.0},
{'id': 187590,
'caller': 'litesearch.data.pre',
'callee': 'litesearch.data.add_wc',
'kind': 'static',
'confidence': 1.0},
{'id': 187591,
'caller': 'litesearch.data.pre',
'callee': 'litesearch.data.kw',
'kind': 'static',
'confidence': 1.0},
{'id': 187592,
'caller': 'litesearch.data.pre',
'callee': 'litesearch.data.mk_wider',
'kind': 'static',
'confidence': 1.0},
{'id': 187593,
'caller': 'litesearch.data.pre',
'callee': 'litesearch.data.clean',
'kind': 'static',
'confidence': 1.0},
{'id': 187596,
'caller': 'litesearch.data.images_to_pdf',
'callee': 'litesearch.data.png_det',
'kind': 'static',
'confidence': 1.0},
{'id': 187597,
'caller': 'litesearch.data.images_to_pdf',
'callee': 'litesearch.data.img2png',
'kind': 'static',
'confidence': 1.0},
{'id': 187598,
'caller': 'litesearch.data.images_to_pdf.listcomp.0',
'callee': 'litesearch.data.img2png',
'kind': 'static',
'confidence': 1.0},
{'id': 187599,
'caller': 'litesearch.data.images_to_pdf.listcomp.0',
'callee': 'litesearch.data.png_det',
'kind': 'static',
'confidence': 1.0},
{'id': 187600,
'caller': 'litesearch.data.mv_skill_md',
'callee': 'litesearch.data.repo_root',
'kind': 'static',
'confidence': 1.0},
{'id': 187606,
'caller': 'litesearch.utils.FastEncode.__init__',
'callee': 'litesearch.utils.download_model',
'kind': 'static',
'confidence': 1.0},
{'id': 187607,
'caller': 'litesearch.utils.FastEncode.__init__',
'callee': 'litesearch.utils.model',
'kind': 'static',
'confidence': 1.0},
{'id': 187608,
'caller': 'litesearch.utils.FastEncode.__init__',
'callee': 'litesearch.utils.FastEncode._load_enc',
'kind': 'static',
'confidence': 1.0},
{'id': 187614,
'caller': 'litesearch.utils.FastEncode._load_enc',
'callee': 'litesearch.utils.FastEncode._load_tok',
'kind': 'static',
'confidence': 1.0},
{'id': 187616,
'caller': 'litesearch.utils.FastEncode._load_enc',
'callee': 'litesearch.utils.FastEncode._maybe_quantize',
'kind': 'static',
'confidence': 1.0},
{'id': 187617,
'caller': 'litesearch.utils.FastEncode._load_enc',
'callee': 'litesearch.utils.download_model',
'kind': 'static',
'confidence': 1.0},
{'id': 187621,
'caller': 'litesearch.utils.FastEncode._load_tok',
'callee': 'litesearch.utils.download_model',
'kind': 'static',
'confidence': 1.0},
{'id': 187623,
'caller': 'litesearch.utils.FastEncode._encode_batch',
'callee': 'litesearch.utils.FastEncode._mp',
'kind': 'static',
'confidence': 1.0},
{'id': 187624,
'caller': 'litesearch.utils.FastEncode._encode_batch',
'callee': 'litesearch.utils.FastEncode._enc',
'kind': 'static',
'confidence': 1.0},
{'id': 187625,
'caller': 'litesearch.utils.FastEncode._encode_batch',
'callee': 'litesearch.utils.FastEncode._load_enc',
'kind': 'static',
'confidence': 1.0},
{'id': 187629,
'caller': 'litesearch.utils.FastEncode.encode',
'callee': 'litesearch.utils.FastEncode._encode_batch',
'kind': 'static',
'confidence': 1.0},
{'id': 187630,
'caller': 'litesearch.utils.FastEncode.encode',
'callee': 'litesearch.utils.FastEncode._load_enc',
'kind': 'static',
'confidence': 1.0},
{'id': 187631,
'caller': 'litesearch.utils.FastEncode.encode',
'callee': 'litesearch.data.kw',
'kind': 'static',
'confidence': 1.0},
{'id': 187632,
'caller': 'litesearch.utils.FastEncode.encode.lambda.0',
'callee': 'litesearch.utils.FastEncode._encode_batch',
'kind': 'static',
'confidence': 1.0},
{'id': 187633,
'caller': 'litesearch.utils.FastEncode.encode.lambda.0',
'callee': 'litesearch.data.kw',
'kind': 'static',
'confidence': 1.0},
{'id': 187634,
'caller': 'litesearch.utils.FastEncode.encode_document',
'callee': 'litesearch.utils.FastEncode.encode',
'kind': 'static',
'confidence': 1.0},
{'id': 187635,
'caller': 'litesearch.utils.FastEncode.encode_document',
'callee': 'litesearch.utils.FastEncode.__init__',
'kind': 'static',
'confidence': 1.0},
{'id': 187636,
'caller': 'litesearch.utils.FastEncode.encode_document',
'callee': 'litesearch.data.kw',
'kind': 'static',
'confidence': 1.0},
{'id': 187638,
'caller': 'litesearch.utils.FastEncode.encode_document.lambda.0',
'callee': 'litesearch.utils.FastEncode.__init__',
'kind': 'static',
'confidence': 1.0},
{'id': 187639,
'caller': 'litesearch.utils.FastEncode.encode_query',
'callee': 'litesearch.utils.FastEncode.encode',
'kind': 'static',
'confidence': 1.0},
{'id': 187640,
'caller': 'litesearch.utils.FastEncode.encode_query',
'callee': 'litesearch.utils.FastEncode.__init__',
'kind': 'static',
'confidence': 1.0},
{'id': 187641,
'caller': 'litesearch.utils.FastEncode.encode_query',
'callee': 'litesearch.data.kw',
'kind': 'static',
'confidence': 1.0},
{'id': 187643,
'caller': 'litesearch.utils.FastEncode.encode_query.lambda.0',
'callee': 'litesearch.utils.FastEncode.__init__',
'kind': 'static',
'confidence': 1.0},
{'id': 187644,
'caller': 'litesearch.utils.download_model',
'callee': 'litesearch.utils.model',
'kind': 'static',
'confidence': 1.0},
{'id': 187648,
'caller': 'litesearch.utils.FastEncodeImage.__init__',
'callee': 'litesearch.utils.model',
'kind': 'static',
'confidence': 1.0},
{'id': 187650,
'caller': 'litesearch.utils.FastEncodeImage.__init__',
'callee': 'litesearch.utils.download_model',
'kind': 'static',
'confidence': 1.0},
{'id': 187651,
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'caller': 'litesearch.utils.FastEncodeImage.embed.lambda.0',
'callee': 'litesearch.utils.FastEncodeImage._encode_batch',
'kind': 'static',
'confidence': 1.0},
{'id': 423541,
'caller': 'litesearch.utils.FastEncodeImage.embed.lambda.0',
'callee': 'litesearch.data.kw',
'kind': 'static',
'confidence': 1.0},
{'id': 423543,
'caller': 'litesearch.utils.FastEncodeMultimodal.__init__',
'callee': 'litesearch.utils.download_model',
'kind': 'static',
'confidence': 1.0},
{'id': 423545,
'caller': 'litesearch.utils.FastEncodeMultimodal.__init__',
'callee': 'litesearch.utils.FastEncode',
'kind': 'static',
'confidence': 1.0},
{'id': 423547,
'caller': 'litesearch.utils.FastEncodeMultimodal.__init__',
'callee': 'litesearch.utils.FastEncodeImage',
'kind': 'static',
'confidence': 1.0},
{'id': 423548,
'caller': 'litesearch.utils.FastEncodeMultimodal.__init__',
'callee': 'litesearch.utils.FastEncodeImage.__init__',
'kind': 'static',
'confidence': 1.0},
{'id': 423549,
'caller': 'litesearch.utils.FastEncodeMultimodal.__init__',
'callee': 'litesearch.utils.model',
'kind': 'static',
'confidence': 1.0},
{'id': 423550,
'caller': 'litesearch.utils.FastEncodeMultimodal.__init__',
'callee': 'litesearch.utils.FastEncode.__init__',
'kind': 'static',
'confidence': 1.0},
{'id': 423551,
'caller': 'litesearch.utils.FastEncodeMultimodal.encode_text',
'callee': 'litesearch.utils.FastEncode.encode',
'kind': 'static',
'confidence': 1.0},
{'id': 423552,
'caller': 'litesearch.utils.FastEncodeMultimodal.encode_text',
'callee': 'litesearch.data.kw',
'kind': 'static',
'confidence': 1.0},
{'id': 423553,
'caller': 'litesearch.utils.FastEncodeMultimodal.encode_image',
'callee': 'litesearch.utils.FastEncodeImage.embed',
'kind': 'static',
'confidence': 1.0},
{'id': 423554,
'caller': 'litesearch.utils.FastEncodeMultimodal.encode_image',
'callee': 'litesearch.data.kw',
'kind': 'static',
'confidence': 1.0},
{'id': 423555,
'caller': 'litesearch.utils.encode_pdf_texts',
'callee': 'litesearch.data.kw',
'kind': 'static',
'confidence': 1.0},
{'id': 423556,
'caller': 'litesearch.utils.encode_pdf_texts',
'callee': 'litesearch.data.pdf_chunks',
'kind': 'static',
'confidence': 1.0},
{'id': 423558,
'caller': 'litesearch.utils.encode_pdf_texts',
'callee': 'litesearch.utils.FastEncode.encode_document',
'kind': 'static',
'confidence': 1.0},
{'id': 423559,
'caller': 'litesearch.utils.encode_pdf_images',
'callee': 'litesearch.utils.FastEncodeImage.embed',
'kind': 'static',
'confidence': 1.0}]
L(k.ni('kosha.core.env_context')['callees']).filter(lambda x: 'search' in x)
['litesearch.core.search']
# Shortest call chain between two graph nodes
k.short_path('kosha.core.env_context', 'litesearch.core.search')
['kosha.core.env_context', 'litesearch.core.search']
# Public-API → public-API call paths between two packages
paths = k.api_call_paths('kosha', 'litesearch', k=10)
for tgt, path in sorted(paths.items(), key=lambda x: len(x[1]))[:3]:
print(f'{tgt}: {len(path)} hops')
print(' ', ' → '.join(path))
# BFS dependency layers from a seed package, ordered by coupling strength
k.dep_stack(seeds=['kosha'], depth=2)
[['kosha']]
# Top-k nodes by PageRank in a package
k.graph.ranked(k=5, module='fastcore')
[{'node': 'fastcore.imports.NoneType', 'pagerank': 0.00069}, {'node': 'fastcore.utils.*', 'pagerank': 0.00041}, {'node': 'fastcore.xdg.*', 'pagerank': 0.00038}, {'node': 'fastcore.nbio.*', 'pagerank': 0.00038}, {'node': 'fastcore.basics.patch', 'pagerank': 0.0003}]
Daemon mode — warm kernel for sessions
The first kosha call in a process pays a 3–5s embedder cold-start.
kosha daemon keeps a warm process running and routes JSON requests
over stdin/stdout, so subsequent calls are immediate.
kosha daemon & # start once per session
Then send newline-delimited JSON requests:
→ {"cmd":"context","args":{"q":"embed a query","limit":10}}
← {"ok":true,"result":[…]}
→ {"cmd":"short_path","args":{"src":"kosha.core.Kosha.sync","tgt":"litesearch.core.search"}}
← {"ok":true,"result":[…]}
Available commands: sync, status, context, repo_context,
env_context, ni, neighbors, short_path, top_nodes,
public_api, api_call_paths, dep_stack, where_to_add.
Live watch mode
Re-index the repo incrementally on every file change (blocking — Ctrl-C to stop):
kosha watch
or programmatically:
k.watch_repo()
CLI
Shell access to everything. Markdown by default; --as_json pipes into
jq.
kosha install # install SKILL.md to .agents/ and .claude/
kosha sync # index repo + env + call graph
kosha status # check index freshness
kosha context "embed a query" --as_json | jq '.[].metadata.mod_name'
kosha ni "fastcore.basics.merge" # node info
kosha where-to-add "new route handler"
kosha public-api fastcore
kosha api-paths kosha litesearch
kosha daemon # persistent kernel — warm for all session calls
Harness install
Kosha(install_skill=True) # installs to .agents/ and .claude/
Commit .agents/skills/kosha/SKILL.md so every contributor picks up the
skill automatically.
pyskills
kosha registers as a pyskill
(kosha.skill) for Python-native LLM hosts.
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